2023
Report
Unknown
InfraScience research activity report 2023
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim A. S. T., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Pagano P., Panichi G., Paratore M. T., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Vannini G. L.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Reports, 2023
DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR
Metrics:
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim A. S. T., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Pagano P., Panichi G., Paratore M. T., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Vannini G. L.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Reports, 2023
DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR Metrics:
See at: CNR ExploRA
2022
Report
Open Access
Open Science repository platforms
Manghi P., Artini M., La Bruzzo S., Ottonello E., Pavone G.
Institutional and thematic repositories today play a key role in scholarly communication and more broadly in scientific workflows. Many institutions and communities have set the ambitious goal of providing an open access repository for their community of users. However, given the amount of expectations from their users, choosing the right solution is often a non-trivial choice. Some platforms may be served out-of-the-box, to be put in operation after straightforward configurations, but are in general less customizable to adhere to specific functional, non-functional, or contextual needs. Other platforms may be instead extremely customizable and flexible but require skilled personnel for their adaptation and deployment. This report performs an analysis of existing state-of-the-art Open Source repository solutions from the functional, operational, and software perspectives. As a result of the analysis, it will factor out the pros and cons of such solutions and identify typical scenarios of adoption.Source: ISTI Technical Report, ISTI-2022-TR/009, 2022
DOI: 10.32079/isti-tr-2022/009
Project(s): OpenAIRE Nexus
Metrics:
Manghi P., Artini M., La Bruzzo S., Ottonello E., Pavone G.
Institutional and thematic repositories today play a key role in scholarly communication and more broadly in scientific workflows. Many institutions and communities have set the ambitious goal of providing an open access repository for their community of users. However, given the amount of expectations from their users, choosing the right solution is often a non-trivial choice. Some platforms may be served out-of-the-box, to be put in operation after straightforward configurations, but are in general less customizable to adhere to specific functional, non-functional, or contextual needs. Other platforms may be instead extremely customizable and flexible but require skilled personnel for their adaptation and deployment. This report performs an analysis of existing state-of-the-art Open Source repository solutions from the functional, operational, and software perspectives. As a result of the analysis, it will factor out the pros and cons of such solutions and identify typical scenarios of adoption.Source: ISTI Technical Report, ISTI-2022-TR/009, 2022
DOI: 10.32079/isti-tr-2022/009
Project(s): OpenAIRE Nexus
Metrics:
See at:
ISTI Repository 
| CNR ExploRA
2022
Report
Open Access
Bioschemas data sources aggregation to OpenAIRE Research Graph
Ottonello E., Artini M., La Bruzzo S., Pavone G.
In this report we propose an extended Hadoop-based aggregator for the harvesting of Bioschemas data sources. In this extended hadoop-based aggregator, the downloaded data will be processed according to the consolidated data flow: the original contents will be mapped onto an internal representation that will make them eligible to be integrated in the OpenAIRE research graph.Source: ISTI Technical Report, ISTI-2022-TR/010, 2022
DOI: 10.32079/isti-tr-2022/010
Project(s): EOSC Future, OpenAIRE Nexus
Metrics:
Ottonello E., Artini M., La Bruzzo S., Pavone G.
In this report we propose an extended Hadoop-based aggregator for the harvesting of Bioschemas data sources. In this extended hadoop-based aggregator, the downloaded data will be processed according to the consolidated data flow: the original contents will be mapped onto an internal representation that will make them eligible to be integrated in the OpenAIRE research graph.Source: ISTI Technical Report, ISTI-2022-TR/010, 2022
DOI: 10.32079/isti-tr-2022/010
Project(s): EOSC Future
, OpenAIRE Nexus Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
InfraScience research activity report 2021
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bove P., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Ottonello E., Pagano P., Panichi G., Pavone G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual report, 2022
DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus
Metrics:
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bove P., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Ottonello E., Pagano P., Panichi G., Pavone G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual report, 2022
DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus
, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Software
Unknown
dnet-dedup framework
Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Dell'Amico A., La Bruzzo S. F., Mannocci A., Manghi P.
