2025
Other
Open Access
Open Research Information: an ethical necessity. OpenAIRE's role in advancing Open Science
Pavone G., Baglioni M., Bardi A., Amodeo S.
Research integrity demands transparency not only in scientific outputs but also in the metadata that describes them. This principle requires that research information is collected through transparent methods and remains open and available for verification, enabling evidence-based monitoring and public decision-making. OpenAIRE maintains a “scholarly knowledge graph” of interconnected research metadata and provides a catalogue of services that support Open Science by facilitating knowledge discovery and research assessment.Project(s): SciLake
Pavone G., Baglioni M., Bardi A., Amodeo S.
Research integrity demands transparency not only in scientific outputs but also in the metadata that describes them. This principle requires that research information is collected through transparent methods and remains open and available for verification, enabling evidence-based monitoring and public decision-making. OpenAIRE maintains a “scholarly knowledge graph” of interconnected research metadata and provides a catalogue of services that support Open Science by facilitating knowledge discovery and research assessment.Project(s): SciLake
See at:
CNR IRIS 
| www.ethics.cnr.it | CNR IRIS 
2025
Conference article
Open Access
ATLAS: Towards a knowledge graph of international scholarly research on the Italian digital cultural heritage
Giacomini S., Bardi A., Buzzoni M., Daquino M., Del Gratta R., Del Grosso A. M., Fischer F., Martignano C., Rosselli Del Turco R., Rubin G., Tomasi F.
In recent years, the abundance of available scholarly information has requested constant development and revision of standardized models and shared guidelines. Based on these frameworks, the Digital Humanities (DH) landscape features a variety of aggregators expected to enhance research data findability while promoting use and reuse. However, current semantic models fail to capture the specificity of DH research products, hindering data discovery and hampering the valorisation of Cultural Heritage. The ATLAS project addresses these key challenges by developing a unified framework for describing and aggregating scholarly outputs, particularly in the Italian Digital Cultural Heritage domain. This paper presents the initial versions of the ATLAS Ontology and Knowledge Graph, designed to model DH outcomes such as Digital Scholarly Editions, text collections, Linked Open Data, ontologies, and software. In so doing, ATLAS aims to enhance resource findability and reuse, paving the way for improved interoperability and future advancements in the field.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3937. Udine, Italy, February 20–21, 2025
Project(s): The ATLAS of Italian Digital Humanities: a dynamic knowledge graph of digital scholarly research on Italian Cultural Heritage
Giacomini S., Bardi A., Buzzoni M., Daquino M., Del Gratta R., Del Grosso A. M., Fischer F., Martignano C., Rosselli Del Turco R., Rubin G., Tomasi F.
In recent years, the abundance of available scholarly information has requested constant development and revision of standardized models and shared guidelines. Based on these frameworks, the Digital Humanities (DH) landscape features a variety of aggregators expected to enhance research data findability while promoting use and reuse. However, current semantic models fail to capture the specificity of DH research products, hindering data discovery and hampering the valorisation of Cultural Heritage. The ATLAS project addresses these key challenges by developing a unified framework for describing and aggregating scholarly outputs, particularly in the Italian Digital Cultural Heritage domain. This paper presents the initial versions of the ATLAS Ontology and Knowledge Graph, designed to model DH outcomes such as Digital Scholarly Editions, text collections, Linked Open Data, ontologies, and software. In so doing, ATLAS aims to enhance resource findability and reuse, paving the way for improved interoperability and future advancements in the field.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3937. Udine, Italy, February 20–21, 2025
Project(s): The ATLAS of Italian Digital Humanities: a dynamic knowledge graph of digital scholarly research on Italian Cultural Heritage
See at:
ceur-ws.org | 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
Conference article
Open Access
The ARIADNEplus Knowledge Base: a Linked Open Data set for archaeological research
Bardi A., Baglioni M., Artini M., Mannocci A., Pavone G.
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources. The ARIADNEplus Knowledge Base (KB) is an archaeological Linked Open Data set modelled according to the ARIADNE ontology, based on CIDOC-CRM, and provided by an international network of organisations leaders in different domains of archaeological sciences. In February 2024, the ARIADNEplus KB features about 4 million archaeological resources. Thanks to the ARIADNE infrastructure, data providers increased the level of fairness of their resources and contributed to a unique asset for the archaeology research community, the European Open Science Cloud and society at large.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3741, pp. 91-100. Viallasimius, Italy, 23-26/06/2024
Project(s): ARIADNEplus, ATRIUM
Bardi A., Baglioni M., Artini M., Mannocci A., Pavone G.
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources. The ARIADNEplus Knowledge Base (KB) is an archaeological Linked Open Data set modelled according to the ARIADNE ontology, based on CIDOC-CRM, and provided by an international network of organisations leaders in different domains of archaeological sciences. In February 2024, the ARIADNEplus KB features about 4 million archaeological resources. Thanks to the ARIADNE infrastructure, data providers increased the level of fairness of their resources and contributed to a unique asset for the archaeology research community, the European Open Science Cloud and society at large.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3741, pp. 91-100. Viallasimius, Italy, 23-26/06/2024
Project(s): ARIADNEplus
, ATRIUM
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
2024
Conference article
Open Access
The ATLAS: a knowledge graph of digital scholarly research on Italian Cultural Heritage
Daquino M., Bardi A., Buzzoni M., Del Gratta R., Del Grosso A. M., Fischer F., Tomasi F., Rosselli Del Turco R.
