2026
Conference article
Open Access
A conversational assistant for geoscientists in virtual research environments
Peccerillo Biagio, Oliviero Alfredo, Procaccini Marco, Candela Leonardo, Frosini Luca, Mangiacrapa Francesco, Panichi Giancarlo, Assante Massimiliano, Pagano Pasquale
D4Science provides web-based Virtual Research Environments (VREs) that support FAIR, open, and reproducible science across multiple research domains, including Earth science. These environments integrate data access, computation, and collaboration services, offering powerful capabilities to researchers and enabling complex, data-intensive scientific activities within a shared digital infrastructure. This contribution introduces a conversational intelligent assistant integrated into D4Science VREs, designed to support Earth scientists in their research activity. The assistant provides a natural language interface that helps users interact with D4Science VREs' services, locate relevant datasets and research items, obtain guidance on common tasks, and support exploratory and operational activities within the VRE. The assistant is designed with a modular approach. The user interacts with a coordinator agent that orchestrates a multi-agent system, where specialized AI agents collaborate to perform a variety of tasks. This architecture allows the assistant to handle heterogeneous requests and to support users across different phases of their research activities, while also facilitating maintenance and extensibility. The conversational agent adopts a Retrieval-Augmented Generation (RAG) approach that leverages the knowledge already captured by the VRE through its regular use by research communities. In fact, as VREs naturally accumulate updated knowledge created and curated by researchers over time, the assistant's knowledge base evolves incorporating new information. This way, the assistant can ground its responses in domain-specific and up-to-date information, effectively acting as a domain-aware expert embedded within the research environment. By serving as an accessible entry point to the VRE, the assistant complements existing interfaces without altering established workflows. The presentation discusses the motivation, design choices, and integration strategy. It also presents various concrete use cases relevant to Earth scientists, demonstrating how the conversational assistant can be effectively employed to support their research activity.DOI: 10.5194/egusphere-egu26-13138
Metrics:
Peccerillo Biagio, Oliviero Alfredo, Procaccini Marco, Candela Leonardo, Frosini Luca, Mangiacrapa Francesco, Panichi Giancarlo, Assante Massimiliano, Pagano Pasquale
D4Science provides web-based Virtual Research Environments (VREs) that support FAIR, open, and reproducible science across multiple research domains, including Earth science. These environments integrate data access, computation, and collaboration services, offering powerful capabilities to researchers and enabling complex, data-intensive scientific activities within a shared digital infrastructure. This contribution introduces a conversational intelligent assistant integrated into D4Science VREs, designed to support Earth scientists in their research activity. The assistant provides a natural language interface that helps users interact with D4Science VREs' services, locate relevant datasets and research items, obtain guidance on common tasks, and support exploratory and operational activities within the VRE. The assistant is designed with a modular approach. The user interacts with a coordinator agent that orchestrates a multi-agent system, where specialized AI agents collaborate to perform a variety of tasks. This architecture allows the assistant to handle heterogeneous requests and to support users across different phases of their research activities, while also facilitating maintenance and extensibility. The conversational agent adopts a Retrieval-Augmented Generation (RAG) approach that leverages the knowledge already captured by the VRE through its regular use by research communities. In fact, as VREs naturally accumulate updated knowledge created and curated by researchers over time, the assistant's knowledge base evolves incorporating new information. This way, the assistant can ground its responses in domain-specific and up-to-date information, effectively acting as a domain-aware expert embedded within the research environment. By serving as an accessible entry point to the VRE, the assistant complements existing interfaces without altering established workflows. The presentation discusses the motivation, design choices, and integration strategy. It also presents various concrete use cases relevant to Earth scientists, demonstrating how the conversational assistant can be effectively employed to support their research activity.DOI: 10.5194/egusphere-egu26-13138
Metrics:
See at:
CNR IRIS 
| www.egu26.eu | CNR IRIS 
2026
Journal article
Open Access
Deploying conversational agents in virtual research environments: approaches and lessons learned