The GDup Software enables an integrated, scalable, general-purpose system for entity deduplication over big information graphs. GDup supports practitioners with the functionalities needed to realize a fully-fledged entity deduplication workflow over a generic input graph, including Ground Truth support, end-user feedback, and strategies for identifying and merging duplicates to obtain an output disambiguated graph. GDup is today one of the core components of the OpenAIRE infrastructure production system, monitoring Open Science trends on behalf of the European Commission.Project(s): OpenAIRE-Advance, OpenAIRE Nexus
Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Dell'Amico A., La Bruzzo S. F., Mannocci A., Manghi P.
The GDup Software enables an integrated, scalable, general-purpose system for entity deduplication over big information graphs. GDup supports practitioners with the functionalities needed to realize a fully-fledged entity deduplication workflow over a generic input graph, including Ground Truth support, end-user feedback, and strategies for identifying and merging duplicates to obtain an output disambiguated graph. GDup is today one of the core components of the OpenAIRE infrastructure production system, monitoring Open Science trends on behalf of the European Commission.Project(s): OpenAIRE-Advance
, OpenAIRE Nexus See at: github.com | CNR ExploRA
2022
Report
Open Access
Data model description of the OpenAIRE Research Graph
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Mannocci A., Manghi P., Pavone G.
The OpenAIRE Graph (formerly known as the OpenAIRE Research Graph) is one of the largest open scholarly record collections worldwide, key to fostering Open Science and establishing its practices in daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back into the hands of the scientific community. Imagine a vast collection of research products all linked together, contextualized, and openly available. For the past years, OpenAIRE has been working to gather this valuable record. It is a massive collection of metadata and links between scientific products such as articles, datasets, software, and other research products, entities like organizations, funders, funding streams, projects, communities, and data sources. This technical Report describes the public data model adopted by the OpenAIRE Graph.Source: ISTI Technical Report, ISTI-2022-TR/031, 2022
DOI: 10.32079/isti-tr-2022/031
Metrics:
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Mannocci A., Manghi P., Pavone G.
The OpenAIRE Graph (formerly known as the OpenAIRE Research Graph) is one of the largest open scholarly record collections worldwide, key to fostering Open Science and establishing its practices in daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back into the hands of the scientific community. Imagine a vast collection of research products all linked together, contextualized, and openly available. For the past years, OpenAIRE has been working to gather this valuable record. It is a massive collection of metadata and links between scientific products such as articles, datasets, software, and other research products, entities like organizations, funders, funding streams, projects, communities, and data sources. This technical Report describes the public data model adopted by the OpenAIRE Graph.Source: ISTI Technical Report, ISTI-2022-TR/031, 2022
DOI: 10.32079/isti-tr-2022/031
Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
OpenAIRE Research Graph: aggregation workflow
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Dell'Amico A., Mannocci A., Manghi P., Pavone G.
The OpenAIRE Graph (formerly the OpenAIRE Research Graph) is one of the largest open scholarly record collections worldwide. It is key in fostering Open Science and establishing its practices in daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back into the hands of the scientific community. OpenAIRE collects metadata records from more than 70K scholarly communication sources worldwide, including Open Access institutional repositories, data archives, and journals. All the metadata records (i.e., descriptions of research products) are put together in a data lake with records from Crossref, Unpaywall, ORCID, ROR, and information about projects provided by national and international funders. This technical Report describes the main Aggregation Workflow to orchestrate the data aggregation and the implemented mapping from some of the main datasources into the OpenAIRE research graph data model.Source: ISTI Technical Report, ISTI-2022-TR/033, 2022
DOI: 10.32079/isti-tr-2022/033
Project(s): OpenAIRE-Advance, OpenAIRE Nexus
Metrics:
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Dell'Amico A., Mannocci A., Manghi P., Pavone G.
