Typology
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2022
Dataset
Metadata Only Access
A taxonomy of tools and approaches for FAIRification
Mangione D, Candela L, Castelli D
Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.DOI: 10.5281/zenodo.6037508
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Metrics:
Mangione D, Candela L, Castelli D
Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.DOI: 10.5281/zenodo.6037508
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS 
2022
Other
Open Access
A taxonomy of tools and approaches for FAIRification
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts.This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts.This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
See at:
CNR IRIS 
| ISTI Repository | CNR IRIS
2022
Conference article
Open Access
A taxonomy of tools and approaches for FAIRification
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts. This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Source: CEUR WORKSHOP PROCEEDINGS. Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts. This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Source: CEUR WORKSHOP PROCEEDINGS. Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | CNR IRIS
2022
Other
Open Access
Research workflows and Open Science
Candela L, Castelli D, Mangione D
The open science paradigm is increasingly praised and encouraged for improving efficiency through deduplication of efforts and for ultimately accelerating scientific discoveries. Such shift towards a collaborative and inclusive scientific process implies an alteration of the traditional research workflows to include the different dimensions that characterise the new paradigm, from open access to new assessment metrics. This systematic study analyses the open science research workflows proposed so far, highlighting (i) their distribution over time, (ii) the various means and approaches used for communicating them, (iii) the terminology used for denominating them, and (iv) the scientific domains where workflows were proposed. Moreover, the workflows were analysed and compared concerning a set of open science aspects deriving from the UNESCO Recommendation on Open Science. Overall, a total of 40 relevant studies were identified and analysed, corresponding to 33 unique workflows. The findings highlight (a) the limited effort spent by the research community to propose and communicate workflows oriented to match open science requirements, and (b) the different nuances of the meaning and understanding of open science and the resulting gap between its theoretical aspects and its practical application to the research processes.DOI: 10.32079/isti-tr-2022/026
Project(s): Blue Cloud, EOSC-Pillar , DESIRA
Metrics:
Candela L, Castelli D, Mangione D
The open science paradigm is increasingly praised and encouraged for improving efficiency through deduplication of efforts and for ultimately accelerating scientific discoveries. Such shift towards a collaborative and inclusive scientific process implies an alteration of the traditional research workflows to include the different dimensions that characterise the new paradigm, from open access to new assessment metrics. This systematic study analyses the open science research workflows proposed so far, highlighting (i) their distribution over time, (ii) the various means and approaches used for communicating them, (iii) the terminology used for denominating them, and (iv) the scientific domains where workflows were proposed. Moreover, the workflows were analysed and compared concerning a set of open science aspects deriving from the UNESCO Recommendation on Open Science. Overall, a total of 40 relevant studies were identified and analysed, corresponding to 33 unique workflows. The findings highlight (a) the limited effort spent by the research community to propose and communicate workflows oriented to match open science requirements, and (b) the different nuances of the meaning and understanding of open science and the resulting gap between its theoretical aspects and its practical application to the research processes.DOI: 10.32079/isti-tr-2022/026
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Other
Restricted
Comparison of federated solutions for distributed infrastructures
Candela L, Castelli D, Mangione D
Federations are an effective mechanism for jointly contributing to a service offering, integrating resources provided by the different federation members. As the open science and the open innovation paradigms are increasingly pursued at the European level, the European Open Science Cloud (EOSC) has been envisaged as a federation of systems for creating a solution fully supporting the research data life cycle across borders and disciplines. This study analyses the federation approaches and solutions adopted by 11 of the major European federated research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) selected for their representativity following their service offering type and thematic area of expertise. A classification of federated and federating services is proposed in order to highlight the action areas that are to be considered when pursuing the creation of a federated infrastructure with the objective of enabling open science and open innovation.DOI: 10.32079/isti-tr-2022/024
Project(s): Blue Cloud, EOSC-Pillar , DESIRA
Metrics:
Candela L, Castelli D, Mangione D
Federations are an effective mechanism for jointly contributing to a service offering, integrating resources provided by the different federation members. As the open science and the open innovation paradigms are increasingly pursued at the European level, the European Open Science Cloud (EOSC) has been envisaged as a federation of systems for creating a solution fully supporting the research data life cycle across borders and disciplines. This study analyses the federation approaches and solutions adopted by 11 of the major European federated research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) selected for their representativity following their service offering type and thematic area of expertise. A classification of federated and federating services is proposed in order to highlight the action areas that are to be considered when pursuing the creation of a federated infrastructure with the objective of enabling open science and open innovation.DOI: 10.32079/isti-tr-2022/024