ATLAS is a research initiative that aims to improve the FAIRness and exploitation of Digital Humanities (DH) projects and scholarly data about Italian Cultural Heritage (CH). This contribution describes the main challenges and opportunities of DH projects related to discoverability, interoperability, and preservation. It also explains the methodology and objectives of ATLAS, which involves the integration and reengineering of metadata from selected sources and software solutions (referred to as pilots within the ATLAS context) into a knowledge graph using Semantic Web and Natural Language Processing technologies. The expected outcomes and impacts of ATLAS, are (i) the definition of guidelines and best practices for DH projects; (ii) the creation of a reference set of excellence initiatives; (iii) the reconciliation of data with authority records and open data sources; (iv) the publication and preservation of the knowledge graph; and (v) the development of a platform for exploration and discovery of DH projects and resources, in synergy with the European Research Infrastructures CLARIN and OpenAIRE.
Daquino M., Bardi A., Buzzoni M., Del Gratta R., Del Grosso A. M., Fischer F., Tomasi F., Rosselli Del Turco R.
ATLAS is a research initiative that aims to improve the FAIRness and exploitation of Digital Humanities (DH) projects and scholarly data about Italian Cultural Heritage (CH). This contribution describes the main challenges and opportunities of DH projects related to discoverability, interoperability, and preservation. It also explains the methodology and objectives of ATLAS, which involves the integration and reengineering of metadata from selected sources and software solutions (referred to as pilots within the ATLAS context) into a knowledge graph using Semantic Web and Natural Language Processing technologies. The expected outcomes and impacts of ATLAS, are (i) the definition of guidelines and best practices for DH projects; (ii) the creation of a reference set of excellence initiatives; (iii) the reconciliation of data with authority records and open data sources; (iv) the publication and preservation of the knowledge graph; and (v) the development of a platform for exploration and discovery of DH projects and resources, in synergy with the European Research Infrastructures CLARIN and OpenAIRE.
See at:
amsacta.unibo.it | CNR IRIS | CNR IRIS
2024
Journal article
Open Access
Il ruolo di OPENAIRE nel promuovere la scienza aperta
Pavone G., Baglioni M., Bardi A., Amodeo S.
L’integrità nella ricerca necessita di trasparenza non solo nel lavoro scientifico, ma anche nei metadati che ne descrivono i risultati. Per questo si parla di “Open Research Information” in riferimento all’insieme delle informazioni aperte sulla ricerca, tra cui i metadati che descrivono i vari prodotti scientifici, i dati bibliografici, le informazioni su finanziamenti, organizzazioni, affiliazioni e così via. Queste informazioni devono essere raccolte con metodi trasparenti, aperte e disponibili per la verifica, consentendo un monitoraggio basato su evidenze e decisioni pubbliche informate. OpenAIRE mantiene un “grafo della conoscenza scientifica”1 composto di metadati di ricerca interconnessi e fornisce un catalogo di servizi a supporto della Open Science2, facilitando ad esempio l’esplorazione dei contenuti scientifici e processi di valutazione basati su dati trasparenti.Source: BIOETICA, pp. 397-400
Project(s): SciLake
Pavone G., Baglioni M., Bardi A., Amodeo S.
L’integrità nella ricerca necessita di trasparenza non solo nel lavoro scientifico, ma anche nei metadati che ne descrivono i risultati. Per questo si parla di “Open Research Information” in riferimento all’insieme delle informazioni aperte sulla ricerca, tra cui i metadati che descrivono i vari prodotti scientifici, i dati bibliografici, le informazioni su finanziamenti, organizzazioni, affiliazioni e così via. Queste informazioni devono essere raccolte con metodi trasparenti, aperte e disponibili per la verifica, consentendo un monitoraggio basato su evidenze e decisioni pubbliche informate. OpenAIRE mantiene un “grafo della conoscenza scientifica”1 composto di metadati di ricerca interconnessi e fornisce un catalogo di servizi a supporto della Open Science2, facilitando ad esempio l’esplorazione dei contenuti scientifici e processi di valutazione basati su dati trasparenti.Source: BIOETICA, pp. 397-400
Project(s): SciLake
2024
Dataset
Open Access
OpenAIRE Graph Dataset v8.0.0 (July 2024)
Manghi P., Atzori C., Bardi A., Baglioni M., Dimitropoulos H., La Bruzzo S., Foufoulas I., Mannocci A., Horst M., Iatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Lempesis A., Ioannidis A., Manola N., Principe P., Vergoulis T., Chatzopoulos S.
The OpenAIRE Graph is a large and rich collection of open and linked scholarly records from trusted data sources, such as journals, repositories, and registries. It aims to foster Open Science practices and enable the scientific community to discover, monitor, and evaluate science. The Graph is cleaned, deduplicated, enriched, and full-text mined to generate statistics and insights. The Graph is accessible via various services, such as OpenAIRE MONITOR, EXPLORE, ScholeXplorer (Scholix API for the retrieval of literature-data links), search APIs and snapshots in json format updated every six months. The Graph data are openly available with CC-BY license for third-parties to reuse and create added value services. The documentation is available at: https://graph.openaire.euDOI: 10.5281/zenodo.12819872
Project(s): FAIRCORE4EOSC, SciLake , EOSC Beyond , GraspOS , OSTrails
Metrics:
Manghi P., Atzori C., Bardi A., Baglioni M., Dimitropoulos H., La Bruzzo S., Foufoulas I., Mannocci A., Horst M., Iatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Lempesis A., Ioannidis A., Manola N., Principe P., Vergoulis T., Chatzopoulos S.