The OpenAIRE Graph (formerly the OpenAIRE Research Graph) is one of the largest open scholarly record collections worldwide. It is key in fostering Open Science and establishing its practices in daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back into the hands of the scientific community. OpenAIRE collects metadata records from more than 70K scholarly communication sources worldwide, including Open Access institutional repositories, data archives, and journals. All the metadata records (i.e., descriptions of research products) are put together in a data lake with records from Crossref, Unpaywall, ORCID, ROR, and information about projects provided by national and international funders. This technical Report describes the main Aggregation Workflow to orchestrate the data aggregation and the implemented mapping from some of the main datasources into the OpenAIRE research graph data model.Source: ISTI Technical Report, ISTI-2022-TR/033, 2022
DOI: 10.32079/isti-tr-2022/033
Project(s): OpenAIRE-Advance
, OpenAIRE Nexus Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
OpenAIRE Research Graph deduplication workflow
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Mannocci A., Manghi P., Pavone G.
The OpenAIRE aggregation workflow can collect metadata records from different providers about the same scholarly work. Each metadata record can carry different information because, for example, some providers are not aware of links to projects, keywords, or other details. Another typical case is when OpenAIRE collects one metadata record from a repository about a pre-print and another from a journal about the published article. To provide correct statistics, OpenAIRE must identify those cases and "merge" the two metadata records so that the scholarly work is counted only once in the statistics OpenAIRE produces. This technical Report describes the Deduplication workflow and technique adopted to deduplicate the OpenAIRE Graph.Source: ISTI Technical Report, ISTI-2022-TR/032, 2022
DOI: 10.32079/isti-tr-2022/032
Project(s): OpenAIRE-Connect, OpenAIRE Nexus
Metrics:
La Bruzzo S. F., Artini M., Atzori C., Bardi A., Baglioni M., De Bonis M., Mannocci A., Manghi P., Pavone G.
The OpenAIRE aggregation workflow can collect metadata records from different providers about the same scholarly work. Each metadata record can carry different information because, for example, some providers are not aware of links to projects, keywords, or other details. Another typical case is when OpenAIRE collects one metadata record from a repository about a pre-print and another from a journal about the published article. To provide correct statistics, OpenAIRE must identify those cases and "merge" the two metadata records so that the scholarly work is counted only once in the statistics OpenAIRE produces. This technical Report describes the Deduplication workflow and technique adopted to deduplicate the OpenAIRE Graph.Source: ISTI Technical Report, ISTI-2022-TR/032, 2022
DOI: 10.32079/isti-tr-2022/032
Project(s): OpenAIRE-Connect
, OpenAIRE Nexus Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Report
Open Access
OpenOrgs: a tool for the disambiguation of organizations
Artini M., La Bruzzo S. F., De Bonis M., Pavone G.
Organizations appear all over the Research & Innovation ecosystem in different shapes and formats: the same organization may appear with different metadata fields, different names - e.g., full legal name, short or alternative names, acronym. The ambiguity of organizations results in a huge deficiency in the exchange of information, the findability of research products, the monitoring of activities, and ultimately building a linked open scholarly communication system. OpenOrgs combines an automated process and human curation to compensate for the lack of information available and improve the organization's discoverability.Source: ISTI Technical Report, ISTI-2022-TR/034, 2022
DOI: 10.32079/isti-tr-2022/034
Project(s): OpenAIRE-Advance, OpenAIRE Nexus
Metrics:
Artini M., La Bruzzo S. F., De Bonis M., Pavone G.
Organizations appear all over the Research & Innovation ecosystem in different shapes and formats: the same organization may appear with different metadata fields, different names - e.g., full legal name, short or alternative names, acronym. The ambiguity of organizations results in a huge deficiency in the exchange of information, the findability of research products, the monitoring of activities, and ultimately building a linked open scholarly communication system. OpenOrgs combines an automated process and human curation to compensate for the lack of information available and improve the organization's discoverability.Source: ISTI Technical Report, ISTI-2022-TR/034, 2022
DOI: 10.32079/isti-tr-2022/034
Project(s): OpenAIRE-Advance
, OpenAIRE Nexus Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Contribution to conference
Open Access
ISTI Open Portal: uno strumento "a servizio" dell'Open Access
Artini M., Candela L., Giannini S., Manghi P., Molino A.
