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.Source: Metadata and Semantic Research, edited by Garoufallou E., Vlachidis A., pp. 222–234, 2023
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.Source: Metadata and Semantic Research, edited by Garoufallou E., Vlachidis A., pp. 222–234, 2023
DOI: 10.1007/978-3-031-39141-5_19
Project(s): OpenAIRE Nexus
Metrics:
See at:
ISTI Repository 
| link.springer.com 
| CNR ExploRA
2023
Journal article
Open Access
What are researchers' needs in data discovery? Analysis and ranking of a large-scale collection of crowdsourced use cases
Mathiak B., Juty N., Bardi A., Colomb J., Kraker P.
Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users' wishes. This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 'topics' and eight types of users. While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements. Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.Source: Data science journal 22 (2023). doi:10.5334/dsj-2023-003
DOI: 10.5334/dsj-2023-003
Project(s): OpenAIRE-Advance
Metrics:
Mathiak B., Juty N., Bardi A., Colomb J., Kraker P.
Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users' wishes. This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 'topics' and eight types of users. While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements. Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.Source: Data science journal 22 (2023). doi:10.5334/dsj-2023-003
DOI: 10.5334/dsj-2023-003
Project(s): OpenAIRE-Advance
Metrics:
See at:
datascience.codata.org | ISTI Repository | CNR ExploRA
2023
Contribution to conference
Open Access
Foreword to the IRCDL 2023 proceedings
Bardi A., Ferilli S., Marchesin S., Redavid D.
Foreword to the IRCDL 2023 - 19th IRCDL: The Conference on Information and Research science Connecting to Digital and Library science 2023Proceedings (Bari, Italy, 23-24 February 2023).Source: Aachen: CEUR-WS.org, 2023
Bardi A., Ferilli S., Marchesin S., Redavid D.
Foreword to the IRCDL 2023 - 19th IRCDL: The Conference on Information and Research science Connecting to Digital and Library science 2023Proceedings (Bari, Italy, 23-24 February 2023).Source: Aachen: CEUR-WS.org, 2023
See at:
ceur-ws.org | CNR ExploRA
2023
Journal article
Open Access
ARIADNE: A data infrastructure for the archaeological research community
Bardi A., Assante M., Mangiacrapa F.
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.Source: ERCIM news 133 (2023): 8–9.
Project(s): ARIADNEplus
Bardi A., Assante M., Mangiacrapa F.
The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.Source: ERCIM news 133 (2023): 8–9.
Project(s): ARIADNEplus
See at:
ercim-news.ercim.eu | ISTI Repository | CNR ExploRA
2023
Journal article
Open Access
Boosting Open Science in the IPERION HS research infrastructure with OpenAIRE
Bardi A., Benassi L.
IPERION HS is a research infrastructure that supports researchers in the field of heritage science, an interdisciplinary domain studying cultural and natural tangible heritage. This article describes how IPERION HS makes the research outputs open and accessible to the community and monitors its impact thanks to the services offered by the OpenAIRE infrastructure.Source: ERCIM news (2023): 9–10.
Project(s): IPERION HS, OpenAIRE Nexus
Bardi A., Benassi L.
IPERION HS is a research infrastructure that supports researchers in the field of heritage science, an interdisciplinary domain studying cultural and natural tangible heritage. This article describes how IPERION HS makes the research outputs open and accessible to the community and monitors its impact thanks to the services offered by the OpenAIRE infrastructure.Source: ERCIM news (2023): 9–10.
Project(s): IPERION HS
, OpenAIRE Nexus
See at:
ercim-news.ercim.eu | ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
A discovery hub for Diamond Open Access publishing
Bardi A., Bargheer M., Manghi P.
Open Access (OA) publishing is the set of practices thanks to which research publications are accessible freely without barriers. With Diamond Open Access, authors can publish free of charge as the institutional sector with universities, research institutions or libraries provide the necessary technological infrastructure. However, the Diamond OA landscape continues to be fragmented, is often underfunded, and is not always technically proficient enough to develop its full potential for science and society. The CRAFT-OA project, started in January 2023, aims to consolidate the Diamond OA publishing landscape both from the technical and organisational point of views. In this paper we describe the context and architecture of the Diamond Discovery Hub that will be released by the project to increase visibility, discoverability and recognition of Diamond OA institutional publishers and their content. The Diamond Discovery Hub will facilitate the integration with the wider scholarly communication ecosystem and the European Open Science Cloud to enlarge visibility, discoverability and reach of open access publications as part of the emerging Open Science paradigm.Source: IRCDL2023 - 19th Conference on Information and Research Science Connecting to Digital and Library Science, pp. 162–166, Bari, Italy, 23-24/02/2023
Bardi A., Bargheer M., Manghi P.