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA Metrics:
2022
Other
Restricted
Research infrastructures: an Open Science quandary
Candela L, Castelli D, Mangione D
Open science is a disruptive phenomenon characterised by multiple dimensions encompassing the whole research workflow. The magnitude of the changes entailed by the open science paradigm on the research processes requires the research infrastructures to adapt for addressing the technological needs not only of researchers, but of all the stakeholders involved. This study analyses the open science aspects affecting the research workflow and proposes an open science workflow that is then used as a model for examining how the service offering of 11 of the major European research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) relates to the open science paradigm. In light of the different aspects that characterise open science, a comparative analysis of the 11 service offering is presented and the gaps highlighted.DOI: 10.32079/isti-tr-2022/025
Project(s): Blue Cloud, EOSC-Pillar , DESIRA
Metrics:
Candela L, Castelli D, Mangione D
Open science is a disruptive phenomenon characterised by multiple dimensions encompassing the whole research workflow. The magnitude of the changes entailed by the open science paradigm on the research processes requires the research infrastructures to adapt for addressing the technological needs not only of researchers, but of all the stakeholders involved. This study analyses the open science aspects affecting the research workflow and proposes an open science workflow that is then used as a model for examining how the service offering of 11 of the major European research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) relates to the open science paradigm. In light of the different aspects that characterise open science, a comparative analysis of the 11 service offering is presented and the gaps highlighted.DOI: 10.32079/isti-tr-2022/025
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA Metrics:
2022
Dataset
Metadata Only Access
Research workflows and Open Science - Data set
Candela L, Castelli D, Mangione D
Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows.Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Candela L, Castelli D, Mangione D
Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows.Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
See at:
CNR IRIS | zenodo.org
2024
Journal article
Open Access
The FAIR Assessment Conundrum: reflections on tools and metrics
Candela L., Mangione D., Pavone G.
Several tools for assessing FAIRness have been developed. Although their purpose is common, they use different assessment techniques, they are designed to work with diverse research products, and they are applied in specific scientific disciplines. It is thus inevitable that they perform the assessment using different metrics. This paper provides an overview of the actual FAIR assessment tools and metrics landscape to highlight the challenges characterising this task. In particular, 20 relevant FAIR assessment tools and 1180 relevant metrics were identified and analysed concerning (i) the tool’s distinguishing aspects and their trends, (ii) the gaps between the metric intents and the FAIR principles, (iii) the discrepancies between the declared intent of the metrics and the actual aspects assessed, including the most recurring issues, (iv) the technologies used or mentioned the most in the assessment metrics. The findings highlight (a) the distinguishing characteristics of the tools and the emergence of trends over time concerning those characteristics, (b) the identification of gaps at both metric and tool levels, (c) discrepancies observed in 345 metrics between their declared intent and the actual aspects assessed, pointing at several recurring issues, and (d) the variety in the technology used for the assessments, the majority of which can be ascribed to linked data solutions. This work also highlights some open issues that FAIR assessment still needs to address.Source: DATA SCIENCE JOURNAL, vol. 23
DOI: 10.5334/dsj-2024-033
Project(s): Blue-Cloud 2026, Blue Cloud , Skills4EOSC , SoBigData-PlusPlus
Metrics:
Candela L., Mangione D., Pavone G.
Several tools for assessing FAIRness have been developed. Although their purpose is common, they use different assessment techniques, they are designed to work with diverse research products, and they are applied in specific scientific disciplines. It is thus inevitable that they perform the assessment using different metrics. This paper provides an overview of the actual FAIR assessment tools and metrics landscape to highlight the challenges characterising this task. In particular, 20 relevant FAIR assessment tools and 1180 relevant metrics were identified and analysed concerning (i) the tool’s distinguishing aspects and their trends, (ii) the gaps between the metric intents and the FAIR principles, (iii) the discrepancies between the declared intent of the metrics and the actual aspects assessed, including the most recurring issues, (iv) the technologies used or mentioned the most in the assessment metrics. The findings highlight (a) the distinguishing characteristics of the tools and the emergence of trends over time concerning those characteristics, (b) the identification of gaps at both metric and tool levels, (c) discrepancies observed in 345 metrics between their declared intent and the actual aspects assessed, pointing at several recurring issues, and (d) the variety in the technology used for the assessments, the majority of which can be ascribed to linked data solutions. This work also highlights some open issues that FAIR assessment still needs to address.Source: DATA SCIENCE JOURNAL, vol. 23
DOI: 10.5334/dsj-2024-033
Project(s): Blue-Cloud 2026
, Blue Cloud , Skills4EOSC , SoBigData-PlusPlus Metrics:
See at:
IRIS Cnr | Data Science Journal | Data Science Journal | IRIS Cnr | CNR IRIS | CNR IRIS
2024
Conference article
Open Access
An overview of Open Science in Italy
Bardi A., Candela L., Mangione D., Pavone G.