All'interno del contesto operativo del CNR per la gestione della produzione scientifica, l'Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo" (ISTI) ha messo in atto una serie di buone pratiche per favorire l'accesso aperto ai prodotti depositati dal proprio personale nell'archivio istituzionale "People". Quest'ultimo, infatti, al momento espone solo i metadati dei prodotti, non consentendo l'attuazione delle pratiche di Open Access e Open Science. Per questo motivo, l'istituto si è dotato di una propria policy Open Access, entrata in vigore a gennaio 2018. Il documento stabilisce che i metadati e una versione digitale di qualsiasi prodotto della ricerca devono essere depositati nell'archivio istituzionale CNR e resi disponibili mediante l'ISTI Open Portal (IOP). IOP è un gateway che, partendo dalla raccolta dei metadati dei prodotti in People, presenta i prodotti ISTI arricchendoli con informazioni aggiuntive (ad es. altre versioni depositate in repository terzi, link a dataset associati alla pubblicazione, metriche alternative/indicatori di impatto) provenienti da servizi e risorse di comunicazione accademica (ad es. OpenAIRE Research Graph, ScholeXplorer, Altmetric). Inoltre, IOP offre funzionalità di search & browse specifiche (per autore / laboratorio) oltre a grafici e statistiche che mostrano il trend della produzione scientifica nel corso del tempo. Il gateway è un'istanza di RepOSGate, un software open source offerto as-a-Service dall'ISTI per la realizzazione di gateway a-la IOP, capaci quindi di complementare le informazioni collezionate da sorgenti di metadati e permettere di implementare politiche Open Access basate sull'auto-archiviazione. Tale soluzione è stata adottata dall'ISPC. Il sistema, dunque, facilita la fruizione della produzione scientifica dell'istituto, migliorando la ricerca, la consultazione e l'accesso alle risorse. L'obiettivo della presentazione è quello di descrivere le caratteristiche e le funzionalità principali di IOP, fornendo informazioni sull'architettura di alto livello che sovrintende al sistema e sul flusso di lavoro che opera nel back-office. Inoltre, si descriverà l'esperienza maturata nell'implementazione della policy e le lessons learned.Source: GenOA Week 2022, Genoa, Italy, 7-11/11/2022
Artini M., Candela L., Giannini S., Manghi P., Molino A.
All'interno del contesto operativo del CNR per la gestione della produzione scientifica, l'Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo" (ISTI) ha messo in atto una serie di buone pratiche per favorire l'accesso aperto ai prodotti depositati dal proprio personale nell'archivio istituzionale "People". Quest'ultimo, infatti, al momento espone solo i metadati dei prodotti, non consentendo l'attuazione delle pratiche di Open Access e Open Science. Per questo motivo, l'istituto si è dotato di una propria policy Open Access, entrata in vigore a gennaio 2018. Il documento stabilisce che i metadati e una versione digitale di qualsiasi prodotto della ricerca devono essere depositati nell'archivio istituzionale CNR e resi disponibili mediante l'ISTI Open Portal (IOP). IOP è un gateway che, partendo dalla raccolta dei metadati dei prodotti in People, presenta i prodotti ISTI arricchendoli con informazioni aggiuntive (ad es. altre versioni depositate in repository terzi, link a dataset associati alla pubblicazione, metriche alternative/indicatori di impatto) provenienti da servizi e risorse di comunicazione accademica (ad es. OpenAIRE Research Graph, ScholeXplorer, Altmetric). Inoltre, IOP offre funzionalità di search & browse specifiche (per autore / laboratorio) oltre a grafici e statistiche che mostrano il trend della produzione scientifica nel corso del tempo. Il gateway è un'istanza di RepOSGate, un software open source offerto as-a-Service dall'ISTI per la realizzazione di gateway a-la IOP, capaci quindi di complementare le informazioni collezionate da sorgenti di metadati e permettere di implementare politiche Open Access basate sull'auto-archiviazione. Tale soluzione è stata adottata dall'ISPC. Il sistema, dunque, facilita la fruizione della produzione scientifica dell'istituto, migliorando la ricerca, la consultazione e l'accesso alle risorse. L'obiettivo della presentazione è quello di descrivere le caratteristiche e le funzionalità principali di IOP, fornendo informazioni sull'architettura di alto livello che sovrintende al sistema e sul flusso di lavoro che opera nel back-office. Inoltre, si descriverà l'esperienza maturata nell'implementazione della policy e le lessons learned.Source: GenOA Week 2022, Genoa, Italy, 7-11/11/2022
See at:
ISTI Repository | openscience.unige.it | CNR ExploRA
2022
Report
Open Access
ISTI Open Portal activity report 2022
Artini M., Candela L., Dell'Amico A., Molino A., Giannini S., Piccioli T.