Open Access (OA) publishing is the set of practices thanks to which research publications are accessible freely without barriers. With Diamond Open Access, authors can publish free of charge as the institutional sector with universities, research institutions or libraries provide the necessary technological infrastructure. However, the Diamond OA landscape continues to be fragmented, is often underfunded, and is not always technically proficient enough to develop its full potential for science and society. The CRAFT-OA project, started in January 2023, aims to consolidate the Diamond OA publishing landscape both from the technical and organisational point of views. In this paper we describe the context and architecture of the Diamond Discovery Hub that will be released by the project to increase visibility, discoverability and recognition of Diamond OA institutional publishers and their content. The Diamond Discovery Hub will facilitate the integration with the wider scholarly communication ecosystem and the European Open Science Cloud to enlarge visibility, discoverability and reach of open access publications as part of the emerging Open Science paradigm.Source: IRCDL2023 - 19th Conference on Information and Research Science Connecting to Digital and Library Science, pp. 162–166, Bari, Italy, 23-24/02/2023
See at:
ceur-ws.org | ISTI Repository | CNR ExploRA
2023
Journal article
Open Access
Data management plans as linked open data: exploiting ARGOS FAIR and machine actionable outputs in the OpenAIRE research graph
Papadopoulou E., Bardi A., Kakaletris G., Tziotzios D., Manghi P., Manola N.
Open Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects, people, research outcomes, institutions) and the relationships among them. They present a contextualized view of current research that supports discovery, re-use, reproducibility, monitoring, transparency and omni-comprehensive assessment. A Data Management Plan (DMP) contains information concerning both the research processes and the data collected, generated and/or re-used during a project's lifetime. Automated solutions and workflows that connect DMPs with the actual data and other contextual information (e.g., publications, fundings) are missing from the landscape. DMPs being submitted as deliverables also limit their findability. In an open and FAIR-enabling research ecosystem information linking between research processes and research outputs is essential. ARGOS tool for FAIR data management contributes to the OpenAIRE Research Graph (RG) and utilises its underlying services and trusted sources to progressively automate validation and automations of Research Data Management (RDM) practices.Source: Journal of biomedical semantics 14 (2023). doi:10.1186/s13326-023-00297-5
DOI: 10.1186/s13326-023-00297-5
Metrics:
Papadopoulou E., Bardi A., Kakaletris G., Tziotzios D., Manghi P., Manola N.
Open Science Graphs (OSGs) are scientific knowledge graphs representing different entities of the research lifecycle (e.g. projects, people, research outcomes, institutions) and the relationships among them. They present a contextualized view of current research that supports discovery, re-use, reproducibility, monitoring, transparency and omni-comprehensive assessment. A Data Management Plan (DMP) contains information concerning both the research processes and the data collected, generated and/or re-used during a project's lifetime. Automated solutions and workflows that connect DMPs with the actual data and other contextual information (e.g., publications, fundings) are missing from the landscape. DMPs being submitted as deliverables also limit their findability. In an open and FAIR-enabling research ecosystem information linking between research processes and research outputs is essential. ARGOS tool for FAIR data management contributes to the OpenAIRE Research Graph (RG) and utilises its underlying services and trusted sources to progressively automate validation and automations of Research Data Management (RDM) practices.Source: Journal of biomedical semantics 14 (2023). doi:10.1186/s13326-023-00297-5
DOI: 10.1186/s13326-023-00297-5
Metrics:
See at:
jbiomedsem.biomedcentral.com | CNR ExploRA
2023
Contribution to conference
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.Source: GenoOA Week 2023, Genoa, Italy, 23-27/10/2023
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.Source: GenoOA Week 2023, Genoa, Italy, 23-27/10/2023
See at:
ISTI Repository | CNR ExploRA
2023
Contribution to conference
Open Access
OpenAIRE Graph: una risorsa aperta per la scienza aperta
Atzori C., Bardi A., Baglioni M., Manghi P.
