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2024
Conference article
Open Access
D4Science: advancing ocean science through collaborative data analysis
Assante M., Candela L., Frosini L., Mangiacrapa F., Molinaro E., Pagano P.
In the realm of ocean science, addressing intricate challenges necessitates collaborative analysis of extensive datasets. This underscores the significance of infrastructures that facilitate multidisciplinary collaboration, effective communication, and timely data sharing. D4Science [Assante et al., 2019], an operational infrastructure initiated 18 years ago with European Commission funding, has evolved into an efficient solution. Utilizing the “as a Service” paradigm, D4Science provides webaccessible Virtual Laboratories [Assante et al., 2023; Candela et al., 2023] (VLabs) that proved to be also suitable for ocean science collaboration [Schaap et al., 2022]. These VLabs simplify access to marine datasets, concealing underlying complexities. Key functionalities include a cloudbased Workspace for file organization, a platform for largescale data analysis on a distributed computing infrastructure, a catalog for publishing research results, and a communication system based on social network practices. D4Science has been actively supporting diverse marine and ocean science Virtual Laboratories (VLabs), adapting to evolving research needs. Notable initiatives include contributions to the European Open Science Cloud (EOSC), starting with the ‘BlueCloud’ project in 2020 and its subsequent extension, ‘BlueCloud2026.’ In 2015, D4Science played a pivotal role in the BlueBRIDGE Horizon 2020 Project, which aimed to provide userfriendly data services and tools for the aquaculture, fisheries, and environmental sectors. Additionally, in 2013, D4Science contributed to the iMarine FP7 Project, which has since evolved into the current iMarine initiative. This ongoing effort is dedicated to establishing and operating an einfrastructure that aligns with the principles of the ecosystem approach to fisheries management and the conservation of marine living resources, further supporting the Food and Agriculture Organization’s (FAO) Blue Growth Initiative. D4Science is currently supporting over 20 scientific communities and over 150 VLabs, and pioneers Open Science in ocean research. It fosters collaboration, offers userfriendly environments, and provides service for accessing, sharing, analyzing, and publishing oceanographic data. A detailed description of these services is given in the followingSource: MISCELLANEA INGV, pp. 284-286. Bergen (Norway), 27-29/05/2024
DOI: 10.13127/misc/80/109
Project(s): Blue-Cloud 2026
Metrics:
Assante M., Candela L., Frosini L., Mangiacrapa F., Molinaro E., Pagano P.
In the realm of ocean science, addressing intricate challenges necessitates collaborative analysis of extensive datasets. This underscores the significance of infrastructures that facilitate multidisciplinary collaboration, effective communication, and timely data sharing. D4Science [Assante et al., 2019], an operational infrastructure initiated 18 years ago with European Commission funding, has evolved into an efficient solution. Utilizing the “as a Service” paradigm, D4Science provides webaccessible Virtual Laboratories [Assante et al., 2023; Candela et al., 2023] (VLabs) that proved to be also suitable for ocean science collaboration [Schaap et al., 2022]. These VLabs simplify access to marine datasets, concealing underlying complexities. Key functionalities include a cloudbased Workspace for file organization, a platform for largescale data analysis on a distributed computing infrastructure, a catalog for publishing research results, and a communication system based on social network practices. D4Science has been actively supporting diverse marine and ocean science Virtual Laboratories (VLabs), adapting to evolving research needs. Notable initiatives include contributions to the European Open Science Cloud (EOSC), starting with the ‘BlueCloud’ project in 2020 and its subsequent extension, ‘BlueCloud2026.’ In 2015, D4Science played a pivotal role in the BlueBRIDGE Horizon 2020 Project, which aimed to provide userfriendly data services and tools for the aquaculture, fisheries, and environmental sectors. Additionally, in 2013, D4Science contributed to the iMarine FP7 Project, which has since evolved into the current iMarine initiative. This ongoing effort is dedicated to establishing and operating an einfrastructure that aligns with the principles of the ecosystem approach to fisheries management and the conservation of marine living resources, further supporting the Food and Agriculture Organization’s (FAO) Blue Growth Initiative. D4Science is currently supporting over 20 scientific communities and over 150 VLabs, and pioneers Open Science in ocean research. It fosters collaboration, offers userfriendly environments, and provides service for accessing, sharing, analyzing, and publishing oceanographic data. A detailed description of these services is given in the followingSource: MISCELLANEA INGV, pp. 284-286. Bergen (Norway), 27-29/05/2024
DOI: 10.13127/misc/80/109
Project(s): Blue-Cloud 2026
Metrics:
See at:
CNR IRIS 
| imdis.seadatanet.org | doi.org 
| IRIS Cnr | CNR IRIS
2024
Contribution to conference
Open Access
Blue-Cloud 2026 - Virtual Research Environment service
Assante M., Candela L., Frosini L., Mangiacrapa F., Molinaro E., Pagano P.