ISTI Open Portal is the gateway to the scientific production of the Institute of Information Science and Technologies. It was designed and developed to promote the dissemination of the institute scientific production and its availability according to open access practices. This brief report documents the activities performed in 2022 and gives usage indicators about the service.Source: ISTI Technical Report, ISTI-2022-TR/036, 2022
DOI: 10.32079/isti-tr-2022/036
Metrics:
Artini M., Candela L., Dell'Amico A., Molino A., Giannini S., Piccioli T.
ISTI Open Portal is the gateway to the scientific production of the Institute of Information Science and Technologies. It was designed and developed to promote the dissemination of the institute scientific production and its availability according to open access practices. This brief report documents the activities performed in 2022 and gives usage indicators about the service.Source: ISTI Technical Report, ISTI-2022-TR/036, 2022
DOI: 10.32079/isti-tr-2022/036
Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Report
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.Source: ISTI Annual reports, 2022
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.Source: ISTI Annual reports, 2022
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:
ISTI Repository | CNR ExploRA
2021
Dataset
Unknown
OpenAIRE research graph: dumps for research communities and initiatives
Manghi P., Atzori C., Bardi A., Baglioni M., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Lohden A., Backer A., Mannocci A., Horst M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Ioannidis A., Summan F.
This dataset contains dumps of the OpenAIRE Research Graph containing metadata records relevant for the research communities and initiatives collaborating with OpenAIRE. Each dataset is a tar file containing gzip files with one json per line. Each json is compliant to the schema available at DOI: 10.5281/zenodo.3974226DOI: 10.5281/zenodo.3974604
Project(s): RISIS 2, BE OPEN , OpenAIRE-Advance
Metrics:
Manghi P., Atzori C., Bardi A., Baglioni M., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Lohden A., Backer A., Mannocci A., Horst M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Ioannidis A., Summan F.
This dataset contains dumps of the OpenAIRE Research Graph containing metadata records relevant for the research communities and initiatives collaborating with OpenAIRE. Each dataset is a tar file containing gzip files with one json per line. Each json is compliant to the schema available at DOI: 10.5281/zenodo.3974226DOI: 10.5281/zenodo.3974604
Project(s): RISIS 2
, BE OPEN , OpenAIRE-Advance Metrics:
See at: CNR ExploRA
2021
Dataset
Unknown
OpenAIRE Covid-19 publications, datasets, software and projects metadata
Bardi A., Kuchma I., Pavone G., Artini M., Atzori C., Backer A., Baglioni M., Czerniak A., De Bonis M., Dimitropoulos H., Foufoulas I., Horst M., Iatropoulou K., Jacewicz P., Kokogiannaki A., La Bruzzo S., Lazzeri E., Lohden A., Manghi P., Mannocci A., Manola N., Ottonello E., Schirrwagen J.
This dump provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dump contains records of the OpenAIRE COVID-19 Gateway (https://covid-19.openaire.eu/), identified via full-text mining and inference techniques applied to the OpenAIRE Research Graph (https://explore.openaire.eu/). The Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA. The dump consists of a gzip file containing one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.3974226DOI: 10.5281/zenodo.3980490
Project(s): OpenAIRE-Advance
Metrics:
Bardi A., Kuchma I., Pavone G., Artini M., Atzori C., Backer A., Baglioni M., Czerniak A., De Bonis M., Dimitropoulos H., Foufoulas I., Horst M., Iatropoulou K., Jacewicz P., Kokogiannaki A., La Bruzzo S., Lazzeri E., Lohden A., Manghi P., Mannocci A., Manola N., Ottonello E., Schirrwagen J.