Assante Massimiliano, Candela Leonardo, Dell'Amico Andrea, Frosini Luca, Mangiacrapa Francesco, Oliviero Alfredo, Pagano Pasquale, Panichi Giancarlo, Peccerillo Biagio, Piccioli Tommaso, Procaccini Marco
Conversational agents have the potential to streamline tasks, provide support, and enhance user experience across various domains including Virtual Research Environments (VREs). The recent progress in conversational artificial intelligence and Large Language Models (LLMs) offers novel strategies for the development of these agents. This paper reports on the potential benefits, the challenges and the approaches resulting from concrete experiences in developing and equipping D4Science-based VREs with suitable conversational agents. The paper presents three successive implementation approaches and the resulting agent solution, each designed to address the limitations identified in the preceding iteration and to leverage the advantages offered by newer implementation and development options. The proposed approaches led to the progressive refinement of the agent design and functionality, resulting in DAVE, a conversational agent capable of securely interacting with multiple D4Science services and supporting a wide range of user workflows. The iterative process highlighted critical requirements—including authentication handling, usability, and extensibility—that can inform the design of conversational agents in similar research infrastructures. The study shows that conversational agents can effectively lower the barrier to accessing VRE functionalities and enhance user engagement. The resulting design principles and lessons learned provide a foundation for future work aimed at extending DAVE with an enhanced feedback mechanism and locally hosted LLM integration, and conducting systematic usability evaluations within active research communities.Source: SN COMPUTER SCIENCE, vol. 7
DOI: 10.1007/s42979-026-04863-3
Project(s): A federated European FAIR and Open Research Ecosystem for oceans, seas, coastal and inland waters, FOSSR—Fostering Open Science in Social Science Research
Metrics:
Assante Massimiliano, Candela Leonardo, Dell'Amico Andrea, Frosini Luca, Mangiacrapa Francesco, Oliviero Alfredo, Pagano Pasquale, Panichi Giancarlo, Peccerillo Biagio, Piccioli Tommaso, Procaccini Marco
Conversational agents have the potential to streamline tasks, provide support, and enhance user experience across various domains including Virtual Research Environments (VREs). The recent progress in conversational artificial intelligence and Large Language Models (LLMs) offers novel strategies for the development of these agents. This paper reports on the potential benefits, the challenges and the approaches resulting from concrete experiences in developing and equipping D4Science-based VREs with suitable conversational agents. The paper presents three successive implementation approaches and the resulting agent solution, each designed to address the limitations identified in the preceding iteration and to leverage the advantages offered by newer implementation and development options. The proposed approaches led to the progressive refinement of the agent design and functionality, resulting in DAVE, a conversational agent capable of securely interacting with multiple D4Science services and supporting a wide range of user workflows. The iterative process highlighted critical requirements—including authentication handling, usability, and extensibility—that can inform the design of conversational agents in similar research infrastructures. The study shows that conversational agents can effectively lower the barrier to accessing VRE functionalities and enhance user engagement. The resulting design principles and lessons learned provide a foundation for future work aimed at extending DAVE with an enhanced feedback mechanism and locally hosted LLM integration, and conducting systematic usability evaluations within active research communities.Source: SN COMPUTER SCIENCE, vol. 7
DOI: 10.1007/s42979-026-04863-3
Project(s): A federated European FAIR and Open Research Ecosystem for oceans, seas, coastal and inland waters, FOSSR—Fostering Open Science in Social Science Research
Metrics:
See at:
CNR IRIS | link.springer.com | CNR IRIS
2025
Journal article
Restricted
NAVIGATOR: a regional multimodal imaging biobank initiative powered by AI tools for precision medicine in oncology
Aghakhanyan G., Barucci A., Pascali M. A., Assante M., Bagnacci G., Bertelli E., Caputo F. P., Cuibari M. E., Carlini E., Carpi R., Caudai C., Cioni D., Colantonio S., Colcelli V., Dell'Amico A., Vecchio V. D., Gangi D. D., Faggioni L., Formica V., Francischello R., Frosini L., Kotsa C., Lipari G., Manghi P., Martino V. D., Marzi C., Mazzei M. A., Mangiacrapa F., Meglio N. D., Miele V., Molinaro E., Paiar F., Pagano P., Panichi G., Pasquinelli F., Peccerillo B., Perrella A., Piccioli T., Oliviero A., Olivoni M., Rucci D., Tampucci M., Tumminello L., Volpini F., Zanuzzi A., Fanni S. C., Neri E.
