2023
Journal article
Open Access
ARIADNE: A data infrastructure for the archaeological research community
Bardi A., Assante M., Mangiacrapa F.
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.Source: ERCIM news 133 (2023): 8–9.
Project(s): ARIADNEplus
Bardi A., Assante M., Mangiacrapa F.
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.Source: ERCIM news 133 (2023): 8–9.
Project(s): ARIADNEplus
See at:
ercim-news.ercim.eu 
| ISTI Repository | CNR ExploRA
2023
Report
Unknown
InfraScience research activity report 2023
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim A. S. T., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Pagano P., Panichi G., Paratore M. T., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Vannini G. L.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Reports, 2023
DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud, EOSC Future , TAILOR
Metrics:
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim A. S. T., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Pagano P., Panichi G., Paratore M. T., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Vannini G. L.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Reports, 2023
DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR Metrics:
See at: CNR ExploRA
2023
Report
Open Access
DESIRA D5.3 - Virtual Research Environment operation report years 3-4
Assante M., Candela L., Cirillo R., Dell'Amico A., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Piccioli T.
This deliverable D5.3 "Virtual Research Environment Operation Report years 3-4" is the revised and updated version of deliverable D5.2 "Virtual Research Environment Operation Report years 1-2". It describes the activities carried out during the DESIRA project within Work Package 5. Specifically, in Task 5.1 "Knowledge Infrastructure: the DESIRA Virtual Research Environment" and Task 5.2 "Integration of Services and Tools and Use Reporting". It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at the end of the project in the DESIRA infrastructure. Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products to be developed and delivered by the DESIRA project to support Project coordination, Living Labs activities and Rural Digitization Forums activities. The development of VREs is based on three main activities: (i) the development of software artefacts that realise a set of functions (including those needed for accessing specific datasets), (ii) the deployment of these artefacts in an operational infrastructure following the release procedures and tools, and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1, 2]. This report documents the last of the above three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the context of the DESIRA project. The DESIRA Infrastructure Gateway offers end-user access to 14 VREs. As of May 2023, 14 VREs were created and operated. Specifically, the DESIRA Project VRE (cf. Sec 3.1.1) was created before the project kick-off. These VREs have served the needs of more than 390 users and more than 10.200 user sessions. This required dealing with 185 tickets (121 related to the project management, 43 requests for tasks, support and enhancements; 7 requests for incidents and bugs; 14 requests for VRE creations).Source: ISTI Project report, DESIRA, D5.3, 2023
Project(s): DESIRA
Assante M., Candela L., Cirillo R., Dell'Amico A., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Piccioli T.
This deliverable D5.3 "Virtual Research Environment Operation Report years 3-4" is the revised and updated version of deliverable D5.2 "Virtual Research Environment Operation Report years 1-2". It describes the activities carried out during the DESIRA project within Work Package 5. Specifically, in Task 5.1 "Knowledge Infrastructure: the DESIRA Virtual Research Environment" and Task 5.2 "Integration of Services and Tools and Use Reporting". It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at the end of the project in the DESIRA infrastructure. Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products to be developed and delivered by the DESIRA project to support Project coordination, Living Labs activities and Rural Digitization Forums activities. The development of VREs is based on three main activities: (i) the development of software artefacts that realise a set of functions (including those needed for accessing specific datasets), (ii) the deployment of these artefacts in an operational infrastructure following the release procedures and tools, and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1, 2]. This report documents the last of the above three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the context of the DESIRA project. The DESIRA Infrastructure Gateway offers end-user access to 14 VREs. As of May 2023, 14 VREs were created and operated. Specifically, the DESIRA Project VRE (cf. Sec 3.1.1) was created before the project kick-off. These VREs have served the needs of more than 390 users and more than 10.200 user sessions. This required dealing with 185 tickets (121 related to the project management, 43 requests for tasks, support and enhancements; 7 requests for incidents and bugs; 14 requests for VRE creations).Source: ISTI Project report, DESIRA, D5.3, 2023
Project(s): DESIRA
See at:
ISTI Repository | CNR ExploRA
2023
Report
Open Access
Blue-Cloud2026 D4.2 - VLabs implementation guidelines
Cabrera P, Assante M
Blue-Cloud 2026 builds upon the pilot Blue-Cloud project that established a pilot cyber platform, providing researchers access to multi-disciplinary datasets from observations, analytical services, and computing facilities essential for blue science. The Blue-Cloud Open Science Platform developed a collaborative environment where different services are available. A Data Discovery and Access Service (DD&AS) was developed as an overarching service to facilitate federated queries & retrieval, and smart sharing of multi- disciplinary datasets with human and machine users. The Blue-Cloud Virtual Research Environment (VRE) orchestrates the computing and analytical services in specific integrated and managed applications exploiting federated Blue-Cloud data resources as well as external data resources. The Blue-Cloud innovation potential was explored and unlocked by five dedicated demonstrators as Virtual Labs (VLabs) co-designed with top-level marine researchers to demonstrate the power of the Blue-Cloud Open Science platform. In Blue-Cloud 2026, three of these VLabs are expanded and two new ones are created. The objective is to deploy a wide range of custom methods and technologies, such as software and algorithms, using cloud- based services in the Blue-Cloud VRE. This deliverable provides guidelines on how to implement the VLabs in the VRE. The VLabs technical requirements are assessed by CNR-ISTI, partner responsible for the Blue-Cloud VRE (WP5), to ensure they meet the platform requirements and further develop the services provided by Blue-Cloud. This deliverable is the outcome of discussions held during the VRE Hands-on workshop that took place in Heraklion, Greece in June 2023. First a summary of the activities of WP4 is presented, followed by an overview of the VRE services, as presented during the workshop. VRE services offer a comprehensive array of features, fostering collaboration, facilitating data analytics, enabling result dissemination, and ensuring seamless integration with external systems. In fact, the VRE caters to the entirety of the research lifecycle. The document is structured as follows: Section 1 briefly introduces the role of this deliverable for the development and delivery of the VLab implementations. Section 2 summarises the WP4 objectives and composition. Section 3 describes the VRE services by giving a detailed overview and focuses on the solution and technical requirements for each of the 5 VLabs. The last section concludes the report summarising the guidelines and the solutions provided.Source: ISTI Project Report, Blue-Cloud2026, D4.2, 2023
Cabrera P, Assante M
Blue-Cloud 2026 builds upon the pilot Blue-Cloud project that established a pilot cyber platform, providing researchers access to multi-disciplinary datasets from observations, analytical services, and computing facilities essential for blue science. The Blue-Cloud Open Science Platform developed a collaborative environment where different services are available. A Data Discovery and Access Service (DD&AS) was developed as an overarching service to facilitate federated queries & retrieval, and smart sharing of multi- disciplinary datasets with human and machine users. The Blue-Cloud Virtual Research Environment (VRE) orchestrates the computing and analytical services in specific integrated and managed applications exploiting federated Blue-Cloud data resources as well as external data resources. The Blue-Cloud innovation potential was explored and unlocked by five dedicated demonstrators as Virtual Labs (VLabs) co-designed with top-level marine researchers to demonstrate the power of the Blue-Cloud Open Science platform. In Blue-Cloud 2026, three of these VLabs are expanded and two new ones are created. The objective is to deploy a wide range of custom methods and technologies, such as software and algorithms, using cloud- based services in the Blue-Cloud VRE. This deliverable provides guidelines on how to implement the VLabs in the VRE. The VLabs technical requirements are assessed by CNR-ISTI, partner responsible for the Blue-Cloud VRE (WP5), to ensure they meet the platform requirements and further develop the services provided by Blue-Cloud. This deliverable is the outcome of discussions held during the VRE Hands-on workshop that took place in Heraklion, Greece in June 2023. First a summary of the activities of WP4 is presented, followed by an overview of the VRE services, as presented during the workshop. VRE services offer a comprehensive array of features, fostering collaboration, facilitating data analytics, enabling result dissemination, and ensuring seamless integration with external systems. In fact, the VRE caters to the entirety of the research lifecycle. The document is structured as follows: Section 1 briefly introduces the role of this deliverable for the development and delivery of the VLab implementations. Section 2 summarises the WP4 objectives and composition. Section 3 describes the VRE services by giving a detailed overview and focuses on the solution and technical requirements for each of the 5 VLabs. The last section concludes the report summarising the guidelines and the solutions provided.Source: ISTI Project Report, Blue-Cloud2026, D4.2, 2023
See at:
ISTI Repository | CNR ExploRA
2023
Report
Open Access
FOSSR D7.2E - Call for tenders for ISTI hardware devices
Assante M., Pagano P., Piccioli T., Versienti L.