This dump provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dump contains records of the OpenAIRE COVID-19 Gateway (https://covid-19.openaire.eu/), identified via full-text mining and inference techniques applied to the OpenAIRE Research Graph (https://explore.openaire.eu/). The Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA. The dump consists of a gzip file containing one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.3974226DOI: 10.5281/zenodo.3980490
Project(s): OpenAIRE-Advance
Metrics:
See at: CNR ExploRA
2021
Report
Open Access
InfraScience Research Activity Report 2020
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mannocci A., Pagano P., Panichi 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 2020 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e\-Sci\-ence, 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, \ie D4Science and OpenAIRE. During 2020 InfraScience members contributed to the publishing of 30 papers, to the research and development activities of 12 research projects (11 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Report, ISTI-2021-AR/002, pp.1–20, 2021
DOI: 10.32079/isti-ar-2021/002
Project(s): ARIADNEplus, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSCsecretariat.eu , RISIS 2 , TAILOR , I-GENE , MOVING , OpenAIRE-Advance , SoBigData-PlusPlus
Metrics:
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mannocci A., Pagano P., Panichi 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 2020 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e\-Sci\-ence, 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, \ie D4Science and OpenAIRE. During 2020 InfraScience members contributed to the publishing of 30 papers, to the research and development activities of 12 research projects (11 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Report, ISTI-2021-AR/002, pp.1–20, 2021
DOI: 10.32079/isti-ar-2021/002
Project(s): ARIADNEplus
, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSCsecretariat.eu , RISIS 2 , TAILOR , I-GENE , MOVING , OpenAIRE-Advance , SoBigData-PlusPlus Metrics:
See at:
ISTI Repository | CNR ExploRA
2020
Conference article
Open Access
RepOSGate: Open Science Gateways for Institutional Repositories
Artini M., Candela L., Manghi P., Giannini S.
Most repository platforms used to operate Institutional Repositories fail at delivering a complete set of functionalities required by institutions and researchers to fully comply with Open Science publishing practices. This paper presents RepOSGate, a software that implements an overlay application capable of collecting metadata records from a repository and transparently deliver search, statistics, upload of Open Access versions functionalities over an enhanced version of the metadata collection, which include: links to datasets, Open Access versions of the artifacts, links to projects from several funders, subjects, citations, etc. The paper will also present two instantiations of RepOSGate, used to enhance the publication metadata collections of two CNR institutes: Institute of Information Science and Technologies (ISTI) and Institute of Marine Sciences (ISMAR).Source: ICRDL 2020 - 16th Italian Research Conference on Digital Libraries, pp. 151–162, Bari, Italy, 30-31 Juanuary 2020
DOI: 10.1007/978-3-030-39905-4_15
DOI: 10.5281/zenodo.3819830
DOI: 10.5281/zenodo.3819829
Project(s): OpenAIRE-Advance
Metrics:
Artini M., Candela L., Manghi P., Giannini S.
Most repository platforms used to operate Institutional Repositories fail at delivering a complete set of functionalities required by institutions and researchers to fully comply with Open Science publishing practices. This paper presents RepOSGate, a software that implements an overlay application capable of collecting metadata records from a repository and transparently deliver search, statistics, upload of Open Access versions functionalities over an enhanced version of the metadata collection, which include: links to datasets, Open Access versions of the artifacts, links to projects from several funders, subjects, citations, etc. The paper will also present two instantiations of RepOSGate, used to enhance the publication metadata collections of two CNR institutes: Institute of Information Science and Technologies (ISTI) and Institute of Marine Sciences (ISMAR).Source: ICRDL 2020 - 16th Italian Research Conference on Digital Libraries, pp. 151–162, Bari, Italy, 30-31 Juanuary 2020
DOI: 10.1007/978-3-030-39905-4_15
DOI: 10.5281/zenodo.3819830
DOI: 10.5281/zenodo.3819829
Project(s): OpenAIRE-Advance
Metrics:
See at:
ZENODO | ZENODO | ISTI Repository | zenodo.org | Communications in Computer and Information Science 
| link.springer.com | CNR ExploRA
2020
Contribution to conference
Open Access
ISTI Open Portal: a tool for Open Access
Artini M., Candela L., Giannini S., Manghi P., Molino A.