The NAVIGATOR project established an Italian regional imaging biobank and interactive research platform designed to support precision oncology through the integration of multimodal imaging, clinical, and omics data. The platform goes beyond a static repository, offering a secure Virtual Research Environment (VRE) where users can upload data, test AI algorithms, and execute complete analytical pipelines. The platform incorporates artificial intelligence (AI)-driven radiomics and deep learning methodologies to enable biomarker extraction, disease stratification, and predictive modeling. This manuscript presents the development and implementation of the NAVIGATOR infrastructure, including its data governance framework, ethical and legal considerations, and application to three oncological use cases: prostate, rectal, and gastric cancers. To date, the biobank has collected imaging and clinical data from over 700 patients across these cohorts. AI models were deployed within a dedicated VRE to facilitate image analysis, feature extraction, and classification tasks. The project addresses critical challenges related to data harmonization, regulatory compliance, privacy safeguards and fairness in AI systems. NAVIGATOR demonstrates the feasibility of integrating AI methodologies within imaging biobanks and provides a scalable framework to advance oncological research and support clinical decision-making.Source: EUROPEAN JOURNAL OF RADIOLOGY, vol. 191 (issue 112327)
DOI: 10.1016/j.ejrad.2025.112327
Project(s): An Imaging Biobank to Precisely Prevent and Predict cancer, and facilitate the Participation of oncologic patients to Diagnosis and Treatment
Metrics:
Aghakhanyan G., Barucci A., Pascali M. A., Assante M., Bagnacci G., Bertelli E., Caputo F. P., Cuibari M. E., Carlini E., Carpi R., Caudai C., Cioni D., Colantonio S., Colcelli V., Dell'Amico A., Vecchio V. D., Gangi D. D., Faggioni L., Formica V., Francischello R., Frosini L., Kotsa C., Lipari G., Manghi P., Martino V. D., Marzi C., Mazzei M. A., Mangiacrapa F., Meglio N. D., Miele V., Molinaro E., Paiar F., Pagano P., Panichi G., Pasquinelli F., Peccerillo B., Perrella A., Piccioli T., Oliviero A., Olivoni M., Rucci D., Tampucci M., Tumminello L., Volpini F., Zanuzzi A., Fanni S. C., Neri E.
The NAVIGATOR project established an Italian regional imaging biobank and interactive research platform designed to support precision oncology through the integration of multimodal imaging, clinical, and omics data. The platform goes beyond a static repository, offering a secure Virtual Research Environment (VRE) where users can upload data, test AI algorithms, and execute complete analytical pipelines. The platform incorporates artificial intelligence (AI)-driven radiomics and deep learning methodologies to enable biomarker extraction, disease stratification, and predictive modeling. This manuscript presents the development and implementation of the NAVIGATOR infrastructure, including its data governance framework, ethical and legal considerations, and application to three oncological use cases: prostate, rectal, and gastric cancers. To date, the biobank has collected imaging and clinical data from over 700 patients across these cohorts. AI models were deployed within a dedicated VRE to facilitate image analysis, feature extraction, and classification tasks. The project addresses critical challenges related to data harmonization, regulatory compliance, privacy safeguards and fairness in AI systems. NAVIGATOR demonstrates the feasibility of integrating AI methodologies within imaging biobanks and provides a scalable framework to advance oncological research and support clinical decision-making.Source: EUROPEAN JOURNAL OF RADIOLOGY, vol. 191 (issue 112327)
DOI: 10.1016/j.ejrad.2025.112327
Project(s): An Imaging Biobank to Precisely Prevent and Predict cancer, and facilitate the Participation of oncologic patients to Diagnosis and Treatment
Metrics:
See at:
European Journal of Radiology | Archivio della Ricerca - Università di Pisa | CNR IRIS | CNR IRIS | Archivio della Ricerca - Università di Pisa
2025
Other
Open Access
ISTI-day 2025 Proceedings