The purpose of this document is to outline the hardware purchasing decisions made for the Pisa data centre. By conducting thorough market research, we have identified the most suitable hardware resources and determined the optimal methods for procurement that align with our requirements. After careful analysis, we have decided to adopt a dual purchasing approach. A portion of the hardware will be acquired through a CONSIP agreement, while the remaining portion (GPUs Server) will be obtained through a competitive bidding process.Source: ISTI Project report, FOSSR, D7.2E, 2023
Assante M., Pagano P., Piccioli T., Versienti L.
The purpose of this document is to outline the hardware purchasing decisions made for the Pisa data centre. By conducting thorough market research, we have identified the most suitable hardware resources and determined the optimal methods for procurement that align with our requirements. After careful analysis, we have decided to adopt a dual purchasing approach. A portion of the hardware will be acquired through a CONSIP agreement, while the remaining portion (GPUs Server) will be obtained through a competitive bidding process.Source: ISTI Project report, FOSSR, D7.2E, 2023
See at:
ISTI Repository | CNR ExploRA
2023
Report
Unknown
SoBigData.it D1.2 - Plan for the acquisition and installation of new computational resources
Pagano P., Assante M., Cirillo R., Dell'Amico A., Molinaro E., Piccioli T., Silvestri S., Passarella A., Bruno R., Cicconetti C., Davini M., Di Marco A., Di Pompeo D., Stilo G., Tucci M., Croce D., Palazzo S., Schembra G., Bujari A., Bellavista P., Virone G., Greco E., Gentile A. F.
The SoBigData Research Infrastructure (RI) has the ambition to support the rising demand for cross- disciplinary research and innovation on the multiple aspects of social complexity from combined data and model-driven perspectives and the increasing importance of ethics and data scientists' responsibility as a pillar of trustworthy use of Big Data and analytical technology. Digital traces of human activities offer a considerable opportunity to scrutinise the ground truth of individual and collective behaviour at an unprecedented detail and on a global scale. Work Package 1 (WP1) focuses on the creation of computational nodes within the SoBigData RI by connecting data centres to the RI network. This initiative aims to enhance the RI storage and computing capabilities, ensuring both short and long-term scalability, robustness, availability, and reliability of services. Furthermore, it integrates state-of-the-art nodes in the domains of pervasive computing and networking, as well as beyond 5G networks. These nodes are built using the latest-generation architectures and technologies, encompassing edge and far-edge devices, the Internet of Things (IoT), and next-generation networks. By adopting this comprehensive approach, SoBigData provides access to state-of-the-art data centres while embracing advanced solutions for decentralised data centres of the future. This decentralised infrastructure spans from the cloud to the network periphery, forming a continuum of distributed data processing and networking resources. This Deliverable documents the plan for the acquisition and installation of new computational resources. The deliverable consists of 5 sections: Section 1 briefly introduces the role of this deliverable and highlights the composition of the infrastructure and its organisation in a multi-site, comprising central and peripheral sites. Sections 2, 3, and 4 provide detailed plans for the acquisition and installation of computational and hardware resources related to green data centres, pervasive computing, and beyond 5G networks. Specifically, Section 2 outlines the plan for green data centres. Section 3 focuses on the plan for pervasive computing and networking nodes. Section 4 details the plan for implementing the architectural framework of the infrastructure representing the beyond 5G node. Finally the report concludes with Section 5.Source: ISTI Project report, SoBigData.it, D1.2, 2023
Pagano P., Assante M., Cirillo R., Dell'Amico A., Molinaro E., Piccioli T., Silvestri S., Passarella A., Bruno R., Cicconetti C., Davini M., Di Marco A., Di Pompeo D., Stilo G., Tucci M., Croce D., Palazzo S., Schembra G., Bujari A., Bellavista P., Virone G., Greco E., Gentile A. F.
The SoBigData Research Infrastructure (RI) has the ambition to support the rising demand for cross- disciplinary research and innovation on the multiple aspects of social complexity from combined data and model-driven perspectives and the increasing importance of ethics and data scientists' responsibility as a pillar of trustworthy use of Big Data and analytical technology. Digital traces of human activities offer a considerable opportunity to scrutinise the ground truth of individual and collective behaviour at an unprecedented detail and on a global scale. Work Package 1 (WP1) focuses on the creation of computational nodes within the SoBigData RI by connecting data centres to the RI network. This initiative aims to enhance the RI storage and computing capabilities, ensuring both short and long-term scalability, robustness, availability, and reliability of services. Furthermore, it integrates state-of-the-art nodes in the domains of pervasive computing and networking, as well as beyond 5G networks. These nodes are built using the latest-generation architectures and technologies, encompassing edge and far-edge devices, the Internet of Things (IoT), and next-generation networks. By adopting this comprehensive approach, SoBigData provides access to state-of-the-art data centres while embracing advanced solutions for decentralised data centres of the future. This decentralised infrastructure spans from the cloud to the network periphery, forming a continuum of distributed data processing and networking resources. This Deliverable documents the plan for the acquisition and installation of new computational resources. The deliverable consists of 5 sections: Section 1 briefly introduces the role of this deliverable and highlights the composition of the infrastructure and its organisation in a multi-site, comprising central and peripheral sites. Sections 2, 3, and 4 provide detailed plans for the acquisition and installation of computational and hardware resources related to green data centres, pervasive computing, and beyond 5G networks. Specifically, Section 2 outlines the plan for green data centres. Section 3 focuses on the plan for pervasive computing and networking nodes. Section 4 details the plan for implementing the architectural framework of the infrastructure representing the beyond 5G node. Finally the report concludes with Section 5.Source: ISTI Project report, SoBigData.it, D1.2, 2023
See at: CNR ExploRA
2023
Report
Open Access
SoBigData-PlusPlus D9.2 - SoBigData e-Infrastructure Operation Report 2
Assante M., Candela L., Cirillo R., Dell'Amico A., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Piccioli T.
This Deliverable D9.2 - "SoBigData e-Infrastructure Operation Report 2" is the revised version of the deliverable D9.1 - "SoBigData e-Infrastructure Operation Report 1" [3]. It reports on the activities carried out within Work Package 9 in the period from M19 (January 2021) to M36 (December 2022) for the SoBigData e- Infrastructure operation activity. It includes a detailed set of usage indicators (i.e., the number of users, access to resources, usage of resources from scientists, etc.). It also reports the deployment and procedures governing the operation of the Virtual Research Environments, the catalogue, and the services devoted to data analytics. A total of 17 Virtual Research Environments (VREs) have been created and/or operated to serve the needs arising in the context of the project. The SoBigData gateway (https://sobigdata.d4science.org/) provide its users with: 6 Exploratories VREs paired with the use cases (Demography, Economy & Finance 2.0; Migration Studies; Societal Debates and Misinformation Analysis; Social Impacts of AI and Explainable Machine Learning; Sports Data Science; Sustainable Cities for Citizens); 4 Virtual Lab VREs - SoBigDataLab and the OpenScienceGraphLab to exploit and experiment tools and solutions, the SoBigData-PlusPlus at DSAA 2021 Lab and the XAISS VLab, conceived to be the working environment for Hands-on Tutorials showing the services provided by SoBigData for the new generation of Responsible data scientists; 3 Applications VREs - TagME, SMAPH, M-Atlas; 2 Project Internal VREs - SoBigData.eu VRE for the communications and collaboration among project and initiative members and SBD-InfraCore VRE for supporting SoBigData++ WP9; 2 Literacy And Training VREs - the SoBigDataLiteracy, supporting Critical Data Literacy of task T.2.4, creating a curated collection of literature of interest for the SoBigData Community, and the e-Learning_Area VRE to host training materials developed within the SoBigData project. As of mid-December 2022, the e-infrastructure served more than 10,000 users by a total of more than 47,000 working sessions, with an average of 1350 working sessions per month with stable trend. This required to deal with approximately 130 issue tracker tickets (65 requests for support, 4 requests for incidents and bugs, 22 requests for new features, and 39 requests for Tasks, Virtual Machine or Container creations).Source: ISTI Project report, SoBigData-PlusPlus, D9.2, 2023
Project(s): SoBigData-PlusPlus
Assante M., Candela L., Cirillo R., Dell'Amico A., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Piccioli T.