The OpenAIRE Graph is a large and rich collection of open and linked scholarly records from trusted data sources, such as journals, repositories, and registries. It aims to foster Open Science practices and enable the scientific community to discover, monitor, and evaluate science. The Graph is cleaned, deduplicated, enriched, and full-text mined to generate statistics and insights. The Graph is accessible via various services, such as OpenAIRE MONITOR, EXPLORE, ScholeXplorer (Scholix API for the retrieval of literature-data links), search APIs and snapshots in json format updated every six months. The Graph data are openly available with CC-BY license for third-parties to reuse and create added value services. The documentation is available at: https://graph.openaire.euDOI: 10.5281/zenodo.12819872
Project(s): FAIRCORE4EOSC
, SciLake , EOSC Beyond , GraspOS , OSTrails Metrics:
See at:
CNR IRIS | zenodo.org | CNR IRIS
2024
Other
Open Access
Aurora Open Science training - Discover and enhance collaboration
Malaguarnera G., Bardi A.
Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions, and learned societies. But what does making your research open, transparent, and reproducible mean in practice? How can you discover relevant work and make your work visible to others to enhance collaboration? The Aurora Universities are organising a series of online workshops on different aspects of Open Science to answer and discuss some of these questions. This session will be provided by our friends from OpenAIRE, an Open Science service provider. Come and learn more about how to Open up your Science! Find the registration button at the bottom of this page. What is this workshop about? In this online session on February 21st from 10.00-12.30 (Central European Time), we will discuss the following topics: - Discover and Link open publications, data, software and more in the AURORA portal and Enhance collaboration- Tips and tricks in discovery (OpenLens)- Create your researchers profile in BIP!Scholar- There will be plenty of opportunities for questions and open discussion Who should attend? This event series brings together researchers and interested research support staff from all subject areas. Early career researchers, as well as experienced academics, are welcome to attend.DOI: 10.5281/zenodo.10688661
Metrics:
Malaguarnera G., Bardi A.
Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions, and learned societies. But what does making your research open, transparent, and reproducible mean in practice? How can you discover relevant work and make your work visible to others to enhance collaboration? The Aurora Universities are organising a series of online workshops on different aspects of Open Science to answer and discuss some of these questions. This session will be provided by our friends from OpenAIRE, an Open Science service provider. Come and learn more about how to Open up your Science! Find the registration button at the bottom of this page. What is this workshop about? In this online session on February 21st from 10.00-12.30 (Central European Time), we will discuss the following topics: - Discover and Link open publications, data, software and more in the AURORA portal and Enhance collaboration- Tips and tricks in discovery (OpenLens)- Create your researchers profile in BIP!Scholar- There will be plenty of opportunities for questions and open discussion Who should attend? This event series brings together researchers and interested research support staff from all subject areas. Early career researchers, as well as experienced academics, are welcome to attend.DOI: 10.5281/zenodo.10688661
Metrics:
2023
Contribution to book
Open Access
A primer on open science-driven repository platforms
Bardi A, Manghi P, Mannocci A, Ottonello E, Pavone G
Following Open Science mandates, institutions and communities increasingly demand repositories with native support for publishing scientific literature together with research data, software, and other research products. Such repositories may be thematic or general-purpose and are deeply integrated with the scholarly communication ecosystem to ensure versioning, persistent identifiers, data curation, usage stats, and so on. Identifying the most suitable off-the-shelf repository platform is often a non-trivial task as the choice depends on functional requirements, programming and technical skills, and infrastructure resources. This work analyses four state-of-the-art Open Source repository platforms, namely Dryad, Dataverse, DSpace, and InvenioRDM, from both a functional and a software perspective. This work intends to provide an overview serving as a primer for choosing repository platform solutions in different application scenarios. Moreover, this paper highlights how these platforms reacted to some key Open Science demands, moving away from the original and old-fashioned concept of a repository serving as a static container of files and metadata.DOI: 10.1007/978-3-031-39141-5_19
Project(s): OpenAIRE Nexus
Metrics:
Bardi A, Manghi P, Mannocci A, Ottonello E, Pavone G
Following Open Science mandates, institutions and communities increasingly demand repositories with native support for publishing scientific literature together with research data, software, and other research products. Such repositories may be thematic or general-purpose and are deeply integrated with the scholarly communication ecosystem to ensure versioning, persistent identifiers, data curation, usage stats, and so on. Identifying the most suitable off-the-shelf repository platform is often a non-trivial task as the choice depends on functional requirements, programming and technical skills, and infrastructure resources. This work analyses four state-of-the-art Open Source repository platforms, namely Dryad, Dataverse, DSpace, and InvenioRDM, from both a functional and a software perspective. This work intends to provide an overview serving as a primer for choosing repository platform solutions in different application scenarios. Moreover, this paper highlights how these platforms reacted to some key Open Science demands, moving away from the original and old-fashioned concept of a repository serving as a static container of files and metadata.DOI: 10.1007/978-3-031-39141-5_19