Del Corso G., Pedrotti A., Federico G., Gennaro C., Carrara F., Amato G., Di Benedetto M., Gabrielli E., Belli D., Matrullo Zoe, Miori V., Tolomei Gabriele, Waheed T., Marchetti E., Calabrò Antonello., Rossetti G., Stella Massimo, Cazabet Rémy, Abramski K., Cau E., Citraro S., Failla A., Mesina V., Morini V., Pansanella V., Colantonio S., Germanese D., Pascali M. A., Bianchi L., Messina N., Falchi F., Barsellotti L., Pacini G., Cassese M., Puccetti G., Esuli A., Volpi L., Moreo Alejandro, Sebastiani F., Sperduti G., Nguyen Dong, Broccia G., Ter Beek M. H., Ferrari A., Massink M., Belmonte Gina, Ciancia V., Papini O., Canapa G., Catricalà B., Manca M., Paternò F., Santoro C., Zedda E., Gallo S., Maenza S., Mattioli A., Simeoli L., Rucci D., Carlini E., Dazzi P., Kavalionak H., Mordacchini M., Rulli C., Muntean Cristina Ioana, Nardini F. M., Perego R., Rocchietti G., Lettich F., Renso C., Pugliese C., Casini G., Haldimann Jonas, Meyer Thomas, Assante M., Candela L., Dell'Amico A., Frosini L., Mangiacrapa F., Oliviero A., Pagano P., Panichi G., Peccerillo B., Procaccini M., Mannocci A., Manghi P., Lonetti F., Kang Dongjae, Di Giandomenico F., Jee Eunkyoung, Lazzini G., Conti F., Scopigno R., D'Acunto M., Moroni D., Cafiso M., Paradisi P., Callieri M., Pavoni G., Corsini M., De Falco A., Sala F., Saraceni Q., Gattiglia Gabriele
ISTI-Day is an annual information and networking event organized by the Institute of Information Science and Technologies "A. Faedo" (ISTI) of the Italian National Research Council (CNR). This event features an opening talk of the Director of the Dept. DIITET (Emilio F. Campana) as well as an overview of the Institute's activities presented by the ISTI Director (Roberto Scopigno). Those institutional segments are complemented by dedicated presentations and round tables featuring former staff members, as well as internal and external collaborators. To foster a network of knowledge and collaboration among newcomers, the 2025 ISTI Day edition also includes a large poster session that provides a comprehensive overview of current research activities. Each of the 13 laboratories contributes 1–3 posters, highlighting the most innovative work and offering early-career researchers a platform for discussion. Thus these proceedings include the posters selected for ISTI-Day 2025, reflecting the diverse and innovative nature of the Institute's research.
Del Corso G., Pedrotti A., Federico G., Gennaro C., Carrara F., Amato G., Di Benedetto M., Gabrielli E., Belli D., Matrullo Zoe, Miori V., Tolomei Gabriele, Waheed T., Marchetti E., Calabrò Antonello., Rossetti G., Stella Massimo, Cazabet Rémy, Abramski K., Cau E., Citraro S., Failla A., Mesina V., Morini V., Pansanella V., Colantonio S., Germanese D., Pascali M. A., Bianchi L., Messina N., Falchi F., Barsellotti L., Pacini G., Cassese M., Puccetti G., Esuli A., Volpi L., Moreo Alejandro, Sebastiani F., Sperduti G., Nguyen Dong, Broccia G., Ter Beek M. H., Ferrari A., Massink M., Belmonte Gina, Ciancia V., Papini O., Canapa G., Catricalà B., Manca M., Paternò F., Santoro C., Zedda E., Gallo S., Maenza S., Mattioli A., Simeoli L., Rucci D., Carlini E., Dazzi P., Kavalionak H., Mordacchini M., Rulli C., Muntean Cristina Ioana, Nardini F. M., Perego R., Rocchietti G., Lettich F., Renso C., Pugliese C., Casini G., Haldimann Jonas, Meyer Thomas, Assante M., Candela L., Dell'Amico A., Frosini L., Mangiacrapa F., Oliviero A., Pagano P., Panichi G., Peccerillo B., Procaccini M., Mannocci A., Manghi P., Lonetti F., Kang Dongjae, Di Giandomenico F., Jee Eunkyoung, Lazzini G., Conti F., Scopigno R., D'Acunto M., Moroni D., Cafiso M., Paradisi P., Callieri M., Pavoni G., Corsini M., De Falco A., Sala F., Saraceni Q., Gattiglia Gabriele
ISTI-Day is an annual information and networking event organized by the Institute of Information Science and Technologies "A. Faedo" (ISTI) of the Italian National Research Council (CNR). This event features an opening talk of the Director of the Dept. DIITET (Emilio F. Campana) as well as an overview of the Institute's activities presented by the ISTI Director (Roberto Scopigno). Those institutional segments are complemented by dedicated presentations and round tables featuring former staff members, as well as internal and external collaborators. To foster a network of knowledge and collaboration among newcomers, the 2025 ISTI Day edition also includes a large poster session that provides a comprehensive overview of current research activities. Each of the 13 laboratories contributes 1–3 posters, highlighting the most innovative work and offering early-career researchers a platform for discussion. Thus these proceedings include the posters selected for ISTI-Day 2025, reflecting the diverse and innovative nature of the Institute's research.
