Typology
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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
Journal article
Open Access
Towards the interoperability of scholarly repository registries
Baglioni M., Pavone G., Mannocci A., Manghi P.
The enactment of Open Science relies on scholarly repositories that make research products findable and accessible, while scholarly repository registries maintain authoritative metadata and persistent identifiers (PIDs) to help researchers and infrastructure providers discover and access needed repositories. However, the proliferation of repositories targeting different research products (e.g., publications, data, and software) or serving specific disciplines has led to the creation of multiple registries whose scope is not mutually exclusive. Such a fragmented landscape poses significant concerns regarding authoritativeness, disambiguation, and coverage for scholarly communication service and infrastructure providers who consume content from these registries. These providers must either limit their focus to a single registry or manage complex data fusion strategies to integrate diverse repository profiles from various sources. While favouring the existence of a plurality of registries, this paper advocates for their interoperability, which is essential to eliminate the aforementioned barriers and enable their full, unambiguous utilisation. We analyse the data models of four prominent registries—FAIRsharing, re3data, OpenDOAR, and ROAR—and classify their properties and overlap. We provide a crosswalk between their data models and suggest a common data model shared across the examined registries to pave the way toward interoperability. As a means of validation, we include a coverage evaluation of the proposed data model.The paper adopts a pragmatic approach towards scholarly registry interoperability and suggests a common metadata model to foster the exchange of information across these platforms. The purpose of the paper is to serve as a cornerstone, initiating and engaging the community in discussions surrounding the interoperability of scholarly repository registries.Source: INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES, vol. 26 (issue 1)
DOI: 10.1007/s00799-025-00414-y
Project(s): EOSC Future, OpenAIRE Nexus
Metrics:
Baglioni M., Pavone G., Mannocci A., Manghi P.
The enactment of Open Science relies on scholarly repositories that make research products findable and accessible, while scholarly repository registries maintain authoritative metadata and persistent identifiers (PIDs) to help researchers and infrastructure providers discover and access needed repositories. However, the proliferation of repositories targeting different research products (e.g., publications, data, and software) or serving specific disciplines has led to the creation of multiple registries whose scope is not mutually exclusive. Such a fragmented landscape poses significant concerns regarding authoritativeness, disambiguation, and coverage for scholarly communication service and infrastructure providers who consume content from these registries. These providers must either limit their focus to a single registry or manage complex data fusion strategies to integrate diverse repository profiles from various sources. While favouring the existence of a plurality of registries, this paper advocates for their interoperability, which is essential to eliminate the aforementioned barriers and enable their full, unambiguous utilisation. We analyse the data models of four prominent registries—FAIRsharing, re3data, OpenDOAR, and ROAR—and classify their properties and overlap. We provide a crosswalk between their data models and suggest a common data model shared across the examined registries to pave the way toward interoperability. As a means of validation, we include a coverage evaluation of the proposed data model.The paper adopts a pragmatic approach towards scholarly registry interoperability and suggests a common metadata model to foster the exchange of information across these platforms. The purpose of the paper is to serve as a cornerstone, initiating and engaging the community in discussions surrounding the interoperability of scholarly repository registries.Source: INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES, vol. 26 (issue 1)
DOI: 10.1007/s00799-025-00414-y
Project(s): EOSC Future
, OpenAIRE Nexus Metrics:
See at:
International Journal on Digital Libraries | CNR IRIS | link.springer.com | Software Heritage | Software Heritage | GitHub | GitHub | CNR IRIS
2025
Other
Restricted
InfraScience research activity report 2024
Angioni S., Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
Metrics:
Angioni S., Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim Ahmed, La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Oliviero A., Pagano P., Panichi G., Teresa M. T., Pavone G., Peccerillo B., Piccioli T., Procaccini M., Straccia U., Vannini G. L., Versienti L.