Project(s): OpenAIRE Nexus
Metrics:
See at:
CNR IRIS | link.springer.com | ISTI Repository | CNR IRIS | CNR IRIS | CNR IRIS
2023
Journal article
Open Access
What are researchers' needs in data discovery? Analysis and ranking of a large-scale collection of crowdsourced use cases
Mathiak B, Juty N, Bardi A, Colomb J, Kraker P
Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users' wishes. This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 'topics' and eight types of users. While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements. Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.Source: DATA SCIENCE JOURNAL, vol. 22 (issue 1)
DOI: 10.5334/dsj-2023-003
Project(s): OpenAIRE-Advance
Metrics:
Mathiak B, Juty N, Bardi A, Colomb J, Kraker P
Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users' wishes. This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 'topics' and eight types of users. While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements. Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.Source: DATA SCIENCE JOURNAL, vol. 22 (issue 1)
DOI: 10.5334/dsj-2023-003
Project(s): OpenAIRE-Advance
Metrics:
See at:
datascience.codata.org | CNR IRIS | ISTI Repository | CNR IRIS
2023
Book
Open Access
Foreword to the IRCDL 2023 proceedings
Bardi A, Ferilli S, Marchesin S, Redavid D
Foreword to the IRCDL 2023 - 19th IRCDL: The Conference on Information and Research science Connecting to Digital and Library science 2023Proceedings (Bari, Italy, 23-24 February 2023).Source: CEUR WORKSHOP PROCEEDINGS
Bardi A, Ferilli S, Marchesin S, Redavid D
Foreword to the IRCDL 2023 - 19th IRCDL: The Conference on Information and Research science Connecting to Digital and Library science 2023Proceedings (Bari, Italy, 23-24 February 2023).Source: CEUR WORKSHOP PROCEEDINGS
See at:
ceur-ws.org | CNR IRIS | CNR IRIS
2023
Journal article
Open Access
ARIADNE: A data infrastructure for the archaeological research community
Bardi A, Assante M, Mangiacrapa F
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.Source: ERCIM NEWS, vol. 133, pp. 8-9
Project(s): ARIADNEplus
Bardi A, Assante M, Mangiacrapa F
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.Source: ERCIM NEWS, vol. 133, pp. 8-9
Project(s): ARIADNEplus
See at:
ercim-news.ercim.eu | CNR IRIS | ISTI Repository | CNR IRIS
2023
Journal article
Open Access
Boosting Open Science in the IPERION HS research infrastructure with OpenAIRE
Bardi A, Benassi L
IPERION HS is a research infrastructure that supports researchers in the field of heritage science, an interdisciplinary domain studying cultural and natural tangible heritage. This article describes how IPERION HS makes the research outputs open and accessible to the community and monitors its impact thanks to the services offered by the OpenAIRE infrastructure.Source: ERCIM NEWS, pp. 9-10
Project(s): IPERION HS, OpenAIRE Nexus
Bardi A, Benassi L
IPERION HS is a research infrastructure that supports researchers in the field of heritage science, an interdisciplinary domain studying cultural and natural tangible heritage. This article describes how IPERION HS makes the research outputs open and accessible to the community and monitors its impact thanks to the services offered by the OpenAIRE infrastructure.Source: ERCIM NEWS, pp. 9-10
Project(s): IPERION HS
, OpenAIRE Nexus
See at:
ercim-news.ercim.eu | CNR IRIS | ISTI Repository | CNR IRIS
2023
Conference article
Open Access
A discovery hub for Diamond Open Access publishing
Bardi A, Bargheer M, Manghi P
Open Access (OA) publishing is the set of practices thanks to which research publications are accessible freely without barriers. With Diamond Open Access, authors can publish free of charge as the institutional sector with universities, research institutions or libraries provide the necessary technological infrastructure. However, the Diamond OA landscape continues to be fragmented, is often underfunded, and is not always technically proficient enough to develop its full potential for science and society. The CRAFT-OA project, started in January 2023, aims to consolidate the Diamond OA publishing landscape both from the technical and organisational point of views. In this paper we describe the context and architecture of the Diamond Discovery Hub that will be released by the project to increase visibility, discoverability and recognition of Diamond OA institutional publishers and their content. The Diamond Discovery Hub will facilitate the integration with the wider scholarly communication ecosystem and the European Open Science Cloud to enlarge visibility, discoverability and reach of open access publications as part of the emerging Open Science paradigm.Source: CEUR WORKSHOP PROCEEDINGS, pp. 162-166. Bari, Italy, 23-24/02/2023
Bardi A, Bargheer M, Manghi P
Open Access (OA) publishing is the set of practices thanks to which research publications are accessible freely without barriers. With Diamond Open Access, authors can publish free of charge as the institutional sector with universities, research institutions or libraries provide the necessary technological infrastructure. However, the Diamond OA landscape continues to be fragmented, is often underfunded, and is not always technically proficient enough to develop its full potential for science and society. The CRAFT-OA project, started in January 2023, aims to consolidate the Diamond OA publishing landscape both from the technical and organisational point of views. In this paper we describe the context and architecture of the Diamond Discovery Hub that will be released by the project to increase visibility, discoverability and recognition of Diamond OA institutional publishers and their content. The Diamond Discovery Hub will facilitate the integration with the wider scholarly communication ecosystem and the European Open Science Cloud to enlarge visibility, discoverability and reach of open access publications as part of the emerging Open Science paradigm.Source: CEUR WORKSHOP PROCEEDINGS, pp. 162-166. Bari, Italy, 23-24/02/2023
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | CNR IRIS
2023
Journal article
Open Access
Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph
Papadopoulou E, Bardi A, Kakaletris G, Tziotzios D, Manghi P, Manola N
Open Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects, people, research outcomes, institutions) and the relationships among them. They present a contextualized view of current research that supports discovery, re-use, reproducibility, monitoring, transparency and omni-comprehensive assessment. A Data Management Plan (DMP) contains information concerning both the research processes and the data collected, generated and/or re-used during a project's lifetime. Automated solutions and workflows that connect DMPs with the actual data and other contextual information (e.g., publications, fundings) are missing from the landscape. DMPs being submitted as deliverables also limit their findability. In an open and FAIR-enabling research ecosystem information linking between research processes and research outputs is essential. ARGOS tool for FAIR data management contributes to the OpenAIRE Research Graph (RG) and utilises its underlying services and trusted sources to progressively automate validation and automations of Research Data Management (RDM) practices.Source: JOURNAL OF BIOMEDICAL SEMANTICS, vol. 14 (issue 17)
DOI: 10.1186/s13326-023-00297-5
Metrics:
Papadopoulou E, Bardi A, Kakaletris G, Tziotzios D, Manghi P, Manola N
Open Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects, people, research outcomes, institutions) and the relationships among them. They present a contextualized view of current research that supports discovery, re-use, reproducibility, monitoring, transparency and omni-comprehensive assessment. A Data Management Plan (DMP) contains information concerning both the research processes and the data collected, generated and/or re-used during a project's lifetime. Automated solutions and workflows that connect DMPs with the actual data and other contextual information (e.g., publications, fundings) are missing from the landscape. DMPs being submitted as deliverables also limit their findability. In an open and FAIR-enabling research ecosystem information linking between research processes and research outputs is essential. ARGOS tool for FAIR data management contributes to the OpenAIRE Research Graph (RG) and utilises its underlying services and trusted sources to progressively automate validation and automations of Research Data Management (RDM) practices.Source: JOURNAL OF BIOMEDICAL SEMANTICS, vol. 14 (issue 17)
DOI: 10.1186/s13326-023-00297-5
Metrics:
See at:
CNR IRIS | jbiomedsem.biomedcentral.com | CNR IRIS
2023
Other
Open Access
OpenAIRE, comunità e servizi per praticare la scienza aperta
Pavone G, Atzori C, Baglioni M, Bardi A, Manghi P, Castelli D
Per praticare la ricerca secondo i principi dell'Open Science sono al contempo necessarie tecnologie - con infrastrutture che consentano e facilitino la collaborazione e lo scambio massivo di informazioni su scala internazionale - e competenze che permettano di massimizzarne uso e risultati. In altre parole occorrono servizi, scambio di competenze e formazione. Su queste direttrici si concentra il lavoro di OpenAIRE (Open Access Infrastructure for Research in Europe), l'infrastruttura europea per la Scienza Aperta che offre servizi tecnologici e una rete europea di scambio e sinergia per favorire la scienza aperta. Avviata come progetto europeo nel 2009 per il monitoraggio dell'Open Access, nel corso degli anni l'iniziativa è stata rifinanziata e il suo ambito di interesse esteso a tutte le componenti dell'Open Science. Nel 2018 si è costituita come organizzazione senza scopo di lucro per garantire una struttura permanente a supporto delle politiche nazionali ed europee per l'Open Science. Il network di OpenAIRE conta oltre 40 membri tra centri di ricerca, università, fondazioni ed enti gestori di servizi distribuiti in tutta Europa. Come comunità di pratica, OpenAIRE ha la missione di costituire e gestire un'infrastruttura che supporti una comunicazione scientifica aperta e sostenibile, fornendo i servizi, le risorse e il coordinamento di iniziative ed esperti necessari per implementare un ambiente comune europeo per la scienza aperta. Per realizzare questa visione, OpenAIRE offre servizi tecnologici, di training e di supporto, coprendo l'intero ciclo di vita della ricerca (la lista completa dei servizi è consultabile su catalogue.openaire.eu). I servizi tecnologici spaziano dalla gestione dei dati al discovery, dalla gestione di riviste al monitoraggio dei risultati della ricerca e dell'adozione di pratiche Open Science. Inoltre la rete internazionale dei NOAD (National Open Access Desk: openaire.eu/contact-noads) promuove la scienza aperta fornendo assistenza e formazione a vari livelli. L'obiettivo è abilitare i vari attori coinvolti nell'attività scientifica nelle pratiche dell'open science e dell'open access organizzando workshop nazionali e training dedicati. I NOADs inoltre forniscono consulenza esperta sulle infrastrutture che supportano i flussi di lavoro per la scienza aperta, nonché per la definizione di politiche per la sua implementazione, quali stesura e aggiornamento di policies istituzionali, individuazione degli obblighi normativi, di adempimenti relativi ai finanziamenti o di strumenti per il Data Management Plan (DMP). Il CNR, in particolare il suo istituto ISTI, in qualità di centro di sviluppo e innovazione tecnologica dell'infrastruttura e di gestore del NOAD Italiano, opera in accordo con la missione di OpenAIRE contribuendo in modo significativo alle sue attività e agli organismi di governo. L'ente offre dunque le sue competenze per garantire il mantenimento, l'operatività e l'innovazione dell'infrastruttura partecipando in iniziative e progetti che contribuiscono alla sostenibilità e all'innovazione dei servizi di questa infrastruttura. Come NOAD, offre formazione e supporto per affrontare problematiche quali la definizione di DMP, il rispetto dei principi "FAIR" per la gestione dei dati, e la stesura di politiche istituzionali. Le attività sono portate avanti in collaborazione con i NOAD in altri paesi europei in modo da massimizzare l'integrazione di soluzioni e politiche a livello europeo.