L'OpenAIRE Graph (OAG) è un knowledge graph costruito aggregando informazioni (metadati, relazioni) riguardo diverse entità del mondo della ricerca quali pubblicazioni, dataset, software ed altri prodotti, progetti finanziati, repository ed organizzazioni, interconnesse tra loro attraverso relazioni semantiche (e.g. citazioni, supplementi, similarità, partecipazione a progetti). L'OAG è una risorsa aperta che può essere utilizzata da enti finanziatori, organizzazioni, ricercatori, comunità di ricerca e editori per ottenere una migliore comprensione del panorama e delle dinamiche della ricerca a vari livelli, sia locale che globale. Trattandosi di una risorsa aperta e liberamente accessibile, prodotta rispettando i valori fondamentali dell'Open Science elaborati nella raccomandazione dell'UNESCO sulla Scienza Aperta, l'OAG permette di superare l'uso di sorgenti dati proprietarie supportando la riforma della valutazione della ricerca, dei ricercatori e delle organizzazioni previste dalla Coalition for Advancing Research Assessment (CoARA). L'OAG è costruito a partire da record bibliografici ottenuti da sorgenti note quali Crossref, le riviste open access registrate in DOAJ (Directory of Open Access Journals), ORCID, Microsoft Academic Graph, Datacite, cosi come da oltre 1000 repository istituzionali. I metadati dei prodotti della ricerca contenuti nel grafo sono disambiguati ed arricchiti grazie a processi di full text e data mining, questo rende l'OAG utilizzabile per una varietà di scopi, tra cui: research discovery, valutazione della ricerca, analisi e/o predizione delle collaborazioni di ricerca, supporto ai processi di decisione delle politiche di ricerca. L'OAG è una risorsa liberamente accessibile: le funzionalità di search & discovery sono disponibili attraverso il portale explore.openaire.eu, l'integrazione per via programmatica è disponibile attraverso le HTTP Search API, il dataset completo, così come altri dataset che offrono viste specializzate sono disponibili su Zenodo. Il portale monitor.openaire.eu ospita diverse dashboard dedicate ad organizzazioni di ricerca ed enti finanziatori che includono i risultati di analisi statistiche, bibliometriche, ed indicatori. Ulteriori informazioni sono disponibili su https://graph.openaire.eu, in cui sono descritti i modelli dati ai quali rispondono i dataset, la documentazione delle API, così come l'approccio metodologico utilizzato per la costruzione e l'elaborazione dell'OAG. A Luglio 2023 l'OAG include circa 170 milioni di pubblicazioni, 40 milioni di dataset, 110K research software ed oltre 3 miliardi di relazioni tra essi. Questo lo rende una delle più grandi raccolte di record accademici al mondo. Ha il potenziale di avere un impatto significativo sul modo in cui la ricerca viene condotta e comunicata. Rendendo più facile trovare, comprendere e utilizzare i dati di ricerca, l'OAG può aiutare a: accelerare la scoperta scientifica, migliorare la collaborazione in materia di ricerca, supportare le decisioni sulle politiche di ricerca, monitorare i progressi della ricerca, identificare le aree in cui sono necessari maggiori investimenti, aumentare la visibilità della ricerca nei paesi in via di sviluppo, supportare la riproducibilità della ricerca, promuovere le pratiche di open science. Per queste sue caratteristiche, l'OAG ha il potenziale per contribuire significativamente al progresso della scienza e della società.Source: GenoOA Week 2023, Genova, Italy e online, 23-27/10/2023
Atzori C., Bardi A., Baglioni M., Manghi P.