InfraScience is a research group within the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR), based in Pisa. This activity report outlines the group's research achievements and initiatives throughout 2024. InfraScience focused its efforts on key challenges in the areas of Data Infrastructures, e-Science, and Intelligent Systems, maintaining a strong synergy between research and development and a firm commitment to open science principles. In 2024, the group played a leading role in the development and evolution of two major Open Science infrastructures: D4Science and OpenAIRE. InfraScience researchers contributed significantly to the scientific community through the publication of peer-reviewed papers, active participation in EU-funded research projects, organization of international conferences and training activities, and engagement in various working groups and task forces. This report highlights these contributions and underscores the group's ongoing dedication to advancing open, collaborative, and impactful science.DOI: 10.32079/isti-ar-2025/001
Metrics:
2024
Journal article
Open Access
The FAIR Assessment Conundrum: reflections on tools and metrics
Candela L., Mangione D., Pavone G.
Several tools for assessing FAIRness have been developed. Although their purpose is common, they use different assessment techniques, they are designed to work with diverse research products, and they are applied in specific scientific disciplines. It is thus inevitable that they perform the assessment using different metrics. This paper provides an overview of the actual FAIR assessment tools and metrics landscape to highlight the challenges characterising this task. In particular, 20 relevant FAIR assessment tools and 1180 relevant metrics were identified and analysed concerning (i) the tool’s distinguishing aspects and their trends, (ii) the gaps between the metric intents and the FAIR principles, (iii) the discrepancies between the declared intent of the metrics and the actual aspects assessed, including the most recurring issues, (iv) the technologies used or mentioned the most in the assessment metrics. The findings highlight (a) the distinguishing characteristics of the tools and the emergence of trends over time concerning those characteristics, (b) the identification of gaps at both metric and tool levels, (c) discrepancies observed in 345 metrics between their declared intent and the actual aspects assessed, pointing at several recurring issues, and (d) the variety in the technology used for the assessments, the majority of which can be ascribed to linked data solutions. This work also highlights some open issues that FAIR assessment still needs to address.Source: DATA SCIENCE JOURNAL, vol. 23
DOI: 10.5334/dsj-2024-033
Project(s): Blue-Cloud 2026, Blue Cloud , Skills4EOSC , SoBigData-PlusPlus
Metrics:
Candela L., Mangione D., Pavone G.
Several tools for assessing FAIRness have been developed. Although their purpose is common, they use different assessment techniques, they are designed to work with diverse research products, and they are applied in specific scientific disciplines. It is thus inevitable that they perform the assessment using different metrics. This paper provides an overview of the actual FAIR assessment tools and metrics landscape to highlight the challenges characterising this task. In particular, 20 relevant FAIR assessment tools and 1180 relevant metrics were identified and analysed concerning (i) the tool’s distinguishing aspects and their trends, (ii) the gaps between the metric intents and the FAIR principles, (iii) the discrepancies between the declared intent of the metrics and the actual aspects assessed, including the most recurring issues, (iv) the technologies used or mentioned the most in the assessment metrics. The findings highlight (a) the distinguishing characteristics of the tools and the emergence of trends over time concerning those characteristics, (b) the identification of gaps at both metric and tool levels, (c) discrepancies observed in 345 metrics between their declared intent and the actual aspects assessed, pointing at several recurring issues, and (d) the variety in the technology used for the assessments, the majority of which can be ascribed to linked data solutions. This work also highlights some open issues that FAIR assessment still needs to address.Source: DATA SCIENCE JOURNAL, vol. 23
DOI: 10.5334/dsj-2024-033
Project(s): Blue-Cloud 2026
, Blue Cloud , Skills4EOSC , SoBigData-PlusPlus Metrics:
See at:
IRIS Cnr | Data Science Journal | Data Science Journal | IRIS Cnr | CNR IRIS | CNR IRIS
2024
Other
Open Access
OpenAIRE e i suoi servizi a supporto della scienza aperta
Castelli D., Pavone G.
This presentation, delivered at the University of Ferrara during an event dedicated to open science, provided an overview of OpenAIRE's features, assets, and services that support open science practices.Project(s): OpenAIRE Nexus
Castelli D., Pavone G.
This presentation, delivered at the University of Ferrara during an event dedicated to open science, provided an overview of OpenAIRE's features, assets, and services that support open science practices.Project(s): OpenAIRE Nexus
See at:
CNR IRIS | open-science.it | 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
Other
Open Access
L’editoria scientifica in (poche) parole chiave
Pavone G., Zagarella R. M.