Open Science is a phenomenon pervading scientific practices to make scientific research and its outputs more accessible, transparent, and collaborative. It is gaining momentum globally, and various initiatives were and are underway to promote it. However, implementation varies across disciplines, regions, and institutions. This paper overviews the current state of open science implementation in Italy by analysing the established policies, the scientific production, and the available services documented by several publicly available information systems.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3643, pp. 126-139. Bressanone, Brixen, Italy, 22-23/02/2024
Project(s): Skills4EOSC, SoBigData RI PPP
Bardi A., Candela L., Mangione D., Pavone G.
Open Science is a phenomenon pervading scientific practices to make scientific research and its outputs more accessible, transparent, and collaborative. It is gaining momentum globally, and various initiatives were and are underway to promote it. However, implementation varies across disciplines, regions, and institutions. This paper overviews the current state of open science implementation in Italy by analysing the established policies, the scientific production, and the available services documented by several publicly available information systems.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3643, pp. 126-139. Bressanone, Brixen, Italy, 22-23/02/2024
Project(s): Skills4EOSC
, SoBigData RI PPP
See at:
ceur-ws.org | CNR IRIS | CNR IRIS
2024
Dataset
Open Access
An overview of Open Science in Italy - Data set
Bardi A., Candela L., Mangione D., Pavone G.
Data sets accompanying the paper "An Overview of Open Science in Italy", an overview of the current state of open science implementation in Italy. See the readme.txt for a detailed description of the data sets. The data sets atenei.csv and altri-istituti-ricerca.csv document the organisation selection resulting from the list of Italian universities recognised by the Ministero dell'Università e della Ricerca, the aggregation of data from a crowdsourcing activity born within the Open Access Italia mailing list, from the catalogue of policies of the open-science.it portal, as well as from the survey by the Open Science Working Group of CoPER on the monitoring of institutional policies for the management of scientific data. The data set policies.csv consists of the list of documents (among policies, guidelines and regulations) that are related to the observed organisations. The data set ita_publications_openaire.csv.zip includes records about italian publications selected from the OpenAIRE Graph based on affiliation relationships. The data set is created via the Zeppelin Note available at 10.5281/zenodo.10640721. The data set openaire_observatory_it.csv reports the aggregated data with respect to the Italian open access (OA) and closed research products, from 2015 to 2023, retrieved from the OpenAIRE Open Science Observatory. The data set openaire_observatory_eu.csv consists of the aggregated data on the top eleven European countries for the OA research production (publications, data sets, software, and other research products), from 2015 to 2023, retrieved from the OpenAIRE Open Science Observatory. The data set coki_years.csv consists of the aggregated indicators on the Italian OA production from 2000 to 2023. The data set coki_it.csv consists of the selection of indicators on open and closed publications (from 2015 to 2023) from the coki_years.csv. The data sets services_re3data.csv, services_opendoar.csv, services_eoscmarketplace.csv, and services_fairsharing.csv consist of the records identifying italian services for open science downloaded from re3data, OpenDOAR, the EOSC Marketplace, and FAIRsharing respectively.DOI: 10.5281/zenodo.10611000
Project(s): Skills4EOSC, SoBigData RI PPP
Metrics:
Bardi A., Candela L., Mangione D., Pavone G.