Pavone G, Atzori C, Baglioni M, Bardi A, Manghi P, Castelli D
Per praticare la ricerca secondo i principi dell'Open Science sono al contempo necessarie tecnologie - con infrastrutture che consentano e facilitino la collaborazione e lo scambio massivo di informazioni su scala internazionale - e competenze che permettano di massimizzarne uso e risultati. In altre parole occorrono servizi, scambio di competenze e formazione. Su queste direttrici si concentra il lavoro di OpenAIRE (Open Access Infrastructure for Research in Europe), l'infrastruttura europea per la Scienza Aperta che offre servizi tecnologici e una rete europea di scambio e sinergia per favorire la scienza aperta. Avviata come progetto europeo nel 2009 per il monitoraggio dell'Open Access, nel corso degli anni l'iniziativa è stata rifinanziata e il suo ambito di interesse esteso a tutte le componenti dell'Open Science. Nel 2018 si è costituita come organizzazione senza scopo di lucro per garantire una struttura permanente a supporto delle politiche nazionali ed europee per l'Open Science. Il network di OpenAIRE conta oltre 40 membri tra centri di ricerca, università, fondazioni ed enti gestori di servizi distribuiti in tutta Europa. Come comunità di pratica, OpenAIRE ha la missione di costituire e gestire un'infrastruttura che supporti una comunicazione scientifica aperta e sostenibile, fornendo i servizi, le risorse e il coordinamento di iniziative ed esperti necessari per implementare un ambiente comune europeo per la scienza aperta. Per realizzare questa visione, OpenAIRE offre servizi tecnologici, di training e di supporto, coprendo l'intero ciclo di vita della ricerca (la lista completa dei servizi è consultabile su catalogue.openaire.eu). I servizi tecnologici spaziano dalla gestione dei dati al discovery, dalla gestione di riviste al monitoraggio dei risultati della ricerca e dell'adozione di pratiche Open Science. Inoltre la rete internazionale dei NOAD (National Open Access Desk: openaire.eu/contact-noads) promuove la scienza aperta fornendo assistenza e formazione a vari livelli. L'obiettivo è abilitare i vari attori coinvolti nell'attività scientifica nelle pratiche dell'open science e dell'open access organizzando workshop nazionali e training dedicati. I NOADs inoltre forniscono consulenza esperta sulle infrastrutture che supportano i flussi di lavoro per la scienza aperta, nonché per la definizione di politiche per la sua implementazione, quali stesura e aggiornamento di policies istituzionali, individuazione degli obblighi normativi, di adempimenti relativi ai finanziamenti o di strumenti per il Data Management Plan (DMP). Il CNR, in particolare il suo istituto ISTI, in qualità di centro di sviluppo e innovazione tecnologica dell'infrastruttura e di gestore del NOAD Italiano, opera in accordo con la missione di OpenAIRE contribuendo in modo significativo alle sue attività e agli organismi di governo. L'ente offre dunque le sue competenze per garantire il mantenimento, l'operatività e l'innovazione dell'infrastruttura partecipando in iniziative e progetti che contribuiscono alla sostenibilità e all'innovazione dei servizi di questa infrastruttura. Come NOAD, offre formazione e supporto per affrontare problematiche quali la definizione di DMP, il rispetto dei principi "FAIR" per la gestione dei dati, e la stesura di politiche istituzionali. Le attività sono portate avanti in collaborazione con i NOAD in altri paesi europei in modo da massimizzare l'integrazione di soluzioni e politiche a livello europeo.