Alzi la mano chi sa cos’è un pre-print, e cosa un post-print. E un repository? Se le sapete tutte, provate con: Article Processing Charges e Green Open Access. L’editoria scientifica ha le sue peculiarità, sia per quanto riguarda la sua specifica letteratura, sia per i modelli che ne supportano la diffusione. Questo approfondimento ne presenta i termini fondamentali, tenendo in considerazione le questioni etiche e le distorsioni prodotte da un sistema in cui “o pubblichi o muori”.DOI: 10.32079/isti-tr-2024/007
Metrics:
Pavone G., Zagarella R. M.
Alzi la mano chi sa cos’è un pre-print, e cosa un post-print. E un repository? Se le sapete tutte, provate con: Article Processing Charges e Green Open Access. L’editoria scientifica ha le sue peculiarità, sia per quanto riguarda la sua specifica letteratura, sia per i modelli che ne supportano la diffusione. Questo approfondimento ne presenta i termini fondamentali, tenendo in considerazione le questioni etiche e le distorsioni prodotte da un sistema in cui “o pubblichi o muori”.DOI: 10.32079/isti-tr-2024/007
Metrics:
See at:
CNR IRIS | www.cnr.it | 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
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
Conference article
Open Access
(Semi)automated disambiguation of scholarly repositories
Baglioni M, Mannocci A, Pavone G, De Bonis M, Manghi P
The full exploitation of scholarly repositories is pivotal in modern Open Science, and scholarly repository registries are kingpins in enabling researchers and research infrastructures to list and search for suitable repositories. However, since multiple registries exist, repository managers are keen on registering multiple times the repositories they manage to maximise their traction and visibility across different research communities, disciplines, and applications. These multiple registrations ultimately lead to information fragmentation and redundancy on the one hand and, on the other, force registries' users to juggle multiple registries, profiles and identifiers describing the same repository. Such problems are known to registries, which claim equivalence between repository profiles whenever possible by cross-referencing their identifiers across different registries. However, as we will see, this "claim set" is far from complete and, therefore, many replicas slip under the radar, possibly creating problems downstream. In this work, we combine such claims to create duplicate sets and extend them with the results of an automated clustering algorithm run over repository metadata descriptions. Then we manually validate our results to produce an "as accurate as possible" de-duplicated dataset of scholarly repositories.Source: CEUR WORKSHOP PROCEEDINGS, pp. 47-59. Bari, Italy, 23-24/02/2023
Project(s): OpenAIRE Nexus
Baglioni M, Mannocci A, Pavone G, De Bonis M, Manghi P
The full exploitation of scholarly repositories is pivotal in modern Open Science, and scholarly repository registries are kingpins in enabling researchers and research infrastructures to list and search for suitable repositories. However, since multiple registries exist, repository managers are keen on registering multiple times the repositories they manage to maximise their traction and visibility across different research communities, disciplines, and applications. These multiple registrations ultimately lead to information fragmentation and redundancy on the one hand and, on the other, force registries' users to juggle multiple registries, profiles and identifiers describing the same repository. Such problems are known to registries, which claim equivalence between repository profiles whenever possible by cross-referencing their identifiers across different registries. However, as we will see, this "claim set" is far from complete and, therefore, many replicas slip under the radar, possibly creating problems downstream. In this work, we combine such claims to create duplicate sets and extend them with the results of an automated clustering algorithm run over repository metadata descriptions. Then we manually validate our results to produce an "as accurate as possible" de-duplicated dataset of scholarly repositories.Source: CEUR WORKSHOP PROCEEDINGS, pp. 47-59. Bari, Italy, 23-24/02/2023
Project(s): OpenAIRE Nexus
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | 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
Etica nella pubblicazione scientifica: Open Access e prevenzione dell'editoria predatoria
Pavone G, Zagarella Rm, Adamo G
"Se ho potuto vedere lontano, è stando sulle spalle di giganti", scriveva Isaac Newton nel 1675 in una lettera a Robert Hooke. La conoscenza scientifica necessita di scambio, comunicazione e collaborazione. Come condividono gli scienziati i risultati delle loro ricerche nel mondo attuale e con le tecnologie odierne? L'Open Access è un modello di comunicazione scientifica che ha lo scopo di superare ostacoli ereditati dal passato, e che si trova a fronteggiare sfide legate a tecnologie e processi nuovi. Esistono buone prassi consolidate ma anche importanti rischi in termini di etica della ricerca, prodotti da distorsioni del sistema della ricerca. Tra questi rischi, in particolare, vi è il fenomeno della cosiddetta "editoria predatoria" che sfrutta il modello Open Access a scopo di lucro. Questo il tema dell workshop Etica nella pubblicazione scientifica: Open Access e prevenzione dell'editoria predatoria, tenuto giovedì 7 dicembre 2023 a Roma, in occasione dell'evemto di rilevanza nazionale "Più Libri Più Liberi, fiera della piccola e media editoria. Il workshop è stato diviso in due parti, una sull'Open Access e una sull'editoria predatoria, in entrambi i casi seguendo il tema di Più Libri Più Liberi per il 2023: il gioco Nomi Cose Città Animali Fiori Piante.