This Deliverable D9.2 - "SoBigData e-Infrastructure Operation Report 2" is the revised version of the deliverable D9.1 - "SoBigData e-Infrastructure Operation Report 1" [3]. It reports on the activities carried out within Work Package 9 in the period from M19 (January 2021) to M36 (December 2022) for the SoBigData e- Infrastructure operation activity. It includes a detailed set of usage indicators (i.e., the number of users, access to resources, usage of resources from scientists, etc.). It also reports the deployment and procedures governing the operation of the Virtual Research Environments, the catalogue, and the services devoted to data analytics. A total of 17 Virtual Research Environments (VREs) have been created and/or operated to serve the needs arising in the context of the project. The SoBigData gateway (https://sobigdata.d4science.org/) provide its users with: 6 Exploratories VREs paired with the use cases (Demography, Economy & Finance 2.0; Migration Studies; Societal Debates and Misinformation Analysis; Social Impacts of AI and Explainable Machine Learning; Sports Data Science; Sustainable Cities for Citizens); 4 Virtual Lab VREs - SoBigDataLab and the OpenScienceGraphLab to exploit and experiment tools and solutions, the SoBigData-PlusPlus at DSAA 2021 Lab and the XAISS VLab, conceived to be the working environment for Hands-on Tutorials showing the services provided by SoBigData for the new generation of Responsible data scientists; 3 Applications VREs - TagME, SMAPH, M-Atlas; 2 Project Internal VREs - SoBigData.eu VRE for the communications and collaboration among project and initiative members and SBD-InfraCore VRE for supporting SoBigData++ WP9; 2 Literacy And Training VREs - the SoBigDataLiteracy, supporting Critical Data Literacy of task T.2.4, creating a curated collection of literature of interest for the SoBigData Community, and the e-Learning_Area VRE to host training materials developed within the SoBigData project. As of mid-December 2022, the e-infrastructure served more than 10,000 users by a total of more than 47,000 working sessions, with an average of 1350 working sessions per month with stable trend. This required to deal with approximately 130 issue tracker tickets (65 requests for support, 4 requests for incidents and bugs, 22 requests for new features, and 39 requests for Tasks, Virtual Machine or Container creations).Source: ISTI Project report, SoBigData-PlusPlus, D9.2, 2023
Project(s): SoBigData-PlusPlus
See at:
ISTI Repository | CNR ExploRA
2023
Report
Open Access
SoBigData-PlusPlus D9.5 - SoBigData e-infrastructure common facilities 2
Assante M., Bardi A., Fernandez E., Lamata Martinez I., Lettere M., Manzi A., Pagano P.
Deliverable D9.5 "e-Infrastructure Common Facilities 2" is the revised version of Deliverable D9.4 "e- Infrastructure Common Facilities" intended to report the design principles and software architectures characterising the release and development of the SoBigData e-Infrastructure common facilities, namely the social mining computational engine, the online coding and workflow design frameworks, and the online science monitoring dashboard. This revised version of the document covers the first 36 months of the project, including up to date information on the progress for the existing common facilities documented in D9.4 Deliverable at M12, and information on common facilities developed between M12 and M36. Specifically, (i) the Social Mining Analytics Engine section has been enriched with a new service for performing collaborative data processing and mining on information sets (Cloud Computing Platform) and (ii) the Online Coding and Workflow section has been enriched with the report on the integration of Galaxy open-source platform for FAIR data analysis. The deliverable consists of six sections. Section 1 briefly introduces the role of this deliverable for the development and delivery of the SoBigData e-Infrastructure common facilities. Section 2 describes the SoBigData e-infrastructure logical architecture contextualising the common facilities and how they relate with the rest. Section 3, section 4 and section 5 document the first release of the e-Infrastructure common facilities included in this report and available at M36, reporting the design principles and reference architectures of the released solutions. Specifically, section 3 describes the social mining computational engine, Section 4 presents the online coding and workflow design frameworks - which includes the RStudio, the Jupyter Notebooks via JupyterHub, and Galaxy, Section 5 reports the online science monitoring dashboard. Finally, section 6 concludes the report illustrating the whole Release Management process and its components for continuous integration.Source: ISTI Project report, SoBigData-PlusPlus, D9.5, 2023
Project(s): SoBigData-PlusPlus
Assante M., Bardi A., Fernandez E., Lamata Martinez I., Lettere M., Manzi A., Pagano P.
Deliverable D9.5 "e-Infrastructure Common Facilities 2" is the revised version of Deliverable D9.4 "e- Infrastructure Common Facilities" intended to report the design principles and software architectures characterising the release and development of the SoBigData e-Infrastructure common facilities, namely the social mining computational engine, the online coding and workflow design frameworks, and the online science monitoring dashboard. This revised version of the document covers the first 36 months of the project, including up to date information on the progress for the existing common facilities documented in D9.4 Deliverable at M12, and information on common facilities developed between M12 and M36. Specifically, (i) the Social Mining Analytics Engine section has been enriched with a new service for performing collaborative data processing and mining on information sets (Cloud Computing Platform) and (ii) the Online Coding and Workflow section has been enriched with the report on the integration of Galaxy open-source platform for FAIR data analysis. The deliverable consists of six sections. Section 1 briefly introduces the role of this deliverable for the development and delivery of the SoBigData e-Infrastructure common facilities. Section 2 describes the SoBigData e-infrastructure logical architecture contextualising the common facilities and how they relate with the rest. Section 3, section 4 and section 5 document the first release of the e-Infrastructure common facilities included in this report and available at M36, reporting the design principles and reference architectures of the released solutions. Specifically, section 3 describes the social mining computational engine, Section 4 presents the online coding and workflow design frameworks - which includes the RStudio, the Jupyter Notebooks via JupyterHub, and Galaxy, Section 5 reports the online science monitoring dashboard. Finally, section 6 concludes the report illustrating the whole Release Management process and its components for continuous integration.Source: ISTI Project report, SoBigData-PlusPlus, D9.5, 2023
Project(s): SoBigData-PlusPlus
See at:
ISTI Repository | CNR ExploRA
2023
Report
Open Access
Blue-Cloud2026 D5.1 - Blue-Cloud VRE Common Services 1st Release
Assante M., Candela L., Cirillo R., Dell'Amico A., Fernandez E., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Pagano P., Panichi G., Piccioli T.
This deliverable document the design principles and software architecture characterising the release and development of the Blue-Cloud Virtual Research Environment (VRE) common services, namely the analytics computing framework, the catalogue framework, the storage framework and the enabling framework components. This report is the first of two versions, each one describing the design associated with a specific version of the VRE. This deliverable focuses on the design principles and software architecture included in the first release of ththis one as released at M12 (December 2023), while a second release is due at the end of the third year of the project and will be reported in D5.4 Blue-Cloud VRE Common Services 2nd Release (M36), due in December 2025. The deliverable consists of six sections. ? Section 1 briefly introduces the role of this deliverable in the development and delivery of the Blue-Cloud VRE common services. ? Section 2 describes the Blue-Cloud VRE logical architecture of the common services and how they relate to the other services available in the VRE. ? Section 3, 4, 5 and 6 document the first release of the Blue-Cloud VRE common services available at M12, reporting the design principles and reference software architecture of the released solutions. Specifically, Section 3 describes the analytics computing framework which includes the Analytics Engine, the RStudio and the Jupyter Notebooks via JupyterHub. Section 4 presents the VRE Catalogue framework and its components, and section 5 reports on the Storage framework. ? Finally, section 6 concludes the report by illustrating the services composing the Enabling framework, which is used as a common ground for all the above-mentioned frameworks.Source: ISTI Project Report, Blue-Cloud2026, D5.1, 2023
Assante M., Candela L., Cirillo R., Dell'Amico A., Fernandez E., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Pagano P., Panichi G., Piccioli T.
This deliverable document the design principles and software architecture characterising the release and development of the Blue-Cloud Virtual Research Environment (VRE) common services, namely the analytics computing framework, the catalogue framework, the storage framework and the enabling framework components. This report is the first of two versions, each one describing the design associated with a specific version of the VRE. This deliverable focuses on the design principles and software architecture included in the first release of ththis one as released at M12 (December 2023), while a second release is due at the end of the third year of the project and will be reported in D5.4 Blue-Cloud VRE Common Services 2nd Release (M36), due in December 2025. The deliverable consists of six sections. ? Section 1 briefly introduces the role of this deliverable in the development and delivery of the Blue-Cloud VRE common services. ? Section 2 describes the Blue-Cloud VRE logical architecture of the common services and how they relate to the other services available in the VRE. ? Section 3, 4, 5 and 6 document the first release of the Blue-Cloud VRE common services available at M12, reporting the design principles and reference software architecture of the released solutions. Specifically, Section 3 describes the analytics computing framework which includes the Analytics Engine, the RStudio and the Jupyter Notebooks via JupyterHub. Section 4 presents the VRE Catalogue framework and its components, and section 5 reports on the Storage framework. ? Finally, section 6 concludes the report by illustrating the services composing the Enabling framework, which is used as a common ground for all the above-mentioned frameworks.Source: ISTI Project Report, Blue-Cloud2026, D5.1, 2023
See at:
ISTI Repository | CNR ExploRA
2022
Journal article
Open Access
Virtual research environments co-creation: the D4Science experience
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Dell'Amico A., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Pagano P., Panichi G., Piccioli T., Sinibaldi F.