L'OpenAIRE Graph (OAG) è un knowledge graph costruito aggregando informazioni (metadati, relazioni) riguardo diverse entità del mondo della ricerca quali pubblicazioni, dataset, software ed altri prodotti, progetti finanziati, repository ed organizzazioni, interconnesse tra loro attraverso relazioni semantiche (e.g. citazioni, supplementi, similarità, partecipazione a progetti). L'OAG è una risorsa aperta che può essere utilizzata da enti finanziatori, organizzazioni, ricercatori, comunità di ricerca e editori per ottenere una migliore comprensione del panorama e delle dinamiche della ricerca a vari livelli, sia locale che globale. Trattandosi di una risorsa aperta e liberamente accessibile, prodotta rispettando i valori fondamentali dell'Open Science elaborati nella raccomandazione dell'UNESCO sulla Scienza Aperta, l'OAG permette di superare l'uso di sorgenti dati proprietarie supportando la riforma della valutazione della ricerca, dei ricercatori e delle organizzazioni previste dalla Coalition for Advancing Research Assessment (CoARA). L'OAG è costruito a partire da record bibliografici ottenuti da sorgenti note quali Crossref, le riviste open access registrate in DOAJ (Directory of Open Access Journals), ORCID, Microsoft Academic Graph, Datacite, cosi come da oltre 1000 repository istituzionali. I metadati dei prodotti della ricerca contenuti nel grafo sono disambiguati ed arricchiti grazie a processi di full text e data mining, questo rende l'OAG utilizzabile per una varietà di scopi, tra cui: research discovery, valutazione della ricerca, analisi e/o predizione delle collaborazioni di ricerca, supporto ai processi di decisione delle politiche di ricerca. L'OAG è una risorsa liberamente accessibile: le funzionalità di search & discovery sono disponibili attraverso il portale explore.openaire.eu, l'integrazione per via programmatica è disponibile attraverso le HTTP Search API, il dataset completo, così come altri dataset che offrono viste specializzate sono disponibili su Zenodo. Il portale monitor.openaire.eu ospita diverse dashboard dedicate ad organizzazioni di ricerca ed enti finanziatori che includono i risultati di analisi statistiche, bibliometriche, ed indicatori. Ulteriori informazioni sono disponibili su https://graph.openaire.eu, in cui sono descritti i modelli dati ai quali rispondono i dataset, la documentazione delle API, così come l'approccio metodologico utilizzato per la costruzione e l'elaborazione dell'OAG. A Luglio 2023 l'OAG include circa 170 milioni di pubblicazioni, 40 milioni di dataset, 110K research software ed oltre 3 miliardi di relazioni tra essi. Questo lo rende una delle più grandi raccolte di record accademici al mondo. Ha il potenziale di avere un impatto significativo sul modo in cui la ricerca viene condotta e comunicata. Rendendo più facile trovare, comprendere e utilizzare i dati di ricerca, l'OAG può aiutare a: accelerare la scoperta scientifica, migliorare la collaborazione in materia di ricerca, supportare le decisioni sulle politiche di ricerca, monitorare i progressi della ricerca, identificare le aree in cui sono necessari maggiori investimenti, aumentare la visibilità della ricerca nei paesi in via di sviluppo, supportare la riproducibilità della ricerca, promuovere le pratiche di open science. Per queste sue caratteristiche, l'OAG ha il potenziale per contribuire significativamente al progresso della scienza e della società.Source: GenoOA Week 2023, Genova, Italy e online, 23-27/10/2023
See at:
ISTI Repository | CNR ExploRA
2023
Contribution to conference
Open Access
Community building con OpenAIRE CONNECT
Bardi A., Baglioni M.
Le comunità di ricerca, le reti universitarie, le infrastrutture di ricerca mirano a massimizzare il loro impatto sulla ricerca e sulla società e a dotare i loro ricercatori di strumenti comuni, politiche e linee guida condivise per migliorare la qualità della ricerca. Tuttavia, spesso non è facile ottenere la visibilità che meritano nei confronti degli enti finanziatori o del personale di ricerca. Analizzando il panorama attuale è possibile identificare un insieme di attività strategiche: 1. Ampia diffusione di tutte le attività e dei risultati dei ricercatori sia all'interno che al di fuori della propria comunità; 2. Monitoraggio dei risultati della ricerca della comunità; 3. Promozione e monitoraggio dell'adozione delle pratiche di Open Science (ad es. dati FAIR e pubblicazione in Open Access); 4. Monitoraggio dell'aderenza alle politiche condivise e alle best practices del dominio; 5. Centralizzazione della fornitura di servizi condivisi per ridurre i costi