Pavone G, Zagarella Rm, Adamo G
"Se ho potuto vedere lontano, è stando sulle spalle di giganti", scriveva Isaac Newton nel 1675 in una lettera a Robert Hooke. La conoscenza scientifica necessita di scambio, comunicazione e collaborazione. Come condividono gli scienziati i risultati delle loro ricerche nel mondo attuale e con le tecnologie odierne? L'Open Access è un modello di comunicazione scientifica che ha lo scopo di superare ostacoli ereditati dal passato, e che si trova a fronteggiare sfide legate a tecnologie e processi nuovi. Esistono buone prassi consolidate ma anche importanti rischi in termini di etica della ricerca, prodotti da distorsioni del sistema della ricerca. Tra questi rischi, in particolare, vi è il fenomeno della cosiddetta "editoria predatoria" che sfrutta il modello Open Access a scopo di lucro. Questo il tema dell workshop Etica nella pubblicazione scientifica: Open Access e prevenzione dell'editoria predatoria, tenuto giovedì 7 dicembre 2023 a Roma, in occasione dell'evemto di rilevanza nazionale "Più Libri Più Liberi, fiera della piccola e media editoria. Il workshop è stato diviso in due parti, una sull'Open Access e una sull'editoria predatoria, in entrambi i casi seguendo il tema di Più Libri Più Liberi per il 2023: il gioco Nomi Cose Città Animali Fiori Piante.
2023
Other
Open Access
Fulfilling Open Science. Compliance with European Commission mandates and Data Management Plan in CODECS project
Pavone G
The CODECS project aims to improve the collective capacity to understand, assess and foresee the full range of farm digitalization benefits and costs. To ensure the effectiveness of knowledge transfer to farmers, it is necessary to implement a set of actions to make the project's results accessible and retrievable. The project has established a Data Management Plan (DMP) at M6, which must be regularly updated as required by the funding entity. During the training session, the DMP is presented and the obligations undertaken through the funding are examined. Presentation outline: OS in Horizon Europe. Obligations arising from the funding stream. FAIR data. Types of data in CODECS project and their management. Publications. Things to know and to be aware of about scientific publishing. Various. Other research outputs, costs, legal and ethical issues, gender, and updates.
Pavone G
The CODECS project aims to improve the collective capacity to understand, assess and foresee the full range of farm digitalization benefits and costs. To ensure the effectiveness of knowledge transfer to farmers, it is necessary to implement a set of actions to make the project's results accessible and retrievable. The project has established a Data Management Plan (DMP) at M6, which must be regularly updated as required by the funding entity. During the training session, the DMP is presented and the obligations undertaken through the funding are examined. Presentation outline: OS in Horizon Europe. Obligations arising from the funding stream. FAIR data. Types of data in CODECS project and their management. Publications. Things to know and to be aware of about scientific publishing. Various. Other research outputs, costs, legal and ethical issues, gender, and updates.