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
Open Access
OpenAIRE Graph: una risorsa aperta per la scienza aperta
Atzori C, Bardi A, Baglioni M, Manghi P
OpenAIRE Graph (OAG) is a knowledge graph that aggregates information (metadata, relationships) about different entities in the research world, such as publications, datasets, software, funded projects, repositories, and organisations. These entities are interconnected through semantic relationships, such as citations, supplements, similarity, and participation in projects. OAG is an open resource that can be used by funders, organisations, researchers, research communities, and publishers to gain a better understanding of the research landscape and dynamics at various levels, both local and global. As an open and freely accessible resource, produced in accordance with the fundamental values of Open Science as outlined in the UNESCO Recommendation on Open Science, OAG overcomes the use of proprietary data sources, supporting the reform of research assessment, researchers, and organisations as envisaged by the Coalition for Advancing Research Assessment (CoARA). OAG is built from bibliographic records obtained from well-known sources such as Crossref, open access journals registered in DOAJ (Directory of Open Access Journals), ORCID, Microsoft Academic Graph, Datacite, as well as from over 1,000 institutional repositories. The metadata of research products contained in the graph are disambiguated and enriched through full-text and data mining processes, making OAG usable for a variety of purposes, including: Research discovery Research assessment Analysis and/or prediction of research collaborations Support for research policy decision-making OAG is a freely accessible resource: search and discovery features are available through the explore.openaire.eu portal, programmatic integration is available through the HTTP Search API, the complete dataset, as well as other datasets that offer specialised views, are available on Zenodo. The monitor.openaire.eu portal hosts several dashboards dedicated to research organisations and funders that include the results of statistical, bibliometrics, and indicator analyses. Additional information is available at https://graph.openaire.eu, where the data models to which the datasets conform, API documentation, as well as the methodological approach used to build and process OAG are described. OAG can play a significant role in research assessment by providing a more comprehensive and accurate view of research output and impact. By aggregating data from a variety of sources, OAG can provide a more holistic picture of a researcher's or organization's research activities. This can help to identify areas of strength and weakness, as well as potential areas for collaboration. OAG can also be used to track the impact of research over time. By tracking citations, downloads, and other forms of engagement, OAG can help to measure the influence of research and the impact it has on society. This information can be used to inform research funding decisions, as well as to promote the dissemination of research findings. In addition to its quantitative measures, OAG can also provide qualitative insights into research. By analyzing the relationships between different research products, OAG can help to identify emerging trends and areas of collaboration. This information can be used to support research policy development and to promote the cross-fertilization of ideas. In conclusion, OAG is a powerful tool that has the potential to revolutionise the way research is assessed. By providing a more comprehensive and accurate view of research output and impact, OAG can help to make research assessment more fair, transparent, and equitable.
Atzori C, Bardi A, Baglioni M, Manghi P
OpenAIRE Graph (OAG) is a knowledge graph that aggregates information (metadata, relationships) about different entities in the research world, such as publications, datasets, software, funded projects, repositories, and organisations. These entities are interconnected through semantic relationships, such as citations, supplements, similarity, and participation in projects. OAG is an open resource that can be used by funders, organisations, researchers, research communities, and publishers to gain a better understanding of the research landscape and dynamics at various levels, both local and global. As an open and freely accessible resource, produced in accordance with the fundamental values of Open Science as outlined in the UNESCO Recommendation on Open Science, OAG overcomes the use of proprietary data sources, supporting the reform of research assessment, researchers, and organisations as envisaged by the Coalition for Advancing Research Assessment (CoARA). OAG is built from bibliographic records obtained from well-known sources such as Crossref, open access journals registered in DOAJ (Directory of Open Access Journals), ORCID, Microsoft Academic Graph, Datacite, as well as from over 1,000 institutional repositories. The metadata of research products contained in the graph are disambiguated and enriched through full-text and data mining processes, making OAG usable for a variety of purposes, including: Research discovery Research assessment Analysis and/or prediction of research collaborations Support for research policy decision-making OAG is a freely accessible resource: search and discovery features are available through the explore.openaire.eu portal, programmatic integration is available through the HTTP Search API, the complete dataset, as well as other datasets that offer specialised views, are available on Zenodo. The monitor.openaire.eu portal hosts several dashboards dedicated to research organisations and funders that include the results of statistical, bibliometrics, and indicator analyses. Additional information is available at https://graph.openaire.eu, where the data models to which the datasets conform, API documentation, as well as the methodological approach used to build and process OAG are described. OAG can play a significant role in research assessment by providing a more comprehensive and accurate view of research output and impact. By aggregating data from a variety of sources, OAG can provide a more holistic picture of a researcher's or organization's research activities. This can help to identify areas of strength and weakness, as well as potential areas for collaboration. OAG can also be used to track the impact of research over time. By tracking citations, downloads, and other forms of engagement, OAG can help to measure the influence of research and the impact it has on society. This information can be used to inform research funding decisions, as well as to promote the dissemination of research findings. In addition to its quantitative measures, OAG can also provide qualitative insights into research. By analyzing the relationships between different research products, OAG can help to identify emerging trends and areas of collaboration. This information can be used to support research policy development and to promote the cross-fertilization of ideas. In conclusion, OAG is a powerful tool that has the potential to revolutionise the way research is assessed. By providing a more comprehensive and accurate view of research output and impact, OAG can help to make research assessment more fair, transparent, and equitable.