Virtual research environments are systems called to serve the needs of their designated communities of practice. Every community of practice is a group of people dynamically aggregated by the willingness to collaborate to address a given research question. The virtual research environment provides its users with seamless access to the resources of interest (namely, data and services) no matter what and where they are. Developing a virtual research environment thus to guarantee its uptake from the community of practice is a challenging task. In this article, we advocate how the co-creation driven approach promoted by D4Science has proven to be effective. In particular, we present the co-creation options supported, discuss how diverse communities of practice have exploited these options, and give some usage indicators on the created VREs.Source: Concurrency and computation (Online) (2022). doi:10.1002/cpe.6925
DOI: 10.1002/cpe.6925
Project(s): AGINFRA PLUS, Blue Cloud , EOSC-Pillar , SoBigData-PlusPlus
Metrics:
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Dell'Amico A., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Pagano P., Panichi G., Piccioli T., Sinibaldi F.
Virtual research environments are systems called to serve the needs of their designated communities of practice. Every community of practice is a group of people dynamically aggregated by the willingness to collaborate to address a given research question. The virtual research environment provides its users with seamless access to the resources of interest (namely, data and services) no matter what and where they are. Developing a virtual research environment thus to guarantee its uptake from the community of practice is a challenging task. In this article, we advocate how the co-creation driven approach promoted by D4Science has proven to be effective. In particular, we present the co-creation options supported, discuss how diverse communities of practice have exploited these options, and give some usage indicators on the created VREs.Source: Concurrency and computation (Online) (2022). doi:10.1002/cpe.6925
DOI: 10.1002/cpe.6925
Project(s): AGINFRA PLUS
, Blue Cloud , EOSC-Pillar , SoBigData-PlusPlus Metrics:
See at:
ISTI Repository | onlinelibrary.wiley.com 
| CNR ExploRA
2022
Contribution to conference
Open Access
Blue-Cloud: exploring and demonstrating the potential of Open Science for ocean sustainability
Schaap D., Assante M., Pagano P., Candela L.
The Blue-Cloud project is part of 'The Future of Seas and Oceans Flagship Initiative' of the European Commission and runs since October 2019. It has established a pilot cyber platform, providing researchers access to multidisciplinary datasets and derived data products from observations, in-situ and satellite-based, analytical services, and computing facilities essential for blue science to better understand and manage the many aspects of ocean sustainability. A number of core services have been delivered and are now in a phase of wider dissemination and uptake by marine researchers. Core services are the Federated Data Discovery & Access Service (DD&AS), the Blue-Cloud Virtual Research Environment (VRE), and five Blue-Cloud Virtual Labs.Source: MetroSEA 2022 - IEEE International Workshop on Metrology for the Sea, Milazzo, Italy, 3-5/10/2022
DOI: 10.5281/zenodo.7143580
Project(s): Blue Cloud
Metrics:
Schaap D., Assante M., Pagano P., Candela L.
The Blue-Cloud project is part of 'The Future of Seas and Oceans Flagship Initiative' of the European Commission and runs since October 2019. It has established a pilot cyber platform, providing researchers access to multidisciplinary datasets and derived data products from observations, in-situ and satellite-based, analytical services, and computing facilities essential for blue science to better understand and manage the many aspects of ocean sustainability. A number of core services have been delivered and are now in a phase of wider dissemination and uptake by marine researchers. Core services are the Federated Data Discovery & Access Service (DD&AS), the Blue-Cloud Virtual Research Environment (VRE), and five Blue-Cloud Virtual Labs.Source: MetroSEA 2022 - IEEE International Workshop on Metrology for the Sea, Milazzo, Italy, 3-5/10/2022
DOI: 10.5281/zenodo.7143580
Project(s): Blue Cloud
Metrics:
See at:
ISTI Repository | zenodo.org | CNR ExploRA
2022
Conference article
Open Access
Blue-Cloud: exploring and demonstrating the potential of Open Science for ocean sustainability
Schaap D., Assante M., Pagano P., Candela L.
The Blue-Cloud project is part of 'The Future of Seas and Oceans Flagship Initiative' of the European Commission and runs since October 2019. It has established a pilot cyber platform, providing researchers access to multidisciplinary datasets and derived data products from observations, in-situ and satellite-based, analytical services, and computing facilities essential for blue science to better understand and manage the many aspects of ocean sustainability. A number of core services have been delivered and are now in a phase of wider dissemination and uptake by marine researchers. Core services are the Federated Data Discovery & Access Service (DD&AS), the Blue-Cloud Virtual Research Environment (VRE), and five Blue-Cloud Virtual Labs.Source: MetroSEA 2022 - IEEE International Workshop on Metrology for the Sea, pp. 198–202, Milazzo, Italy, 3-5/10/2022
DOI: 10.1109/metrosea55331.2022.9950819
Project(s): Blue Cloud
Metrics:
Schaap D., Assante M., Pagano P., Candela L.
The Blue-Cloud project is part of 'The Future of Seas and Oceans Flagship Initiative' of the European Commission and runs since October 2019. It has established a pilot cyber platform, providing researchers access to multidisciplinary datasets and derived data products from observations, in-situ and satellite-based, analytical services, and computing facilities essential for blue science to better understand and manage the many aspects of ocean sustainability. A number of core services have been delivered and are now in a phase of wider dissemination and uptake by marine researchers. Core services are the Federated Data Discovery & Access Service (DD&AS), the Blue-Cloud Virtual Research Environment (VRE), and five Blue-Cloud Virtual Labs.Source: MetroSEA 2022 - IEEE International Workshop on Metrology for the Sea, pp. 198–202, Milazzo, Italy, 3-5/10/2022
DOI: 10.1109/metrosea55331.2022.9950819
Project(s): Blue Cloud
Metrics:
See at:
ISTI Repository | ieeexplore.ieee.org | CNR ExploRA
2022
Report
Open Access
InfraScience research activity report 2021
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bove P., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Ottonello E., Pagano P., Panichi G., Pavone G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual report, 2022
DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus
Metrics:
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bove P., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Ottonello E., Pagano P., Panichi G., Pavone G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual report, 2022
DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus
, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Journal article
Open Access
NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients
Borgheresi R., Barucci A., Colantonio S., Aghakhanyan G., Assante M., Bertelli E., Carlini E., Carpi R., Caudai C., Cavallero D., Cioni D., Cirillo R., Colcelli V., Dell'Amico A., Di Gangi D., Erba P. A., Faggioni L., Falaschi Z., Gabelloni M., Gini R., Lelii L., Liò P., Lorito A., Lucarini S., Manghi P., Mangiacrapa F., Marzi C., Mazzei M. A., Mercatelli L., Mirabile A., Mungai F., Miele V., Olmastroni M., Pagano P., Paiar F., Panichi G., Pascali M. A., Pasquinelli F., Shortrede J. E., Tumminello L., Volterrani L., Neri E., On Behalf Of The Navigator Consortium Group
NAVIGATOR is an Italian regional project to boost precision medicine in oncology with the aim to make it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project's goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e. standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.Source: European radiology experimental Online 6 (2022). doi:10.1186/s41747-022-00306-9
DOI: 10.1186/s41747-022-00306-9
Metrics:
Borgheresi R., Barucci A., Colantonio S., Aghakhanyan G., Assante M., Bertelli E., Carlini E., Carpi R., Caudai C., Cavallero D., Cioni D., Cirillo R., Colcelli V., Dell'Amico A., Di Gangi D., Erba P. A., Faggioni L., Falaschi Z., Gabelloni M., Gini R., Lelii L., Liò P., Lorito A., Lucarini S., Manghi P., Mangiacrapa F., Marzi C., Mazzei M. A., Mercatelli L., Mirabile A., Mungai F., Miele V., Olmastroni M., Pagano P., Paiar F., Panichi G., Pascali M. A., Pasquinelli F., Shortrede J. E., Tumminello L., Volterrani L., Neri E., On Behalf Of The Navigator Consortium Group
NAVIGATOR is an Italian regional project to boost precision medicine in oncology with the aim to make it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project's goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e. standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.Source: European radiology experimental Online 6 (2022). doi:10.1186/s41747-022-00306-9
DOI: 10.1186/s41747-022-00306-9
Metrics:
See at:
eurradiolexp.springeropen.com | ISTI Repository | CNR ExploRA
2022
Report
Open Access
Blue-Cloud D4.6 - Blue Cloud VRE Operation Report (Release 2)
M. Assante, L. Candela, P. Pagano, R. Cirillo, A. Dell'Amico, L. Frosini, L. Lelii, F. Mangiacrapa, G. Panichi, F. Sinibaldi