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
Open Access
InfraScience research activity report 2023
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim A. S. T., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Pagano P., Panichi G., Paratore M. T., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Vannini G. L.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud, EOSC Future , TAILOR
Metrics:
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bosio C., Bove P., Calanducci A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., Ibrahim A. S. T., La Bruzzo S., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Molinaro E., Pagano P., Panichi G., Paratore M. T., Pavone G., Piccioli T., Sinibaldi F., Straccia U., Vannini G. L.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR Metrics:
2023
Contribution to conference
Open Access
OpenOrgs: the OpenAIRE tool for bridging registries of research organizations
Atzori C., Pavone G., Končić I, Macan B.
Building a connected open scholarly communication system requires unambiguously identifying research-related entities. It is not a simple task: for example, the same organization can have a range of names (eg. legal name, a shortened version, an abbreviation, in national language or in English), as well as varied metadata in other sources. Additionally, persistent IDs might not be helpful when several data sources (eg. ROR, ISNI, EC PIC) utilize various PID schemas to identify organizations. Due to this ambiguity, there are efficiency issues with information sharing, discoverability of research outputs, keeping track of activities, and ultimately building an integrated open scholarly communication system and OS services (Artini et al., 2022).A new tool called OpenOrgs was developed to address this old issue: the disambiguation of organizations engaged in the research process (Pavone, 2021) as well as the parentchild relationships between departments and organizations. OpenOrgs tackles the ambiguity in the data that OpenAIRE collects from several research organization registries (eg. ROR), as well as other sources including institutional repositories, scientific journals, and CRIS systems, and aggregates them to populate the OpenAIRE Graph (OpenAIRE Graph, n.d.). To make up for the lack of information and increase the organization's discoverability and recognition, OpenOrgs combines automated processes with human curation. Numerous data sources are used to gather and merge information on organizations. Their metadata are automatically compared and combined, then these suggested identities are manually checked by data curators assigned at a national or multi-national level.These two steps work as follows:1. The deduplication algorithm (De Bonis, 2022) suggests a similarity between organizations that emerge in various sources by comparing their metadata (eg. the organization name, URL, country).2. The automatic procedure is then verified by a manual curation process. By indicating whether two or more entities pertain to the same organization or not, data curators can clear up any ambiguity surrounding duplicates detected using the automated approach. Furthermore, they can themselves suggest new duplicates unidentified by the algorithm and make up for the information shortage by editing metadata description of the organization, compensating the lack of information from sources and enhancing the organization records' completeness and discoverability, for example by adding a persistent identifier, an alternative name (OpenAIRE, 2023), or establishing parent- child relationships (eg. university and departments). As of now, there are more than 70 registered data curators from over 40 countries, with more than 100,000 curated organizations.OpenOrgs offers a number of advantages for researchers, Research Performing Organizations (RPOs), Research Funding Organizations (RFOs), and all other stakeholders of Open Science services. It improves the findability of digital objects for academics and provides RPOs with a consistent showcase of the overall scientific production. It offers RFOs consistent data on the impact of resources. Finally, OpenOrgs offers functional and up-to-date services to all parties involved in Open Science.In the OpenAIRE ecosystem, OpenOrgs plays an important role. For example, OpenAIRE Explore displays the curated metadata from OpenOrgs, giving researchers quick and easy access to details about the organizations involved in the research process (OpenAIRE EXPLORE, n.d.). These data are also used by the OpenAIRE Monitor service, which tracks and monitors research activities and Open Science trends of organizations (OpenAIRE MONITOR, n.d.). This integration improves these organizations’ discoverability and recognition even more, fostering a more open and cooperative research environment. Therefore, rather than just a tool, OpenOrgs is a game-changer for the research community, and we believe it will contribute positively to build and maintain an integrated open scholarly communication system in the years to come.DOI: 10.15291/pubmet.4281
Metrics:
Atzori C., Pavone G., Končić I, Macan B.