See at:
CNR IRIS | www.isti.cnr.it | CNR IRIS
2025
Other
Open Access
GreenDIGIT D5.3: Design and operation of a federated data management infrastructure for open science workflows
Assante M., Frosini L., Mangiacrapa F., Molinaro E., Oliviero A., Panichi G.
This short report accompanies the deliverable “Design and Operation of a Federated Data Management Infrastructure for Open Science Workflows”, classified as a “DEM” (Demonstrator). It provides a concise overview of the design and deployment of the key software components constituting the Federated Data Management Infrastructure (FDMI), developed to meet the current operational needs of the GreenDIGIT community in support of open science workflows.DOI: 10.5281/zenodo.17210872
DOI: 10.5281/zenodo.17210871
Project(s): Greener Future Digital Research Infrastructures
Metrics:
Assante M., Frosini L., Mangiacrapa F., Molinaro E., Oliviero A., Panichi G.
This short report accompanies the deliverable “Design and Operation of a Federated Data Management Infrastructure for Open Science Workflows”, classified as a “DEM” (Demonstrator). It provides a concise overview of the design and deployment of the key software components constituting the Federated Data Management Infrastructure (FDMI), developed to meet the current operational needs of the GreenDIGIT community in support of open science workflows.DOI: 10.5281/zenodo.17210872
DOI: 10.5281/zenodo.17210871
Project(s): Greener Future Digital Research Infrastructures
Metrics:
2025
Contribution to conference
Open Access
Deploying Conversational Agents in Virtual Research Environments: Approaches and Lessons Learned
Massimiliano Assante, Leonardo Candela, Andrea Dell’amico, Luca Frosini, Francesco Mangiacrapa, Alfredo Oliviero, Pasquale Pagano, Giancarlo Panichi, Biagio Peccerillo, Marco Procaccini
The rapid progress of conversational artificial intelligence and Large Language Models (LLMs) has opened new opportunities to enhance user interaction, support, and accessibility in Virtual Research Environments (VREs). This poster presents the approaches, challenges, and lessons learned from a multi-year e!ort to design, develop, and deploy conversational agents within the D4Science infrastructure. Through three successive implementation cycles—Janet, D4Science AI Agent, and DAVE—the poster traces a process of iterative refinement aimed at improving flexibility, extensibility, usability, and integration with existing VRE services. Janet, the first prototype, explored modular NLP components but revealed limitations in adaptability and feedback integration. The second approach, based on the Cheshire Cat framework, improved modularity and LLM interoperability but remained constrained by a single-agent design. The latest solution, DAVE (D4Science Assistant for Virtual research Environments), introduces a multi-agent architecture built with Google’s Agent Development Kit, enabling secure and context-aware interaction with multiple D4Science services. DAVE combines specialized agents for tasks such as document analysis, catalogue navigation, social interaction summarization, and algorithm deployment within D4Science’s computational platform. Integrated feedback mechanisms and a Retrieval-Augmented Generation (RAG) knowledge base further enhance its learning and personalization capabilities. The findings demonstrate that conversational agents can lower barriers to VRE adoption, streamline workflows, and foster user engagement by o!ering intuitive, natural language interfaces. Lessons learned from this evolution suggest key design principles for future research infrastructure agents, emphasizing modularity, interoperability, and data security. Future work will involve usability evaluations, the integration of user-driven feedback, and experimentation with locally-hosted LLMs to strengthen privacy and operational sustainability.