BlueCloud Virtual Research Environment Service The BlueCloud Virtual Research Environment (VRE) is one of the two main components of the BlueCloud technical framework, next to the BlueCloud Data Discovery and Access Service (DDAS). The BlueCloud VRE components are developed and operated by relying on the D4Science infrastructure [Assante et al., 2019; 2023; Candela et al., 2023] and range from services to promote the collaboration among its users to services supporting the execution of analytics tasks embedded in a distributed computing infrastructure, and to services enabling the cocreation of entire Virtual Laboratories (VLabs), also interoperable with the BlueCloud DDAS. The VRE services are instrumental in advancing Open Science practices within VLabs, empowering researchers to harness the advantages of stateoftheart einfrastructures. By leveraging these services, researchers can capitalise on the power of the Cloud and of einfrastructures, driving scientific progress and enabling collaborative research efforts within the realm of Open Science.Source: MISCELLANEA INGV, vol. 80, pp. 240-241. Bergen, Norway, 27-29/05/2024
DOI: 10.13127/misc/80/91
Project(s): Blue-Cloud 2026
Metrics:
Assante M., Candela L., Frosini L., Mangiacrapa F., Molinaro E., Pagano P.
BlueCloud Virtual Research Environment Service The BlueCloud Virtual Research Environment (VRE) is one of the two main components of the BlueCloud technical framework, next to the BlueCloud Data Discovery and Access Service (DDAS). The BlueCloud VRE components are developed and operated by relying on the D4Science infrastructure [Assante et al., 2019; 2023; Candela et al., 2023] and range from services to promote the collaboration among its users to services supporting the execution of analytics tasks embedded in a distributed computing infrastructure, and to services enabling the cocreation of entire Virtual Laboratories (VLabs), also interoperable with the BlueCloud DDAS. The VRE services are instrumental in advancing Open Science practices within VLabs, empowering researchers to harness the advantages of stateoftheart einfrastructures. By leveraging these services, researchers can capitalise on the power of the Cloud and of einfrastructures, driving scientific progress and enabling collaborative research efforts within the realm of Open Science.Source: MISCELLANEA INGV, vol. 80, pp. 240-241. Bergen, Norway, 27-29/05/2024
DOI: 10.13127/misc/80/91
Project(s): Blue-Cloud 2026
Metrics:
See at:
editoria.ingv.it | CNR IRIS | doi.org | IRIS Cnr | CNR IRIS
2023
Other
Open Access
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 Af
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.
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 Af
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.
2024
Other
Open Access
SoBigData++ - SoBigData e-Infrastructure Operation Report 3
Assante M., Candela L., Dell'Amico A., Frosini L., Mangiacrapa F., Molinaro E., Oliviero A., Pagano P., Panichi G., Piccioli T.
This Deliverable builds upon and updates the previous reports, D9.2 - “SoBigData e-Infrastructure Operation Report 2” [5] and D9.1 - “SoBigData e-Infrastructure Operation Report 1” [3]. The SoBigData e-Infrastructure has been pivotal in enabling the core services and research support required for the SoBigData++ project, including Virtual Research Environments (VREs), the Catalogue, and Analytics Services. It is accessible through the SoBigData gateway (https://sobigdata.d4science.org), which provides end-users with seamless access to tools, datasets, and services. The SoBigData e-Infrastructure is built upon the D4Science infrastructure, offering a comprehensive platform that facilitates collaborative, transparent, and interdisciplinary research. The deployment and operation of VREs followed a well-defined procedure, leveraging the consolidated process inherited from D4Science. Throughout the 60 months of the project, a total of 27 VREs were created and operated to meet project and community needs. These VREs were classified into five categories: Exploratories, Applications, Virtual Labs, Training, and Management. Notable examples include, (i) SoBigDataLab and SoBigDataLab-PlusPlus for method development and experiments, (ii) Training VREs created for events like Summer Schools and specialised workshops, and (iii) Research spaces (formerly known as Exploratories) supporting targeted domains, such as Migration Studies, Sports Data Science, and Social Impacts of AI. The SoBigData Catalogue (https://sobigdata.d4science.org/catalogue-sobigdata) emerged as a critical resource for both human users and integrated services, enabling access to datasets, services, and analytical methods. The catalogue supports customisable item profiles enriched with metadata fields, controlled vocabularies, and validation rules. By end of term, the Catalogue recorded significant growth, particularly in key item types such as Methods (192 items) and Datasets (250 items). This expansion underscores the Catalogue’s role in promoting resource discoverability and supporting research workflows. Its usage indicators demonstrate its active adoption, with 31,909 total accesses, 29,595 metadata views, and 4,171 resource views recorded. Monthly trends reveal consistent engagement, highlighting its importance in the research ecosystem. The Social Mining Analytics Engine (SMAE) transitioned through the development of a new service, namely Cloud Computing Platform (CCP), offering enhanced scalability and automation through container orchestrations. Methods hosted on the SMAE span multiple categories, such as Text Processing, Web Analytics, and Image Analysis. Over the last year, the platform executed an average of 6.4 million method invocations per month, peaking at 16 million executions in July 2024. As of mid-December ’24, the e-infrastructure serves more than 13,000 users, with an overall trend in the use of the SoBigData VREs from January 2020 to December 2024, highlighting their importance for the research community. The steady engagement through 2023 and 2024, with peaks like July 2024 (2,592 sessions), underscores the VREs continued relevance and utility.Project(s): SoBigData-PlusPlus
Assante M., Candela L., Dell'Amico A., Frosini L., Mangiacrapa F., Molinaro E., Oliviero A., Pagano P., Panichi G., Piccioli T.