The Blue-Cloud project developed a cyber platform bringing together and providing access to multidisciplinary data from observations and models, analytical tools, and computing facilities essential to support research to better understand and manage the many aspects of ocean sustainability. The Blue-Cloud platform architecture consists of two major families of components: (a) the Blue Cloud Data Discovery and Access service to serve federated discovery and access to 'blue data' infrastructures, and (b) the Blue Cloud Virtual Research Environment (VRE) to provide a Blue Cloud VRE as a federation of computing platforms and analytical services. This Deliverable D4.6 "Blue Cloud VRE Operation (Release 2)" is the revised and updated version of the D4.1 "Blue Cloud VRE Operation (Release 1)" [10]. It reports on the Blue-Cloud Virtual Research Environment (VRE) by complementing the architecture and infrastructure described in [9], where the constituents have been discussed. Specifically, this deliverable focuses on how the components have been exploited and operated to support the development of the Blue-Cloud gateway https://blue-cloud.d4science.org, its underlying infrastructure, and the VLabs. 9 Blue-Cloud VLabs were created and operated in the first period, while an additional 5 Blue-Cloud VLabs were created and operated in the second reporting period, from M17 (February 2021) to M35 (September 2022), bringing the total on 14 operational VLabs. Two VLabs of the second reporting period are specifically conceived to support the developments of the Blue-Cloud Demonstrators: (i) The Plankton Genomics VLab has been developed in the context of the Demonstrator #2, and (ii) The Marine Environmental Indicators Dev VLab has been developed in the context of the Demonstrator #3 - Marine Environmental Indicators. In order to support the Blue-Cloud Hackathon1 event held in February 2022 the (iii) Blue-Cloud Hackathon VLab has been developed. Finally, in the framework of the Blue-Cloud synergies programme two additional VLabs were developed as pilots to support the work of (iv) the JERICO-CORE multi-platform research infrastructure dedicated to a holistic appraisal of coastal marine system changes, and (v) the JONAS initiative, addressing the issue of underwater noise in the Atlantic Seas. These working environments are serving more than 1,300 users in total spread across more than 20 countries. Up to mid of September 2022, a total of more than 25,700 working sessions have been executed, with an average of 1,286 working sessions per month since the start of the Blue-Cloud project in October 2019. A total of more than 2,230 analytics sessions have been executed by the users of the VLabs, with an average of 55 working sessions per month. From M17 (February 2021) to M35 (September 2022), a total of 212 tickets have been created and managed in the Blue-Cloud Project Issue Trackers (85% have been closed). Moreover, 34 tickets related to Blue-Cloud have been created in the D4Science overall context (88% have been closed).Source: ISTI Project report, Blue-Cloud, D4.6, 2022
Project(s): Blue Cloud
M. Assante, L. Candela, P. Pagano, R. Cirillo, A. Dell'Amico, L. Frosini, L. Lelii, F. Mangiacrapa, G. Panichi, F. Sinibaldi
The Blue-Cloud project developed a cyber platform bringing together and providing access to multidisciplinary data from observations and models, analytical tools, and computing facilities essential to support research to better understand and manage the many aspects of ocean sustainability. The Blue-Cloud platform architecture consists of two major families of components: (a) the Blue Cloud Data Discovery and Access service to serve federated discovery and access to 'blue data' infrastructures, and (b) the Blue Cloud Virtual Research Environment (VRE) to provide a Blue Cloud VRE as a federation of computing platforms and analytical services. This Deliverable D4.6 "Blue Cloud VRE Operation (Release 2)" is the revised and updated version of the D4.1 "Blue Cloud VRE Operation (Release 1)" [10]. It reports on the Blue-Cloud Virtual Research Environment (VRE) by complementing the architecture and infrastructure described in [9], where the constituents have been discussed. Specifically, this deliverable focuses on how the components have been exploited and operated to support the development of the Blue-Cloud gateway https://blue-cloud.d4science.org, its underlying infrastructure, and the VLabs. 9 Blue-Cloud VLabs were created and operated in the first period, while an additional 5 Blue-Cloud VLabs were created and operated in the second reporting period, from M17 (February 2021) to M35 (September 2022), bringing the total on 14 operational VLabs. Two VLabs of the second reporting period are specifically conceived to support the developments of the Blue-Cloud Demonstrators: (i) The Plankton Genomics VLab has been developed in the context of the Demonstrator #2, and (ii) The Marine Environmental Indicators Dev VLab has been developed in the context of the Demonstrator #3 - Marine Environmental Indicators. In order to support the Blue-Cloud Hackathon1 event held in February 2022 the (iii) Blue-Cloud Hackathon VLab has been developed. Finally, in the framework of the Blue-Cloud synergies programme two additional VLabs were developed as pilots to support the work of (iv) the JERICO-CORE multi-platform research infrastructure dedicated to a holistic appraisal of coastal marine system changes, and (v) the JONAS initiative, addressing the issue of underwater noise in the Atlantic Seas. These working environments are serving more than 1,300 users in total spread across more than 20 countries. Up to mid of September 2022, a total of more than 25,700 working sessions have been executed, with an average of 1,286 working sessions per month since the start of the Blue-Cloud project in October 2019. A total of more than 2,230 analytics sessions have been executed by the users of the VLabs, with an average of 55 working sessions per month. From M17 (February 2021) to M35 (September 2022), a total of 212 tickets have been created and managed in the Blue-Cloud Project Issue Trackers (85% have been closed). Moreover, 34 tickets related to Blue-Cloud have been created in the D4Science overall context (88% have been closed).Source: ISTI Project report, Blue-Cloud, D4.6, 2022
Project(s): Blue Cloud
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
Blue-Cloud D2.8 - Blue-Cloud Architecture (Release 3)
Schaap D. M. A., Thijsse P., Pagano P., Assante M., Candela L., Boldrini E., Buurman M., D'Antonio M., Ariyo C., Maudire G., Nys C., Chiavarini B., Lettere M.
This deliverable D2.8 describes third and final release of the Blue-Cloud architecture as it is at Month 33 (June 2022) and it is and an update of the earlier 2nd release of the Blue-Cloud architecture document D2.7. Given the agreed extension allowed to the Blue-Cloud project until March 2023, there might be some further refinements to the architecture in the upcoming 9 months to allow to optimise some of its services to better respond to user needs. In order to make it easier for readers and reviewers, a table is included as part of Chapter 1, which indicates the elements and sections of this Deliverable 2.8, which have been updated or added in comparison with the earlier Deliverable 2.7. In this report, the current architecture and functionalities of each of the following components, part of the Blue-Cloud technical framework, are described in detail as well as the roles of partners that are developing and hosting modules: 1) the Blue-Cloud Data Discovery and Access service to serve federated discovery and access to blue data infrastructures; 2) the Blue-Cloud Virtual Research Environment (VRE) to provide a Blue-Cloud VRE as a federation of computing platforms and analytical services. The Blue-Cloud Data Discovery and Access service architecture is based upon a combination of the DAB metadata broker service of CNR-IIA, and the SeaDataNet CDI service modules as developed by MARIS, IFREMER, and EUDAT in the framework of the EU SeaDataCloud project. For the Blue-Cloud Data Discovery and Access service and its modules, additional developments were implemented in the period May 2021 - June 2022 such as adapting and upgrading existing services, adding new services, testing modules, integrating modules, and testing the integrated service, in order to achieve the planned functionality. The Blue-Cloud VRE is largely based upon the D4Science e-infrastructure as earlier developed and managed by CNR-ISTI [1]. This e-infrastructure hosted, already from the start, multiple Virtual Labs and offered a variety of services. These services have been adopted and adapted for Blue-Cloud, new services have been added and several original services have been upgraded. Moreover, new Virtual Labs have been constructed and deployed as part of the Blue-Cloud Demonstrators. The D4Science e- infrastructure also already included proven solutions for connecting to external computing platforms and means for orchestrating distributed services, which are instrumental for smart connections to the other e-infrastructures in the Blue-Cloud system, while further evolutions have taken place as part of the Blue-Cloud project, in response to the needs of the Virtual Labs and their users. With respect to the Virtual Labs, they are developed as real-life demonstrators embedded in the D4Science VRE and supported by data input from the Blue-Cloud Data Discovery and Access service, other data resources and additional computing services. They have been worked out in cooperation between WP3 and WP4 which have analysed their scientific workflows and identified the best technical set-up considering the D4Science VRE infrastructure and services. As part of their development, the demonstrators required upgrading of existing functionality and development of additional services. This is described, where relevant, in this document. In addition, consideration is given to integration aspects, such as two-way linking between the Blue- Cloud components, expanding the VRE with additional platforms for computing and algorithms, and direct access to data infrastructures where needed for specific Virtual Labs. Moreover, aspects of authentication and monitoring are considered on a full Blue-Cloud scale. The Blue-Cloud architecture as described in this report, is designed to be scalable and sustainable for near-future expansions, such as connecting additional blue data infrastructures, implementing more and advanced blue analytical services, configuring more dedicated Virtual Labs, and targeting more (groups of) users.Source: ISTI Project report, Blue-Cloud, D2.8, 2022
Project(s): Blue Cloud
Schaap D. M. A., Thijsse P., Pagano P., Assante M., Candela L., Boldrini E., Buurman M., D'Antonio M., Ariyo C., Maudire G., Nys C., Chiavarini B., Lettere M.