Massimiliano Assante, Leonardo Candela, Andrea Dell’amico, Luca Frosini, Francesco Mangiacrapa, Alfredo Oliviero, Pasquale Pagano, Giancarlo Panichi, Biagio Peccerillo, Marco Procaccini
The rapid progress of conversational artificial intelligence and Large Language Models (LLMs) has opened new opportunities to enhance user interaction, support, and accessibility in Virtual Research Environments (VREs). This poster presents the approaches, challenges, and lessons learned from a multi-year e!ort to design, develop, and deploy conversational agents within the D4Science infrastructure. Through three successive implementation cycles—Janet, D4Science AI Agent, and DAVE—the poster traces a process of iterative refinement aimed at improving flexibility, extensibility, usability, and integration with existing VRE services. Janet, the first prototype, explored modular NLP components but revealed limitations in adaptability and feedback integration. The second approach, based on the Cheshire Cat framework, improved modularity and LLM interoperability but remained constrained by a single-agent design. The latest solution, DAVE (D4Science Assistant for Virtual research Environments), introduces a multi-agent architecture built with Google’s Agent Development Kit, enabling secure and context-aware interaction with multiple D4Science services. DAVE combines specialized agents for tasks such as document analysis, catalogue navigation, social interaction summarization, and algorithm deployment within D4Science’s computational platform. Integrated feedback mechanisms and a Retrieval-Augmented Generation (RAG) knowledge base further enhance its learning and personalization capabilities. The findings demonstrate that conversational agents can lower barriers to VRE adoption, streamline workflows, and foster user engagement by o!ering intuitive, natural language interfaces. Lessons learned from this evolution suggest key design principles for future research infrastructure agents, emphasizing modularity, interoperability, and data security. Future work will involve usability evaluations, the integration of user-driven feedback, and experimentation with locally-hosted LLMs to strengthen privacy and operational sustainability.
2025
Other
Restricted
InfraScience research activity report 2024
Angioni S., 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 Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
Metrics:
Angioni S., 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 Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
Metrics:
2025
Other
Open Access
IRISCC D6.4 - Report on deployed and launched IRISCC interoperability framework with guidance documentation for service developers
Assante M., Candela L., Dell'Amico A., Frosini L., Mangiacrapa F., Molinaro E., Oliviero A., Pagano P., Panichi G., Peccerillo B., Piccioli T.
The Deliverable D6.4 - Report on deployed and launched IRISCC interoperability framework with guidance documentation for service developers provides a high-level overview of the IRISCC Interoperability Framework, deployed under Work Package 6 (WP6) of the IRISCC project. The interoperability framework is built on the D4Science Virtual Research Environment (VRE). It supports collaborative research by offering a unified platform for data management, computational tools, and reproducibility. At its core, the framework is accessible through the IRISCC VRE Gateway, a web portal available at https://iriscc.d4science.org. This gateway acts as a centralised access point for all services and resources, providing functionalities such as a Shared Workspace for collaborative file management, tailored Virtual Labs (VLabs) for the integration of research demonstrator tools, and user-friendly tools like Jupyter Notebooks, RStudio, Shiny Apps, and the Cloud Computing Platform (CCP) to facilitate advanced computational workflows. The framework is supported by a robust Identity and Access Management (IAM) service that ensures secure and federated access through widely adopted protocols. Integration with external systems, such as the EGI Check-in service, enables cross-institutional collaboration, while secure access controls ensure consistency and compliance across all services. The report also provides guidance for service developers, such as the IRISCC WP4 Demonstrators, on effectively leveraging the framework. Developers can utilise advanced tools to deploy customised services, containerised applications, and automated workflows. By relying on the framework’s infrastructure for critical functions such as authentication, authorisation, resource monitoring, and scalability, developers can focus on innovation and the creation of impactful solutions. Furthermore, the framework simplifies integration with external resources, enhances collaboration, and reduces operational complexity.DOI: 10.5281/zenodo.14777921
DOI: 10.5281/zenodo.14777920
Project(s): Integrated Research Infrastructure Services for Climate Change risks
Metrics:
Assante M., Candela L., Dell'Amico A., Frosini L., Mangiacrapa F., Molinaro E., Oliviero A., Pagano P., Panichi G., Peccerillo B., Piccioli T.