The scientific production of CNR is deposited in the central institutional archive named People. IOP gathers the contents from People via OAI-PMH set and enhances and interlinks them with information from scholarly communication services and resources.Source: GL2020 - Twenty-Second International Conference on Grey Literature. Applications of Grey Literature for Science and Society, Online conference, 19/11/2020
Artini M., Candela L., Giannini S., Manghi P., Molino A.
The scientific production of CNR is deposited in the central institutional archive named People. IOP gathers the contents from People via OAI-PMH set and enhances and interlinks them with information from scholarly communication services and resources.Source: GL2020 - Twenty-Second International Conference on Grey Literature. Applications of Grey Literature for Science and Society, Online conference, 19/11/2020
See at:
gl2020.isti.cnr.it | ISTI Repository | CNR ExploRA
2019
Report
Open Access
The OpenAIRE research graph: third-party publishing APIs
Atzori C., Baglioni M., Bardi A., Manghi P., La Bruzzo S., De Bonis M., Dell'Amico A., Artini M., Mannocci A., Ottonello E.
This work describes the specification of the OpenAIRE publishing APIs that support third-party services at publishing metadata about interlinked and packaged research products into the OpenAIRE Research Graph, in respect of the OpenAIRE interoperability guidelines (https://guidelines.openaire.eu). Research products generated by researchers using services of research infrastructures are today manually published by researchers in a repository external to their research infrastructure. This phase is often considered an extra burden, because researchers have to fill in metadata forms with information that is already available in the scope of the services they used. By using the OpenAIRE publishing APIs, services of research infrastructures can implement an on-demand publishing workflow for any type of research products to support their researchers at improving the FAIRness of their research products and relief them from the tedious step of finding a suitable repository and manually depositing the products in it.Source: ISTI Technical reports, 2019
Atzori C., Baglioni M., Bardi A., Manghi P., La Bruzzo S., De Bonis M., Dell'Amico A., Artini M., Mannocci A., Ottonello E.
This work describes the specification of the OpenAIRE publishing APIs that support third-party services at publishing metadata about interlinked and packaged research products into the OpenAIRE Research Graph, in respect of the OpenAIRE interoperability guidelines (https://guidelines.openaire.eu). Research products generated by researchers using services of research infrastructures are today manually published by researchers in a repository external to their research infrastructure. This phase is often considered an extra burden, because researchers have to fill in metadata forms with information that is already available in the scope of the services they used. By using the OpenAIRE publishing APIs, services of research infrastructures can implement an on-demand publishing workflow for any type of research products to support their researchers at improving the FAIRness of their research products and relief them from the tedious step of finding a suitable repository and manually depositing the products in it.Source: ISTI Technical reports, 2019
See at:
ISTI Repository | CNR ExploRA
2019
Conference article
Open Access
The OpenAIRE Research Community Dashboard: On Blending Scientific Workflows and Scientific Publishing
Baglioni M., Bardi A., Kokogiannaki A., Manghi P., Iatropoulou K., Principe P., Vieira A., Nielsen L. H., Dimitropoulos H., Foufoulas I., Manola N., Atzori C., La Bruzzo S., Lazzeri E., Artini M., De Bonis M., Dell'Amico A.
Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use "digital laboratories" (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post-experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure.Source: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL, pp. 56–69, Oslo, Norway, September 9-12, 2019
DOI: 10.1007/978-3-030-30760-8_5
DOI: 10.5281/zenodo.3467104
DOI: 10.5281/zenodo.3467103
Project(s): OpenAIRE-Connect, OpenAIRE-Advance
Metrics:
Baglioni M., Bardi A., Kokogiannaki A., Manghi P., Iatropoulou K., Principe P., Vieira A., Nielsen L. H., Dimitropoulos H., Foufoulas I., Manola N., Atzori C., La Bruzzo S., Lazzeri E., Artini M., De Bonis M., Dell'Amico A.
Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use "digital laboratories" (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post-experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure.Source: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL, pp. 56–69, Oslo, Norway, September 9-12, 2019
DOI: 10.1007/978-3-030-30760-8_5
DOI: 10.5281/zenodo.3467104
DOI: 10.5281/zenodo.3467103
Project(s): OpenAIRE-Connect
, OpenAIRE-Advance Metrics:
See at:
ZENODO | ZENODO | Universidade do Minho: RepositoriUM | ISTI Repository | repositorium.sdum.uminho.pt | doi.org | CNR ExploRA
2019
Dataset
Unknown
OpenAIRE Research Graph Dump
Manghi P., Atzori C., Bardi A., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Loehden A., Baecker A., Mannocci A., Horst M., Baglioni M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Nielsen L. H., Ioannidis A., Bigarella C., Summan F.
The OpenAIRE Research Graph is one of the largest open scholarly record collections worldwide, key in fostering Open Science and establishing its practices in the daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back in the hands of the scientific community. Imagine a vast collection of research products all linked together, contextualised and openly available. For the past ten years OpenAIRE has been working to gather this valuable record. OpenAIRE is pleased to announce the beta release of its Research Graph, a massive collection of metadata and links between scientific products such as articles, datasets, software, and other research products, entities like organisations, funders, funding streams, projects, communities, and data sources. As of today, the OpenAIRE Research Graph aggregates around 450Mi metadata records with links collecting from 10,000 data sources trusted by scientists, including repositories registered in OpenDOAR, Open Access journals registered in DOAJ, Crossref, Unpaywall, ORCID and Microsoft Academic Graph. After cleaning, deduplication, and fine-grained classification processes, they narrow down to ~100Mi publications, ~8Mi datasets, ~200K software research products, 8Mi other products linked together with semantic relations. More than 10Mi full-texts of Open Access publications are mined by algorithms to enrich metadata records with additional properties and links among research products, funders, projects, communities, and organizations. Thanks to the mining algorithm, the graph is completed with 480Mi semantic relations. The OpenAIRE Research graph is available via our BETA Explore Portal and you can download it from Zenodo.DOI: 10.5281/zenodo.3516918
Project(s): OpenAIRE-Advance
Metrics:
Manghi P., Atzori C., Bardi A., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Loehden A., Baecker A., Mannocci A., Horst M., Baglioni M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Nielsen L. H., Ioannidis A., Bigarella C., Summan F.
The OpenAIRE Research Graph is one of the largest open scholarly record collections worldwide, key in fostering Open Science and establishing its practices in the daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back in the hands of the scientific community. Imagine a vast collection of research products all linked together, contextualised and openly available. For the past ten years OpenAIRE has been working to gather this valuable record. OpenAIRE is pleased to announce the beta release of its Research Graph, a massive collection of metadata and links between scientific products such as articles, datasets, software, and other research products, entities like organisations, funders, funding streams, projects, communities, and data sources. As of today, the OpenAIRE Research Graph aggregates around 450Mi metadata records with links collecting from 10,000 data sources trusted by scientists, including repositories registered in OpenDOAR, Open Access journals registered in DOAJ, Crossref, Unpaywall, ORCID and Microsoft Academic Graph. After cleaning, deduplication, and fine-grained classification processes, they narrow down to ~100Mi publications, ~8Mi datasets, ~200K software research products, 8Mi other products linked together with semantic relations. More than 10Mi full-texts of Open Access publications are mined by algorithms to enrich metadata records with additional properties and links among research products, funders, projects, communities, and organizations. Thanks to the mining algorithm, the graph is completed with 480Mi semantic relations. The OpenAIRE Research graph is available via our BETA Explore Portal and you can download it from Zenodo.DOI: 10.5281/zenodo.3516918
Project(s): OpenAIRE-Advance
Metrics:
See at: CNR ExploRA