Building a connected open scholarly communication system requires unambiguously identifying research-related entities. It is not a simple task: for example, the same organization can have a range of names (eg. legal name, a shortened version, an abbreviation, in national language or in English), as well as varied metadata in other sources. Additionally, persistent IDs might not be helpful when several data sources (eg. ROR, ISNI, EC PIC) utilize various PID schemas to identify organizations. Due to this ambiguity, there are efficiency issues with information sharing, discoverability of research outputs, keeping track of activities, and ultimately building an integrated open scholarly communication system and OS services (Artini et al., 2022).A new tool called OpenOrgs was developed to address this old issue: the disambiguation of organizations engaged in the research process (Pavone, 2021) as well as the parentchild relationships between departments and organizations. OpenOrgs tackles the ambiguity in the data that OpenAIRE collects from several research organization registries (eg. ROR), as well as other sources including institutional repositories, scientific journals, and CRIS systems, and aggregates them to populate the OpenAIRE Graph (OpenAIRE Graph, n.d.). To make up for the lack of information and increase the organization's discoverability and recognition, OpenOrgs combines automated processes with human curation. Numerous data sources are used to gather and merge information on organizations. Their metadata are automatically compared and combined, then these suggested identities are manually checked by data curators assigned at a national or multi-national level.These two steps work as follows:1. The deduplication algorithm (De Bonis, 2022) suggests a similarity between organizations that emerge in various sources by comparing their metadata (eg. the organization name, URL, country).2. The automatic procedure is then verified by a manual curation process. By indicating whether two or more entities pertain to the same organization or not, data curators can clear up any ambiguity surrounding duplicates detected using the automated approach. Furthermore, they can themselves suggest new duplicates unidentified by the algorithm and make up for the information shortage by editing metadata description of the organization, compensating the lack of information from sources and enhancing the organization records' completeness and discoverability, for example by adding a persistent identifier, an alternative name (OpenAIRE, 2023), or establishing parent- child relationships (eg. university and departments). As of now, there are more than 70 registered data curators from over 40 countries, with more than 100,000 curated organizations.OpenOrgs offers a number of advantages for researchers, Research Performing Organizations (RPOs), Research Funding Organizations (RFOs), and all other stakeholders of Open Science services. It improves the findability of digital objects for academics and provides RPOs with a consistent showcase of the overall scientific production. It offers RFOs consistent data on the impact of resources. Finally, OpenOrgs offers functional and up-to-date services to all parties involved in Open Science.In the OpenAIRE ecosystem, OpenOrgs plays an important role. For example, OpenAIRE Explore displays the curated metadata from OpenOrgs, giving researchers quick and easy access to details about the organizations involved in the research process (OpenAIRE EXPLORE, n.d.). These data are also used by the OpenAIRE Monitor service, which tracks and monitors research activities and Open Science trends of organizations (OpenAIRE MONITOR, n.d.). This integration improves these organizations’ discoverability and recognition even more, fostering a more open and cooperative research environment. Therefore, rather than just a tool, OpenOrgs is a game-changer for the research community, and we believe it will contribute positively to build and maintain an integrated open scholarly communication system in the years to come.DOI: 10.15291/pubmet.4281
Metrics:
2022
Other
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.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.DOI: 10.32079/isti-tr-2022/009
Project(s): OpenAIRE Nexus
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Other
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.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.DOI: 10.32079/isti-tr-2022/010
Project(s): EOSC Future
, OpenAIRE Nexus Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Other
Open Access
Practical course on FAIR Data Stewardship in Life Science