This deliverable D2.8 describes third and final release of the Blue-Cloud architecture as it is at Month 33 (June 2022) and it is and an update of the earlier 2nd release of the Blue-Cloud architecture document D2.7. Given the agreed extension allowed to the Blue-Cloud project until March 2023, there might be some further refinements to the architecture in the upcoming 9 months to allow to optimise some of its services to better respond to user needs. In order to make it easier for readers and reviewers, a table is included as part of Chapter 1, which indicates the elements and sections of this Deliverable 2.8, which have been updated or added in comparison with the earlier Deliverable 2.7. In this report, the current architecture and functionalities of each of the following components, part of the Blue-Cloud technical framework, are described in detail as well as the roles of partners that are developing and hosting modules: 1) the Blue-Cloud Data Discovery and Access service to serve federated discovery and access to blue data infrastructures; 2) the Blue-Cloud Virtual Research Environment (VRE) to provide a Blue-Cloud VRE as a federation of computing platforms and analytical services. The Blue-Cloud Data Discovery and Access service architecture is based upon a combination of the DAB metadata broker service of CNR-IIA, and the SeaDataNet CDI service modules as developed by MARIS, IFREMER, and EUDAT in the framework of the EU SeaDataCloud project. For the Blue-Cloud Data Discovery and Access service and its modules, additional developments were implemented in the period May 2021 - June 2022 such as adapting and upgrading existing services, adding new services, testing modules, integrating modules, and testing the integrated service, in order to achieve the planned functionality. The Blue-Cloud VRE is largely based upon the D4Science e-infrastructure as earlier developed and managed by CNR-ISTI [1]. This e-infrastructure hosted, already from the start, multiple Virtual Labs and offered a variety of services. These services have been adopted and adapted for Blue-Cloud, new services have been added and several original services have been upgraded. Moreover, new Virtual Labs have been constructed and deployed as part of the Blue-Cloud Demonstrators. The D4Science e- infrastructure also already included proven solutions for connecting to external computing platforms and means for orchestrating distributed services, which are instrumental for smart connections to the other e-infrastructures in the Blue-Cloud system, while further evolutions have taken place as part of the Blue-Cloud project, in response to the needs of the Virtual Labs and their users. With respect to the Virtual Labs, they are developed as real-life demonstrators embedded in the D4Science VRE and supported by data input from the Blue-Cloud Data Discovery and Access service, other data resources and additional computing services. They have been worked out in cooperation between WP3 and WP4 which have analysed their scientific workflows and identified the best technical set-up considering the D4Science VRE infrastructure and services. As part of their development, the demonstrators required upgrading of existing functionality and development of additional services. This is described, where relevant, in this document. In addition, consideration is given to integration aspects, such as two-way linking between the Blue- Cloud components, expanding the VRE with additional platforms for computing and algorithms, and direct access to data infrastructures where needed for specific Virtual Labs. Moreover, aspects of authentication and monitoring are considered on a full Blue-Cloud scale. The Blue-Cloud architecture as described in this report, is designed to be scalable and sustainable for near-future expansions, such as connecting additional blue data infrastructures, implementing more and advanced blue analytical services, configuring more dedicated Virtual Labs, and targeting more (groups of) users.Source: ISTI Project report, Blue-Cloud, D2.8, 2022
Project(s): Blue Cloud
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
ARIADNEplus D15.2 - Final report on ARIADNEplus services
Marberg J. F., Bardi A., Vlachidis A., Meghini C., Binding C., Tudhope D., Sinibaldi F., Ponchio F., Mangiacrapa F., Radman-Livaja I., Callieri M., Potenziani M., Lamé M., Assante M., Pagano P., Hermon S., Vassallo V.
This deliverable describes the activities carried out within Work Package 15 (WP15) of the ARIADNEplus project by the different partners and describes the results achieved. The work package consists of several individual tasks and subtasks with the overall goal to develop and provide useful services to archaeologists. This means the work package is by nature heterogeneous with stand-alone tasks and services. Efforts have been made to facilitate collaboration between the individual tasks through joint work package meetings. This has resulted in new cross-task contacts being made, and some sharing of expertise to improve services has been done. A service design template aligning the ARIADNEplus services with the requirements from European Open Science Cloud (EOSC) has been created. In connection with this, the ARIADNEplus AO-CAT ontology has been adapted to the requirements from EOSC Resource Data Model (Task 15.1). The Visual Media Service (Task 15.2.1) has had a new format added, allowing for 2D visualisation of LIDAR data in DEM format. In addition, three other standards have been added: gITF, ThreeJS and IIIF, supporting various functionality in the service. The service has also been adapted to support integration with the ARIADNEplus infrastructure in D4Science. A visual wizard has been defined to guide Visual Media Service users to add hotspots to a 3D scene easily and quickly. This extension, initially implemented in 3DHOP will allow archaeologists to create interactive links from the digital 3D model to the related documentation without writing any source code (Task 15.2.2). Task 15.2.3 reworked the Online 3D Database System for Endangered architectural and archaeological Heritage in the south Eastern MEditerRAnea area (EpHEMERA). EpHEMERA is a service provided by the Cyprus Institute to visualize in 3D archaeological excavations, ancient buildings, and their related documentation. In EpHEMERA, it is possible to visualise, online and through standard web browsers, 3D architectural and archaeological models (classified according to a specific type of risk), query the database system and retrieve metadata attached to each digital object, and extract geometric and morphological information about the Cultural Heritage asset. The visualisation and annotation tool of the TSS project have been ported to the OpenLime library and integrated into the Visual Media Service (Task 15.2.1). An additional layer of SVG annotations have been developed and added to the service. The Annotation service have been used and improved in three different pilot projects. (Task 15.3.2) Various strands of work have been done improving services for text mining and Natural Language Processing (Task 15.4). One of these efforts has been building upon the outcomes of the preceding ARIADNE project. A set of archaeological Named Entity Recognition NLP pipelines were reconfigured and deployed for easier use on the General Architecture for Text Engineering (GATE) cloud. Another effort has been on extracting temporal archaeological information using two different parallel approaches, normalisation and named entity recognition. A Python development platform has been used to unify the various services. A Vocabulary Annotation Tool (Task 15.3.1) was developed using the same platform, as part of Task 15.4. The tool facilitates the locating and tagging of vocabulary terms within free text and outputs suggested subject annotations in a range of formats. The GeoPortal service (Task 15.5) is a new REST service designed to manage complex spatio-temporal documents defined by metadata profiles. It was released as a component of the gCube framework. A prototype using the service was deployed and operated to manage archaeological excavation projects (Task 15.7). Two services for querying the RDF AO-Cat metadata records aggregated by the ARIADNEplus Infrastructure was established (Task 15.6): a full-text index service and a SPARQL endpoint. The full- text index service is based on OpenSearch and supports the needed query functionality of the ARIADNEplus portal. The SPARQL endpoint allows performance of semantic queries on the RDF records within the ARIADNEplus data and knowledge cloud.Source: ISTI Project report, ARIADNEplus, D15.2, 2022
Project(s): ARIADNEplus
Marberg J. F., Bardi A., Vlachidis A., Meghini C., Binding C., Tudhope D., Sinibaldi F., Ponchio F., Mangiacrapa F., Radman-Livaja I., Callieri M., Potenziani M., Lamé M., Assante M., Pagano P., Hermon S., Vassallo V.