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
Open Access
Community building con OpenAIRE CONNECT
Bardi A, Baglioni M
Le comunità di ricerca, le reti universitarie, le infrastrutture di ricerca mirano a massimizzare il loro impatto sulla ricerca e sulla società e a dotare i loro ricercatori di strumenti comuni, politiche e linee guida condivise per migliorare la qualità della ricerca. Tuttavia, spesso non è facile ottenere la visibilità che meritano nei confronti degli enti finanziatori o del personale di ricerca. Analizzando il panorama attuale è possibile identificare un insieme di attività strategiche: 1. Ampia diffusione di tutte le attività e dei risultati dei ricercatori sia all'interno che al di fuori della propria comunità; 2. Monitoraggio dei risultati della ricerca della comunità; 3. Promozione e monitoraggio dell'adozione delle pratiche di Open Science (ad es. dati FAIR e pubblicazione in Open Access); 4. Monitoraggio dell'aderenza alle politiche condivise e alle best practices del dominio; 5. Centralizzazione della fornitura di servizi condivisi per ridurre i costi e raggiungere un maggior numero di utenti (ad es. per programmi di formazione rivolti a responsabili della ricerca, amministratori, ricercatori, studenti). Queste attività non sono semplici da realizzare in modo sostenibile. Spesso, il monitoraggio dei risultati della ricerca viene fatto manualmente, richiedendo molto sforzo per comunicare con ogni membro della comunità (sia persone che organizzazioni), garantire la qualità e armonizzare i dati raccolti in modo che possano essere diffusi e/o analizzati. Un altro problema comune è monitorare l'adozione delle pratiche di pubblicazione Open Science dei ricercatori, identificare le lacune e preparare tutorial e formazione per supportarli. OpenAIRE, un'infrastruttura di comunicazione scientifica impegnata nella promozione dell'Open Science, sta collaborando con diverse alleanze di università (ad es. Aurora, EUT+, EUTOPIA, FIT FORTHEM), infrastrutture di ricerca (ad es. EMBRC, IPERION-HS, DARIAH) e comunità specifiche del dominio (ad es. scienze marine, neuroinformatica) per affrontare queste sfide. Dal punto di vista tecnico, OpenAIRE opera il servizio CONNECT (https://connect.openaire.eu), attraverso il quale una comunità può avere un gateway personalizzabile dove scoprire tutti i prodotti della ricerca della comunità tramite un unico punto di accesso e servizi per facilitare l'adozione e il monitoraggio delle pratiche di Open Science. Dal punto di vista della formazione, le collaborazioni ci danno l'opportunità di arricchire e scambiare materiale formativo, competenze e impostare una strategia di disseminazione congiunta per migliorare ulteriormente la visibilità all'interno delle comunità, della rete OpenAIRE e oltre. La demo presenterà uno dei gateway pubblici per mostrare tutte le funzionalità integrate disponibili agli utenti, fra cui: cercare i prodotti della ricerca, collegarli tra loro e con i progetti che li hanno finanziati, cercare repository Open Access per depositare qualsiasi tipo di prodotto della ricerca, l'integrazione con il servizio ORCID. Presenterà anche la dashboard di amministrazione che può essere utilizzata dai curatori della comunità per configurare il gateway in termini di contenuti e aspetto.
Bardi A, Baglioni M
Le comunità di ricerca, le reti universitarie, le infrastrutture di ricerca mirano a massimizzare il loro impatto sulla ricerca e sulla società e a dotare i loro ricercatori di strumenti comuni, politiche e linee guida condivise per migliorare la qualità della ricerca. Tuttavia, spesso non è facile ottenere la visibilità che meritano nei confronti degli enti finanziatori o del personale di ricerca. Analizzando il panorama attuale è possibile identificare un insieme di attività strategiche: 1. Ampia diffusione di tutte le attività e dei risultati dei ricercatori sia all'interno che al di fuori della propria comunità; 2. Monitoraggio dei risultati della ricerca della comunità; 3. Promozione e monitoraggio dell'adozione delle pratiche di Open Science (ad es. dati FAIR e pubblicazione in Open Access); 4. Monitoraggio dell'aderenza alle politiche condivise e alle best practices del dominio; 5. Centralizzazione della fornitura di servizi condivisi per ridurre i costi e raggiungere un maggior numero di utenti (ad es. per programmi di formazione rivolti a responsabili della ricerca, amministratori, ricercatori, studenti). Queste attività non sono semplici da realizzare in modo sostenibile. Spesso, il monitoraggio dei risultati della ricerca viene fatto manualmente, richiedendo molto sforzo per comunicare con ogni membro della comunità (sia persone che organizzazioni), garantire la qualità e armonizzare i dati raccolti in modo che possano essere diffusi e/o analizzati. Un altro problema comune è monitorare l'adozione delle pratiche di pubblicazione Open Science dei ricercatori, identificare le lacune e preparare tutorial e formazione per supportarli. OpenAIRE, un'infrastruttura di comunicazione scientifica impegnata nella promozione dell'Open Science, sta collaborando con diverse alleanze di università (ad es. Aurora, EUT+, EUTOPIA, FIT FORTHEM), infrastrutture di ricerca (ad es. EMBRC, IPERION-HS, DARIAH) e comunità specifiche del dominio (ad es. scienze marine, neuroinformatica) per affrontare queste sfide. Dal punto di vista tecnico, OpenAIRE opera il servizio CONNECT (https://connect.openaire.eu), attraverso il quale una comunità può avere un gateway personalizzabile dove scoprire tutti i prodotti della ricerca della comunità tramite un unico punto di accesso e servizi per facilitare l'adozione e il monitoraggio delle pratiche di Open Science. Dal punto di vista della formazione, le collaborazioni ci danno l'opportunità di arricchire e scambiare materiale formativo, competenze e impostare una strategia di disseminazione congiunta per migliorare ulteriormente la visibilità all'interno delle comunità, della rete OpenAIRE e oltre. La demo presenterà uno dei gateway pubblici per mostrare tutte le funzionalità integrate disponibili agli utenti, fra cui: cercare i prodotti della ricerca, collegarli tra loro e con i progetti che li hanno finanziati, cercare repository Open Access per depositare qualsiasi tipo di prodotto della ricerca, l'integrazione con il servizio ORCID. Presenterà anche la dashboard di amministrazione che può essere utilizzata dai curatori della comunità per configurare il gateway in termini di contenuti e aspetto.
See at:
CNR IRIS | zenodo.org | 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:
See at:
CNR IRIS