Pavone G, Lazzeri E, Carta C, Chiara M, Quaglia F
The course on FAIR Data Stewardship in Life Science organised by ELIXIR Italy, EOSC-Pillar Project, the ICDI Competence Centre, and EOSC-Life, in collaboration with ELIXIR Netherlands. The course is focused on FAIR data management and stewardship. It provides the skills, tools, and standards required to embed Open Science in the research workflow, covering many aspects, such as: Open Science in Horizon Europe, Open Access in publishing, Research Data Management (RDM), FAIR principles, Open Data, and Data Management Plan. The course has been structured in 5 on-line training modules, each one built on frontal lessons and several interactions. This record includes both slides from the lesson modules and additional material (excercises, mentimeter). Instructors/Speakers: Claudio Carta - ELIXIR-IT, Istituto Superiore di Sanità - Roma, Italy Matteo Chiara - ELIXIR-IT, Dept. of Biosciences, University of Milano, Italy Mijke Jetten/Celia van Gelder - ELIXIR-NL, Dutch Techcentre for Life Sciences (DTL), Netherlands Emma Lazzeri - ICDI, GARR, Roma, Italy Gina Pavone - ICDI, National Research Council - ISTI, Pisa, Italy Federica Quaglia - University of Padua, Italy Target audience The course is aimed at Italian life-science researchers, technicians, data stewards, and data managers, especially if they are involved in projects that require planning and writing a Data Management Plan. Course dates: 2-4-7-9-11 March 2022 at 14.30 - 17.30 CET Organizers: Emma Lazzeri - ICDI, GARR, Roma, Italy Loredana Le Pera - ELIXIR-IT, Istituto Superiore di Sanità - FAST, Roma, Italy Ivan Miçetic - ELIXIR-IT, University of Padua, Italy Gina Pavone - ICDI, National Research Council - ISTI, Pisa, Italy Allegra Via - ELIXIR-IT, National Research Council - IBPM, Roma, Italy Reference links: Course page on ELIXIR-IT website: https://elixir-italy.org/event/practical-course-on-fair-data-stewardship-in-life-science/ Course page on EOSC-Pillar website: https://www.eosc-pillar.eu/events/practical-course-fair-data-stewardship-life-science Course page on ICDI website: https://www.icdi.it/it/news/123-corso-pratico-sulla-gestione-dei-dati-fair-nella-scienza-della-vitaProject(s): EOSC-Pillar, ELIXIR-EXCELERATE , EOSC-Life
Pavone G, Lazzeri E, Carta C, Chiara M, Quaglia F
The course on FAIR Data Stewardship in Life Science organised by ELIXIR Italy, EOSC-Pillar Project, the ICDI Competence Centre, and EOSC-Life, in collaboration with ELIXIR Netherlands. The course is focused on FAIR data management and stewardship. It provides the skills, tools, and standards required to embed Open Science in the research workflow, covering many aspects, such as: Open Science in Horizon Europe, Open Access in publishing, Research Data Management (RDM), FAIR principles, Open Data, and Data Management Plan. The course has been structured in 5 on-line training modules, each one built on frontal lessons and several interactions. This record includes both slides from the lesson modules and additional material (excercises, mentimeter). Instructors/Speakers: Claudio Carta - ELIXIR-IT, Istituto Superiore di Sanità - Roma, Italy Matteo Chiara - ELIXIR-IT, Dept. of Biosciences, University of Milano, Italy Mijke Jetten/Celia van Gelder - ELIXIR-NL, Dutch Techcentre for Life Sciences (DTL), Netherlands Emma Lazzeri - ICDI, GARR, Roma, Italy Gina Pavone - ICDI, National Research Council - ISTI, Pisa, Italy Federica Quaglia - University of Padua, Italy Target audience The course is aimed at Italian life-science researchers, technicians, data stewards, and data managers, especially if they are involved in projects that require planning and writing a Data Management Plan. Course dates: 2-4-7-9-11 March 2022 at 14.30 - 17.30 CET Organizers: Emma Lazzeri - ICDI, GARR, Roma, Italy Loredana Le Pera - ELIXIR-IT, Istituto Superiore di Sanità - FAST, Roma, Italy Ivan Miçetic - ELIXIR-IT, University of Padua, Italy Gina Pavone - ICDI, National Research Council - ISTI, Pisa, Italy Allegra Via - ELIXIR-IT, National Research Council - IBPM, Roma, Italy Reference links: Course page on ELIXIR-IT website: https://elixir-italy.org/event/practical-course-on-fair-data-stewardship-in-life-science/ Course page on EOSC-Pillar website: https://www.eosc-pillar.eu/events/practical-course-fair-data-stewardship-life-science Course page on ICDI website: https://www.icdi.it/it/news/123-corso-pratico-sulla-gestione-dei-dati-fair-nella-scienza-della-vitaProject(s): EOSC-Pillar
, ELIXIR-EXCELERATE , EOSC-Life
See at:
CNR IRIS | ISTI Repository | ISTI Repository | ISTI Repository | ISTI Repository | ISTI Repository | zenodo.org | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS | CNR IRIS