Data sets accompanying the paper "An Overview of Open Science in Italy", an overview of the current state of open science implementation in Italy. See the readme.txt for a detailed description of the data sets. The data sets atenei.csv and altri-istituti-ricerca.csv document the organisation selection resulting from the list of Italian universities recognised by the Ministero dell'Università e della Ricerca, the aggregation of data from a crowdsourcing activity born within the Open Access Italia mailing list, from the catalogue of policies of the open-science.it portal, as well as from the survey by the Open Science Working Group of CoPER on the monitoring of institutional policies for the management of scientific data. The data set policies.csv consists of the list of documents (among policies, guidelines and regulations) that are related to the observed organisations. The data set ita_publications_openaire.csv.zip includes records about italian publications selected from the OpenAIRE Graph based on affiliation relationships. The data set is created via the Zeppelin Note available at 10.5281/zenodo.10640721. The data set openaire_observatory_it.csv reports the aggregated data with respect to the Italian open access (OA) and closed research products, from 2015 to 2023, retrieved from the OpenAIRE Open Science Observatory. The data set openaire_observatory_eu.csv consists of the aggregated data on the top eleven European countries for the OA research production (publications, data sets, software, and other research products), from 2015 to 2023, retrieved from the OpenAIRE Open Science Observatory. The data set coki_years.csv consists of the aggregated indicators on the Italian OA production from 2000 to 2023. The data set coki_it.csv consists of the selection of indicators on open and closed publications (from 2015 to 2023) from the coki_years.csv. The data sets services_re3data.csv, services_opendoar.csv, services_eoscmarketplace.csv, and services_fairsharing.csv consist of the records identifying italian services for open science downloaded from re3data, OpenDOAR, the EOSC Marketplace, and FAIRsharing respectively.DOI: 10.5281/zenodo.10611000
Project(s): Skills4EOSC
, SoBigData RI PPP Metrics:
See at:
CNR IRIS | zenodo.org | CNR IRIS
2022
Dataset
Metadata Only Access
Virtual research environments ethnography: a preliminary study
Arezoumandan M, Candela L, Castelli D, Ghannadrad A, Mangione D, Pagano P
This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.DOI: 10.5281/zenodo.6481183
Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Metrics:
Arezoumandan M, Candela L, Castelli D, Ghannadrad A, Mangione D, Pagano P
This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.DOI: 10.5281/zenodo.6481183
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS
2022
Conference article
Open Access
Virtual research environments ethnography: a preliminary study
Arezoumandan M, Candela L, Castelli D, Ghannadrad A, Mangione D, Pagano P
Virtual Research Environments, Science Gateways and Virtual Laboratories are systems aiming at serving the needs of their designated communities of practice by providing them with a working environment for performing their tasks. These systems have been proposed and exploited in diverse application domains and scopes ranging from education to simulation, collaboration, and open science. This paper analyses the literature published from 2010 to start characterising this manifold family of systems. In particular, the study identified and analysed a corpus of 1167 research papers to highlight their distribution over time, the most frequent publication venues and the characterising topics.DOI: 10.5281/zenodo.7883104
Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Metrics:
Arezoumandan M, Candela L, Castelli D, Ghannadrad A, Mangione D, Pagano P
Virtual Research Environments, Science Gateways and Virtual Laboratories are systems aiming at serving the needs of their designated communities of practice by providing them with a working environment for performing their tasks. These systems have been proposed and exploited in diverse application domains and scopes ranging from education to simulation, collaboration, and open science. This paper analyses the literature published from 2010 to start characterising this manifold family of systems. In particular, the study identified and analysed a corpus of 1167 research papers to highlight their distribution over time, the most frequent publication venues and the characterising topics.DOI: 10.5281/zenodo.7883104
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS | ISTI Repository | ZENODO | CNR IRIS
2022
Other
Open Access
InfraScience research activity report 2021
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bove P, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, La Bruzzo S, Lazzeri E, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Ottonello E, Pagano P, Panichi G, Pavone G, Piccioli T, Sinibaldi F, Straccia U
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus
Metrics:
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bove P, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, La Bruzzo S, Lazzeri E, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Ottonello E, Pagano P, Panichi G, Pavone G, Piccioli T, Sinibaldi F, Straccia U
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus
, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Other
Open Access
InfraScience research activity report 2022
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bove P, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, La Bruzzo S, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Ottonello E, Pagano P, Panichi G, Pavone G, Piccioli T, Sinibaldi F, Straccia U, Zoppi F
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 2022 to highlight the major results. In particular, the InfraScience group confronted with 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 2022 InfraScience members contributed to the publishing of several papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2022/004
Project(s): ARIADNEplus, Blue Cloud , EOSC-Pillar , DESIRA , EOSC Future , RISIS 2 , TAILOR , SoBigData-PlusPlus
Metrics:
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bove P, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, La Bruzzo S, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Ottonello E, Pagano P, Panichi G, Pavone G, Piccioli T, Sinibaldi F, Straccia U, Zoppi F
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 2022 to highlight the major results. In particular, the InfraScience group confronted with 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 2022 InfraScience members contributed to the publishing of several papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2022/004
Project(s): ARIADNEplus
, Blue Cloud , EOSC-Pillar , DESIRA , EOSC Future , RISIS 2 , TAILOR , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS | CNR IRIS
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:
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CNR IRIS