The Deliverable D6.4 - Report on deployed and launched IRISCC interoperability framework with guidance documentation for service developers provides a high-level overview of the IRISCC Interoperability Framework, deployed under Work Package 6 (WP6) of the IRISCC project. The interoperability framework is built on the D4Science Virtual Research Environment (VRE). It supports collaborative research by offering a unified platform for data management, computational tools, and reproducibility. At its core, the framework is accessible through the IRISCC VRE Gateway, a web portal available at https://iriscc.d4science.org. This gateway acts as a centralised access point for all services and resources, providing functionalities such as a Shared Workspace for collaborative file management, tailored Virtual Labs (VLabs) for the integration of research demonstrator tools, and user-friendly tools like Jupyter Notebooks, RStudio, Shiny Apps, and the Cloud Computing Platform (CCP) to facilitate advanced computational workflows. The framework is supported by a robust Identity and Access Management (IAM) service that ensures secure and federated access through widely adopted protocols. Integration with external systems, such as the EGI Check-in service, enables cross-institutional collaboration, while secure access controls ensure consistency and compliance across all services. The report also provides guidance for service developers, such as the IRISCC WP4 Demonstrators, on effectively leveraging the framework. Developers can utilise advanced tools to deploy customised services, containerised applications, and automated workflows. By relying on the framework’s infrastructure for critical functions such as authentication, authorisation, resource monitoring, and scalability, developers can focus on innovation and the creation of impactful solutions. Furthermore, the framework simplifies integration with external resources, enhances collaboration, and reduces operational complexity.DOI: 10.5281/zenodo.14777921
DOI: 10.5281/zenodo.14777920
Project(s): Integrated Research Infrastructure Services for Climate Change risks
Metrics:
See at:
CNR IRIS | zenodo.org | ZENODO | ZENODO | CNR IRIS
2025
Other
Open Access
Blue-Cloud2026 D5.4 - Blue Cloud VRE Common Services 2nd Release
Assante M., Candela L., Dalla Torre G., Dell'Amico A., Fernandez E., Frosini L., Lettere M., Mangiacrapa F., Molinaro E., Mugnaini M., Oliviero A., Pagano P., Panichi G., Peccerillo B., Piccioli T.
This deliverable documents 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 second of two versions, each one describing the design associated with a specific version of the VRE. This deliverable D5.4 provides the updated and extended version of D5.1 “Blue-Cloud VRE Common Services 1st Release” [8]. The document presents the current state of the Blue-Cloud Virtual Research Environment (VRE) common services, detailing both the new components introduced in the period M13 to M36 and the enhancements applied to the existing ones to ensure compliance with interoperability, scalability, and robustness requirements. Overall, deliverable D5.4 provides a consolidated, fully up-to-date view of the Blue-Cloud VRE common services architecture, covering functional capabilities, API exposure, deployment configuration, and integration status as of the end of the second reporting period. 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 release of the Blue-Cloud VRE common services available at M36, 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, Galaxy workflows, 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.DOI: 10.5281/zenodo.18189109
Project(s): A federated European FAIR and Open Research Ecosystem for oceans, seas, coastal and inland waters, Blue-Cloud+2026
Metrics:
Assante M., Candela L., Dalla Torre G., Dell'Amico A., Fernandez E., Frosini L., Lettere M., Mangiacrapa F., Molinaro E., Mugnaini M., Oliviero A., Pagano P., Panichi G., Peccerillo B., Piccioli T.
This deliverable documents 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 second of two versions, each one describing the design associated with a specific version of the VRE. This deliverable D5.4 provides the updated and extended version of D5.1 “Blue-Cloud VRE Common Services 1st Release” [8]. The document presents the current state of the Blue-Cloud Virtual Research Environment (VRE) common services, detailing both the new components introduced in the period M13 to M36 and the enhancements applied to the existing ones to ensure compliance with interoperability, scalability, and robustness requirements. Overall, deliverable D5.4 provides a consolidated, fully up-to-date view of the Blue-Cloud VRE common services architecture, covering functional capabilities, API exposure, deployment configuration, and integration status as of the end of the second reporting period. 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 release of the Blue-Cloud VRE common services available at M36, 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, Galaxy workflows, 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.DOI: 10.5281/zenodo.18189109
Project(s): A federated European FAIR and Open Research Ecosystem for oceans, seas, coastal and inland waters, Blue-Cloud+2026
Metrics:
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
Dataset
Open Access
Interactive geographic catalog of environmental, geomorphologic, and socio-economic variables of the Massaciuccoli Lake basin in Tuscany, Italy
Vannini G. L., Coro G., Panichi G.