This Deliverable builds upon and updates the previous reports, D9.2 - “SoBigData e-Infrastructure Operation Report 2” [5] and D9.1 - “SoBigData e-Infrastructure Operation Report 1” [3]. The SoBigData e-Infrastructure has been pivotal in enabling the core services and research support required for the SoBigData++ project, including Virtual Research Environments (VREs), the Catalogue, and Analytics Services. It is accessible through the SoBigData gateway (https://sobigdata.d4science.org), which provides end-users with seamless access to tools, datasets, and services. The SoBigData e-Infrastructure is built upon the D4Science infrastructure, offering a comprehensive platform that facilitates collaborative, transparent, and interdisciplinary research. The deployment and operation of VREs followed a well-defined procedure, leveraging the consolidated process inherited from D4Science. Throughout the 60 months of the project, a total of 27 VREs were created and operated to meet project and community needs. These VREs were classified into five categories: Exploratories, Applications, Virtual Labs, Training, and Management. Notable examples include, (i) SoBigDataLab and SoBigDataLab-PlusPlus for method development and experiments, (ii) Training VREs created for events like Summer Schools and specialised workshops, and (iii) Research spaces (formerly known as Exploratories) supporting targeted domains, such as Migration Studies, Sports Data Science, and Social Impacts of AI. The SoBigData Catalogue (https://sobigdata.d4science.org/catalogue-sobigdata) emerged as a critical resource for both human users and integrated services, enabling access to datasets, services, and analytical methods. The catalogue supports customisable item profiles enriched with metadata fields, controlled vocabularies, and validation rules. By end of term, the Catalogue recorded significant growth, particularly in key item types such as Methods (192 items) and Datasets (250 items). This expansion underscores the Catalogue’s role in promoting resource discoverability and supporting research workflows. Its usage indicators demonstrate its active adoption, with 31,909 total accesses, 29,595 metadata views, and 4,171 resource views recorded. Monthly trends reveal consistent engagement, highlighting its importance in the research ecosystem. The Social Mining Analytics Engine (SMAE) transitioned through the development of a new service, namely Cloud Computing Platform (CCP), offering enhanced scalability and automation through container orchestrations. Methods hosted on the SMAE span multiple categories, such as Text Processing, Web Analytics, and Image Analysis. Over the last year, the platform executed an average of 6.4 million method invocations per month, peaking at 16 million executions in July 2024. As of mid-December ’24, the e-infrastructure serves more than 13,000 users, with an overall trend in the use of the SoBigData VREs from January 2020 to December 2024, highlighting their importance for the research community. The steady engagement through 2023 and 2024, with peaks like July 2024 (2,592 sessions), underscores the VREs continued relevance and utility.Project(s): SoBigData-PlusPlus
2024
Other
Open Access
Blue-Cloud VRE operation report
Assante M., Candela L., Calanducci A., Cirillo R., Dell’amico A., Frosini L., Lelii L., Molinaro E., Mangiacrapa F., Oliviero A., Pagano P., Panichi G., Piccioli T.