This deliverable describes the activities carried out within Work Package 15 (WP15) of the ARIADNEplus project by the different partners and describes the results achieved. The work package consists of several individual tasks and subtasks with the overall goal to develop and provide useful services to archaeologists. This means the work package is by nature heterogeneous with stand-alone tasks and services. Efforts have been made to facilitate collaboration between the individual tasks through joint work package meetings. This has resulted in new cross-task contacts being made, and some sharing of expertise to improve services has been done. A service design template aligning the ARIADNEplus services with the requirements from European Open Science Cloud (EOSC) has been created. In connection with this, the ARIADNEplus AO-CAT ontology has been adapted to the requirements from EOSC Resource Data Model (Task 15.1). The Visual Media Service (Task 15.2.1) has had a new format added, allowing for 2D visualisation of LIDAR data in DEM format. In addition, three other standards have been added: gITF, ThreeJS and IIIF, supporting various functionality in the service. The service has also been adapted to support integration with the ARIADNEplus infrastructure in D4Science. A visual wizard has been defined to guide Visual Media Service users to add hotspots to a 3D scene easily and quickly. This extension, initially implemented in 3DHOP will allow archaeologists to create interactive links from the digital 3D model to the related documentation without writing any source code (Task 15.2.2). Task 15.2.3 reworked the Online 3D Database System for Endangered architectural and archaeological Heritage in the south Eastern MEditerRAnea area (EpHEMERA). EpHEMERA is a service provided by the Cyprus Institute to visualize in 3D archaeological excavations, ancient buildings, and their related documentation. In EpHEMERA, it is possible to visualise, online and through standard web browsers, 3D architectural and archaeological models (classified according to a specific type of risk), query the database system and retrieve metadata attached to each digital object, and extract geometric and morphological information about the Cultural Heritage asset. The visualisation and annotation tool of the TSS project have been ported to the OpenLime library and integrated into the Visual Media Service (Task 15.2.1). An additional layer of SVG annotations have been developed and added to the service. The Annotation service have been used and improved in three different pilot projects. (Task 15.3.2) Various strands of work have been done improving services for text mining and Natural Language Processing (Task 15.4). One of these efforts has been building upon the outcomes of the preceding ARIADNE project. A set of archaeological Named Entity Recognition NLP pipelines were reconfigured and deployed for easier use on the General Architecture for Text Engineering (GATE) cloud. Another effort has been on extracting temporal archaeological information using two different parallel approaches, normalisation and named entity recognition. A Python development platform has been used to unify the various services. A Vocabulary Annotation Tool (Task 15.3.1) was developed using the same platform, as part of Task 15.4. The tool facilitates the locating and tagging of vocabulary terms within free text and outputs suggested subject annotations in a range of formats. The GeoPortal service (Task 15.5) is a new REST service designed to manage complex spatio-temporal documents defined by metadata profiles. It was released as a component of the gCube framework. A prototype using the service was deployed and operated to manage archaeological excavation projects (Task 15.7). Two services for querying the RDF AO-Cat metadata records aggregated by the ARIADNEplus Infrastructure was established (Task 15.6): a full-text index service and a SPARQL endpoint. The full- text index service is based on OpenSearch and supports the needed query functionality of the ARIADNEplus portal. The SPARQL endpoint allows performance of semantic queries on the RDF records within the ARIADNEplus data and knowledge cloud.Source: ISTI Project report, ARIADNEplus, D15.2, 2022
Project(s): ARIADNEplus
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
ARIADNEplus D13.4 - VREs Operation Final Activity Report
Assante M., Cirillo R., Dell'Amico A., Pagano P., Candela L., Frosini L., Lelii L., Mangiacrapa F., Panichi G., Piccioli T., Sinibaldi F.
Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products developed and delivered by the ARIADNEplus project to support the target communities and application scenarios in archaeology. The development of VREs is based on three main activities: (i) the development of software artifacts that realise a set of functions (including those needed for accessing certain datasets), (ii) the deployment of these artifacts in an operational infrastructure following the release procedures and tools presented in the deliverable D13.1 "Software Release Procedures and Tools JRA2", and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1]. This deliverable D13.4 - "VREs Operation Final Activity Report'' is the updated version of D13.2 - "VREs Operation Mid-term Activity Report ''. D13.4 documents the last of the above- mentioned three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the second period, from January 2021 to November 2022 - of the ARIADNEplus project. Specifically, it focuses on how the components have been exploited and operated to support the development of the ARIADNEplus VRE gateway https://ariadne.d4science.org, its underlying infrastructure, and the VREs from M25 (January 2021) to M47 (November 2022). These activities have been carried out within Work Package 13. Specifically in Task 13.1 Infrastructure Operation (JRA2.1) and Task 13.3 VREs Operation (JRA2.3). In addition to the 5 VREs created and operated in the first period, 3 more VREs were created and operated in the second reporting period, for a total of 8 VREs. One VRE of the second reporting period, namely ARIADNEplus Lab (cf. Section 4.6), was created in July 2021 as the virtual laboratory to support developers, researchers, data managers, and data analysts belonging to the archaeological community worldwide. The "Geoportale Nazionale per l'Archeologia (GNA)" VRE (cf. Section 4.7) was created in January 2022, as the evolution of the existing Geoportal Prototype VRE (cf. Section 4.4), which was developed for the integration, validation, harmonization, visualization, and access of archaeological georeferenced datasets collected in Italy. Finally, the Esquiline VRE (cf. Section 4.8) was created in October 2022 for the integration and display of data originating from 19th century excavations and historical cartography in a spatio-temporal database, allowing the reconstruction of the transformation of an urban landscape through the centuries. As of November 2022, the VREs are serving the needs of more than 400 users in total spread across 21 countries and more than 10.000 user sessions. This required to deal with approximately 100 tickets (59 requests for support, 9 requests for incidents and bugs, 9 requests for Virtual Machine or Container creations).Source: ISTI Project report, ARIADNEplus, D13.4, 2022
Project(s): ARIADNEplus
Assante M., Cirillo R., Dell'Amico A., Pagano P., Candela L., Frosini L., Lelii L., Mangiacrapa F., Panichi G., Piccioli T., Sinibaldi F.
Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products developed and delivered by the ARIADNEplus project to support the target communities and application scenarios in archaeology. The development of VREs is based on three main activities: (i) the development of software artifacts that realise a set of functions (including those needed for accessing certain datasets), (ii) the deployment of these artifacts in an operational infrastructure following the release procedures and tools presented in the deliverable D13.1 "Software Release Procedures and Tools JRA2", and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1]. This deliverable D13.4 - "VREs Operation Final Activity Report'' is the updated version of D13.2 - "VREs Operation Mid-term Activity Report ''. D13.4 documents the last of the above- mentioned three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the second period, from January 2021 to November 2022 - of the ARIADNEplus project. Specifically, it focuses on how the components have been exploited and operated to support the development of the ARIADNEplus VRE gateway https://ariadne.d4science.org, its underlying infrastructure, and the VREs from M25 (January 2021) to M47 (November 2022). These activities have been carried out within Work Package 13. Specifically in Task 13.1 Infrastructure Operation (JRA2.1) and Task 13.3 VREs Operation (JRA2.3). In addition to the 5 VREs created and operated in the first period, 3 more VREs were created and operated in the second reporting period, for a total of 8 VREs. One VRE of the second reporting period, namely ARIADNEplus Lab (cf. Section 4.6), was created in July 2021 as the virtual laboratory to support developers, researchers, data managers, and data analysts belonging to the archaeological community worldwide. The "Geoportale Nazionale per l'Archeologia (GNA)" VRE (cf. Section 4.7) was created in January 2022, as the evolution of the existing Geoportal Prototype VRE (cf. Section 4.4), which was developed for the integration, validation, harmonization, visualization, and access of archaeological georeferenced datasets collected in Italy. Finally, the Esquiline VRE (cf. Section 4.8) was created in October 2022 for the integration and display of data originating from 19th century excavations and historical cartography in a spatio-temporal database, allowing the reconstruction of the transformation of an urban landscape through the centuries. As of November 2022, the VREs are serving the needs of more than 400 users in total spread across 21 countries and more than 10.000 user sessions. This required to deal with approximately 100 tickets (59 requests for support, 9 requests for incidents and bugs, 9 requests for Virtual Machine or Container creations).Source: ISTI Project report, ARIADNEplus, D13.4, 2022
Project(s): ARIADNEplus
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
ARIADNEplus D13.3 - Software release final activity report
Assante M., Cirillo R., Frosini L., Millet P., Pagano P., Candela L., Dell'Amico A., Lelii L., Mangiacrapa F., Panichi G.
This deliverable D13.3 - "Software Release Final Activity Report - JRA2" documents the software packages produced by the project to implement the functionalities of the ARIADNEplus infrastructure, accessible from https://ariadne.d4science.org. These open- source software releases followed the procedures described in D13.1 Software Release Procedures and Tools - JRA2 governing the release of software, methods, and tools for the ARIADNEplus infrastructure. D13.3 reports on (i) the ARIADNE VRE software releases, where a total of 29 different release cycles were performed during the project period. Each release contained EUPL licensed software, whose source is accessible on the Code Versioning System (CVS) platform publicly available online at https://code-repo.d4science.org/gCubeCI/gCubeReleases, and reports on (ii) the ARIADNE Portal software releases whose source is accessible on the Code Versioning System (CVS) platform publicly available online https://github.com/ARIADNE- Infrastructure/portal. These activities have been carried out in the context of Task 13.4 Software integration and release (JRA2.4) as part of Work Package 13 (WP13). This task managed the process of software maintenance, enhancement, and provisioning in JRA work packages. Thus, it i) defines the release and provisioning procedures; ii) establishes the release plan; iii) coordinates the release process; iv) operates the tools required to support the release and provisioning activities; v) validates the software documentation; vi) takes care of the distribution of the software and its provisioning. This task benefits from the practices established and experience gained within the D4Science infrastructure.Source: ISTI Project report, ARIADNEplus, D13.3, 2022
Project(s): ARIADNEplus
Assante M., Cirillo R., Frosini L., Millet P., Pagano P., Candela L., Dell'Amico A., Lelii L., Mangiacrapa F., Panichi G.