The catalogue is the result of a process of evaluation, selection and harmonization of environmental, geomorphological and socio-economic data. The data were acquired following the evaluation of FAIR and Open Access principles, from varied sources with heterogeneous spatio-temporal resolutions. The data were then transformed into spatiotemporally aligned datasets and described in a standardised form. The metadata are described in the ISO 19139 standard, in accordance with the INSPIRE directives. The visualisation application integrated in GeoNetwork allows a simple overlay of the data (on first viewing, 'layerExtentZoom' must be selected from the options of the first selected layer). All data are open access.Project(s): Integrated Environmental Research Infrastructures System
Vannini G. L., Coro G., Panichi G.
The catalogue is the result of a process of evaluation, selection and harmonization of environmental, geomorphological and socio-economic data. The data were acquired following the evaluation of FAIR and Open Access principles, from varied sources with heterogeneous spatio-temporal resolutions. The data were then transformed into spatiotemporally aligned datasets and described in a standardised form. The metadata are described in the ISO 19139 standard, in accordance with the INSPIRE directives. The visualisation application integrated in GeoNetwork allows a simple overlay of the data (on first viewing, 'layerExtentZoom' must be selected from the options of the first selected layer). All data are open access.Project(s): Integrated Environmental Research Infrastructures System
See at:
CNR IRIS | services.d4science.org | CNR IRIS
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
Open Access
Implementation of a drug discovery pipeline on the D4Science platform
Orro A, D'Ursi P, Fossa P, Candela L, Panichi G
This report documents the implementation of drug discovery pipeline in the D4Science platform realised in the context of the EOSC-Pillar project. In particular, it documents the pipeline and its constituents. Moreover, it describes how this pipeline has been integrated into the D4Science platform and exploited to create a dedicated Virtual Research Environment facilitating its exploitation and promoting a collaborative oriented approach for screening activities.DOI: 10.32079/isti-tr-2023/001
Project(s): EOSC-Pillar
Metrics:
Orro A, D'Ursi P, Fossa P, Candela L, Panichi G
This report documents the implementation of drug discovery pipeline in the D4Science platform realised in the context of the EOSC-Pillar project. In particular, it documents the pipeline and its constituents. Moreover, it describes how this pipeline has been integrated into the D4Science platform and exploited to create a dedicated Virtual Research Environment facilitating its exploitation and promoting a collaborative oriented approach for screening activities.DOI: 10.32079/isti-tr-2023/001
Project(s): EOSC-Pillar
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
Open 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 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.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.DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR Metrics:
2023
Other
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).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).Project(s): DESIRA
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
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).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).Project(s): SoBigData-PlusPlus
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
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.
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.
See at:
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2023
Other
Restricted
TerritoriAperti - Report a 30 mesi
Assante M., Pagano P., Dell'Amico A., Cirillo R., Mangiacrapa F., Frosini L., Panichi G.
The Territori Aperti Gateway1, provides users with access to the Territori Aperti Catalogue and to the Exploratories supporting scientific research with the creation of new knowledge and skills through the management and enhancement of data and analytical processes.This document illustrates the services exploited by the Territori Aperti Gateway and reports the status of the activities at the end of the 30 months.
Assante M., Pagano P., Dell'Amico A., Cirillo R., Mangiacrapa F., Frosini L., Panichi G.
The Territori Aperti Gateway1, provides users with access to the Territori Aperti Catalogue and to the Exploratories supporting scientific research with the creation of new knowledge and skills through the management and enhancement of data and analytical processes.This document illustrates the services exploited by the Territori Aperti Gateway and reports the status of the activities at the end of the 30 months.
2023
Other
Restricted
OpenASFA - Final report
Assante M., Cirillo R., Dell'Amico A., Pagano P., Panichi G., Piccioli T.
This document describes the services exploited by the Open-ASFA Virtual Research Environment (OPEN-ASFA VRE) at final term, 30 April 2023. It reports on service availability, maintenance, service operation, upgrades and validation. This report also includes metrics of usage of the various services by ASFA users.
Assante M., Cirillo R., Dell'Amico A., Pagano P., Panichi G., Piccioli T.
This document describes the services exploited by the Open-ASFA Virtual Research Environment (OPEN-ASFA VRE) at final term, 30 April 2023. It reports on service availability, maintenance, service operation, upgrades and validation. This report also includes metrics of usage of the various services by ASFA users.
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)
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)
DOI: 10.1002/cpe.6925
Project(s): AGINFRA PLUS
, Blue Cloud , EOSC-Pillar , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS | onlinelibrary.wiley.com | ISTI Repository | CNR IRIS | CNR IRIS