The Horizon Europe Blue-Cloud initiative started in 2019 with the aim of creating a European Open Science Cloud for marine data. This involves federating data and e-infrastructures to provide data products and technologies as open science resources for the wider marine research community. Since 2023, the Blue-Cloud 2026 follow-up project has sought to further evolve this pilot ecosystem into a Federated European Ecosystem, offering FAIR and open data and analytical services crucial for advancing research on oceans, EU seas, and coastal and inland waters. Building on the pilot Blue-Cloud project, the current technical framework is designed to be extensible and open, continually evolving to meet the community's needs. The Blue-Cloud platform architecture comprises two major components: (a) the Blue-Cloud Data Discovery and Access Service (DDAS) component, which facilitates federated discovery and access to 'blue data' infrastructures, and (b) the Blue-Cloud Virtual Research Environment (VRE) component, which provides a Blue-Cloud VRE as a federation of computing platforms and analytical services. The VLabs leverage both DDAS and VRE, co-created with leading marine researchers to demonstrate the power of the Blue-Cloud Open Science platform through real-life scientific cases. \ This deliverable focuses on the VRE operation, specifically on how the VRE services have been utilised and managed to support the development of the Blue-Cloud VRE gateway (https://blue-cloud.d4science.org), its underlying infrastructure, and the VLabs on top of it, during the reporting period from January 2023 (M1) to June 2024 (M18). A total of 13 VLabs were created and operated to meet the needs arising from the Blue-Cloud 2026 project. Additionally, 7 VLabs from the previous Blue-Cloud project are being maintained. These working environments serve more than 1,700 users from 34 countries. Between January 2023 and June 2024, users initiated more than 26,000 working sessions via the Blue-Cloud VRE, averaging 1,447 sessions per month. Operating the VRE and VLabs involves managing support requests, issues, and incidents. A total of 143 tickets have been created and managed in the Blue-Cloud Project Issue Trackers (23 in the project consortium tracker and 120 in the support tracker), with 85% of these tickets closed. Additionally, 24 tickets related to Blue-Cloud have been created within the D4Science overall context, with an 88% closure rate.DOI: 10.5281/zenodo.12667549
Project(s): Blue-Cloud 2026
Metrics:
Assante M., Candela L., Calanducci A., Cirillo R., Dell’amico A., Frosini L., Lelii L., Molinaro E., Mangiacrapa F., Oliviero A., Pagano P., Panichi G., Piccioli T.
The Horizon Europe Blue-Cloud initiative started in 2019 with the aim of creating a European Open Science Cloud for marine data. This involves federating data and e-infrastructures to provide data products and technologies as open science resources for the wider marine research community. Since 2023, the Blue-Cloud 2026 follow-up project has sought to further evolve this pilot ecosystem into a Federated European Ecosystem, offering FAIR and open data and analytical services crucial for advancing research on oceans, EU seas, and coastal and inland waters. Building on the pilot Blue-Cloud project, the current technical framework is designed to be extensible and open, continually evolving to meet the community's needs. The Blue-Cloud platform architecture comprises two major components: (a) the Blue-Cloud Data Discovery and Access Service (DDAS) component, which facilitates federated discovery and access to 'blue data' infrastructures, and (b) the Blue-Cloud Virtual Research Environment (VRE) component, which provides a Blue-Cloud VRE as a federation of computing platforms and analytical services. The VLabs leverage both DDAS and VRE, co-created with leading marine researchers to demonstrate the power of the Blue-Cloud Open Science platform through real-life scientific cases. \ This deliverable focuses on the VRE operation, specifically on how the VRE services have been utilised and managed to support the development of the Blue-Cloud VRE gateway (https://blue-cloud.d4science.org), its underlying infrastructure, and the VLabs on top of it, during the reporting period from January 2023 (M1) to June 2024 (M18). A total of 13 VLabs were created and operated to meet the needs arising from the Blue-Cloud 2026 project. Additionally, 7 VLabs from the previous Blue-Cloud project are being maintained. These working environments serve more than 1,700 users from 34 countries. Between January 2023 and June 2024, users initiated more than 26,000 working sessions via the Blue-Cloud VRE, averaging 1,447 sessions per month. Operating the VRE and VLabs involves managing support requests, issues, and incidents. A total of 143 tickets have been created and managed in the Blue-Cloud Project Issue Trackers (23 in the project consortium tracker and 120 in the support tracker), with 85% of these tickets closed. Additionally, 24 tickets related to Blue-Cloud have been created within the D4Science overall context, with an 88% closure rate.DOI: 10.5281/zenodo.12667549
Project(s): Blue-Cloud 2026
Metrics:
2023
Other
Metadata Only Access
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 Ast, La Bruzzo S, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Molinaro E, Pagano P, Panichi G, Paratore Mt, Pavone G, Piccioli T, Sinibaldi F, Straccia U, Vannini Gl
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.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 Ast, La Bruzzo S, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Molinaro E, Pagano P, Panichi G, Paratore Mt, Pavone G, Piccioli T, Sinibaldi F, Straccia U, Vannini Gl
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.DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR Metrics:
See at:
CNR IRIS