This deliverable D13.3 - "Software Release Final Activity Report - JRA2" documents the software packages produced by the project to implement the functionalities of the ARIADNEplus infrastructure, accessible from https://ariadne.d4science.org. These open- source software releases followed the procedures described in D13.1 Software Release Procedures and Tools - JRA2 governing the release of software, methods, and tools for the ARIADNEplus infrastructure. D13.3 reports on (i) the ARIADNE VRE software releases, where a total of 29 different release cycles were performed during the project period. Each release contained EUPL licensed software, whose source is accessible on the Code Versioning System (CVS) platform publicly available online at https://code-repo.d4science.org/gCubeCI/gCubeReleases, and reports on (ii) the ARIADNE Portal software releases whose source is accessible on the Code Versioning System (CVS) platform publicly available online https://github.com/ARIADNE- Infrastructure/portal. These activities have been carried out in the context of Task 13.4 Software integration and release (JRA2.4) as part of Work Package 13 (WP13). This task managed the process of software maintenance, enhancement, and provisioning in JRA work packages. Thus, it i) defines the release and provisioning procedures; ii) establishes the release plan; iii) coordinates the release process; iv) operates the tools required to support the release and provisioning activities; v) validates the software documentation; vi) takes care of the distribution of the software and its provisioning. This task benefits from the practices established and experience gained within the D4Science infrastructure.Source: ISTI Project report, ARIADNEplus, D13.3, 2022
Project(s): ARIADNEplus
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
MOVING D1.4 - DECO Activity Report
Casares B., Garrido L., García M., Vilcu R., Assante M.
The deliverable D1.4 DECO Activity Report is conceived as a self-assessment exercise that has the ultimate purpose of identifying improvements in the activities and tasks, making them the most appropriate to the needs of the project, based on the experiences of the activities implemented so far. Focused on the development of the dissemination, exploitation, communication and outreach (DECO) strategy (hereinafter the "Strategy") (D1.1), the D1.4 has two specific objectives: o Analyse the performance of communication, dissemination and exploitation activities implemented by the project in years 1 and 2 towards achieving MOVING's objectives. o Draw lessons, identify areas of improvements, and design actions and follow-up steps to be taken by the project so as to improve the communication, dissemination and exploitation activities. D1.4 may lead to an Activity Report of the Strategy by assessing and reporting on all different channels, activities and products to maximise MOVING's impact. This deliverable has been produced using a combination of quantitative and qualitative methods project's partners, especially the Communication Task Force, was performed A total of 23 responses from 21 partners have been received. The survey results have been used to collect information to better understand: a) how partners are using the communication channels and products of the project; b) in which areas they would need further support; c) what challenges they find to communicate about the project; etc. To complement both the quantitative analysis and the survey, a workshop was held to provide a space for the MOVING Communication Task Force to discuss and collect ideas on how to improve communication and dissemination performance and impact. The main results of the workshop have been used to produce the content in sections 4.5.3 Key Exploitable Results (KER), 4.6 Lessons learned and recommendations and 4.7 Review of the contingency plan within the DECO Strategy. Section 4 of the deliverable on main communication activities and results, includes an overview of the status of the Key Performance Indicators (KPIs) outlined in the DECO Strategy. For some of them, a new and more ambitious target in M48 has been set, given the good progress achieved so far of the initial targets. Further in section 4, the deliverable analyses MOVING's communication channels, in particular the website, the Virtual Research Environment, the MOVING Community of Practice, the different social media accounts and the newsletter. Regarding MOVING's communication products, the following have been evaluated: the visual identity of the project, news and blogs, policy briefs, videos and other products (press releases, infographics, brochures, etc.). External channels for outreach have also been monitored. In particular, the focus has been on: (i) partners' communication and dissemination activities; (ii) link to other networks and projects; (iii) participation in third-party events; (iv) relation with press and media; and (v) publications and scientific journals. The deliverable has considered the communication training and guideline provided so far and how partners value them, and has identified further training needs of the partners to improve their participation in dissemination, exploitation, communication and outreach activities. In section 4.5, the Exploitation Plan is developed as follows: introduction to this plan, objectives and Key Exploitable Results (KERs). It includes a table linking KER with lead partner from each work package (owner of KER); the description of the KER (including type of result) and the exploitation route(s) or potential use (commercial/industrial, academic, societal, policy). Section 4.6 presents the lessons learned and recommendations drawn throughout the process of elaboration of this deliverable. Finally, section 4.7 reviews the contingency plan within the DECO Strategy. The deliverable includes three annexes: (i) detailed analysis of the survey results; (ii) categories used to classify MOVING's social media posts; and (iii) resources on communication evaluation used to inform this deliverable.Source: ISTI Project report, MOVING, D1.4, 2022
Project(s): MOVING
Casares B., Garrido L., García M., Vilcu R., Assante M.
The deliverable D1.4 DECO Activity Report is conceived as a self-assessment exercise that has the ultimate purpose of identifying improvements in the activities and tasks, making them the most appropriate to the needs of the project, based on the experiences of the activities implemented so far. Focused on the development of the dissemination, exploitation, communication and outreach (DECO) strategy (hereinafter the "Strategy") (D1.1), the D1.4 has two specific objectives: o Analyse the performance of communication, dissemination and exploitation activities implemented by the project in years 1 and 2 towards achieving MOVING's objectives. o Draw lessons, identify areas of improvements, and design actions and follow-up steps to be taken by the project so as to improve the communication, dissemination and exploitation activities. D1.4 may lead to an Activity Report of the Strategy by assessing and reporting on all different channels, activities and products to maximise MOVING's impact. This deliverable has been produced using a combination of quantitative and qualitative methods project's partners, especially the Communication Task Force, was performed A total of 23 responses from 21 partners have been received. The survey results have been used to collect information to better understand: a) how partners are using the communication channels and products of the project; b) in which areas they would need further support; c) what challenges they find to communicate about the project; etc. To complement both the quantitative analysis and the survey, a workshop was held to provide a space for the MOVING Communication Task Force to discuss and collect ideas on how to improve communication and dissemination performance and impact. The main results of the workshop have been used to produce the content in sections 4.5.3 Key Exploitable Results (KER), 4.6 Lessons learned and recommendations and 4.7 Review of the contingency plan within the DECO Strategy. Section 4 of the deliverable on main communication activities and results, includes an overview of the status of the Key Performance Indicators (KPIs) outlined in the DECO Strategy. For some of them, a new and more ambitious target in M48 has been set, given the good progress achieved so far of the initial targets. Further in section 4, the deliverable analyses MOVING's communication channels, in particular the website, the Virtual Research Environment, the MOVING Community of Practice, the different social media accounts and the newsletter. Regarding MOVING's communication products, the following have been evaluated: the visual identity of the project, news and blogs, policy briefs, videos and other products (press releases, infographics, brochures, etc.). External channels for outreach have also been monitored. In particular, the focus has been on: (i) partners' communication and dissemination activities; (ii) link to other networks and projects; (iii) participation in third-party events; (iv) relation with press and media; and (v) publications and scientific journals. The deliverable has considered the communication training and guideline provided so far and how partners value them, and has identified further training needs of the partners to improve their participation in dissemination, exploitation, communication and outreach activities. In section 4.5, the Exploitation Plan is developed as follows: introduction to this plan, objectives and Key Exploitable Results (KERs). It includes a table linking KER with lead partner from each work package (owner of KER); the description of the KER (including type of result) and the exploitation route(s) or potential use (commercial/industrial, academic, societal, policy). Section 4.6 presents the lessons learned and recommendations drawn throughout the process of elaboration of this deliverable. Finally, section 4.7 reviews the contingency plan within the DECO Strategy. The deliverable includes three annexes: (i) detailed analysis of the survey results; (ii) categories used to classify MOVING's social media posts; and (iii) resources on communication evaluation used to inform this deliverable.Source: ISTI Project report, MOVING, D1.4, 2022
Project(s): MOVING
See at:
ISTI Repository | CNR ExploRA