e raggiungere un maggior numero di utenti (ad es. per programmi di formazione rivolti a responsabili della ricerca, amministratori, ricercatori, studenti). Queste attività non sono semplici da realizzare in modo sostenibile. Spesso, il monitoraggio dei risultati della ricerca viene fatto manualmente, richiedendo molto sforzo per comunicare con ogni membro della comunità (sia persone che organizzazioni), garantire la qualità e armonizzare i dati raccolti in modo che possano essere diffusi e/o analizzati. Un altro problema comune è monitorare l'adozione delle pratiche di pubblicazione Open Science dei ricercatori, identificare le lacune e preparare tutorial e formazione per supportarli. OpenAIRE, un'infrastruttura di comunicazione scientifica impegnata nella promozione dell'Open Science, sta collaborando con diverse alleanze di università (ad es. Aurora, EUT+, EUTOPIA, FIT FORTHEM), infrastrutture di ricerca (ad es. EMBRC, IPERION-HS, DARIAH) e comunità specifiche del dominio (ad es. scienze marine, neuroinformatica) per affrontare queste sfide. Dal punto di vista tecnico, OpenAIRE opera il servizio CONNECT (https://connect.openaire.eu), attraverso il quale una comunità può avere un gateway personalizzabile dove scoprire tutti i prodotti della ricerca della comunità tramite un unico punto di accesso e servizi per facilitare l'adozione e il monitoraggio delle pratiche di Open Science. Dal punto di vista della formazione, le collaborazioni ci danno l'opportunità di arricchire e scambiare materiale formativo, competenze e impostare una strategia di disseminazione congiunta per migliorare ulteriormente la visibilità all'interno delle comunità, della rete OpenAIRE e oltre. La demo presenterà uno dei gateway pubblici per mostrare tutte le funzionalità integrate disponibili agli utenti, fra cui: cercare i prodotti della ricerca, collegarli tra loro e con i progetti che li hanno finanziati, cercare repository Open Access per depositare qualsiasi tipo di prodotto della ricerca, l'integrazione con il servizio ORCID. Presenterà anche la dashboard di amministrazione che può essere utilizzata dai curatori della comunità per configurare il gateway in termini di contenuti e aspetto.Source: GenOA week 2023, Genova, Italy, 23-26/10/2023
Bardi A., Baglioni M.
Le comunità di ricerca, le reti universitarie, le infrastrutture di ricerca mirano a massimizzare il loro impatto sulla ricerca e sulla società e a dotare i loro ricercatori di strumenti comuni, politiche e linee guida condivise per migliorare la qualità della ricerca. Tuttavia, spesso non è facile ottenere la visibilità che meritano nei confronti degli enti finanziatori o del personale di ricerca. Analizzando il panorama attuale è possibile identificare un insieme di attività strategiche: 1. Ampia diffusione di tutte le attività e dei risultati dei ricercatori sia all'interno che al di fuori della propria comunità; 2. Monitoraggio dei risultati della ricerca della comunità; 3. Promozione e monitoraggio dell'adozione delle pratiche di Open Science (ad es. dati FAIR e pubblicazione in Open Access); 4. Monitoraggio dell'aderenza alle politiche condivise e alle best practices del dominio; 5. Centralizzazione della fornitura di servizi condivisi per ridurre i costi e raggiungere un maggior numero di utenti (ad es. per programmi di formazione rivolti a responsabili della ricerca, amministratori, ricercatori, studenti). Queste attività non sono semplici da realizzare in modo sostenibile. Spesso, il monitoraggio dei risultati della ricerca viene fatto manualmente, richiedendo molto sforzo per comunicare con ogni membro della comunità (sia persone che organizzazioni), garantire la qualità e armonizzare i dati raccolti in modo che possano essere diffusi e/o analizzati. Un altro problema comune è monitorare l'adozione delle pratiche di pubblicazione Open Science dei ricercatori, identificare le lacune e preparare tutorial e formazione per supportarli. OpenAIRE, un'infrastruttura di comunicazione scientifica impegnata nella promozione dell'Open Science, sta collaborando con diverse alleanze di università (ad es. Aurora, EUT+, EUTOPIA, FIT FORTHEM), infrastrutture di ricerca (ad es. EMBRC, IPERION-HS, DARIAH) e comunità specifiche del dominio (ad es. scienze marine, neuroinformatica) per affrontare queste sfide. Dal punto di vista tecnico, OpenAIRE opera il servizio CONNECT (https://connect.openaire.eu), attraverso il quale una comunità può avere un gateway personalizzabile dove scoprire tutti i prodotti della ricerca della comunità tramite un unico punto di accesso e servizi per facilitare l'adozione e il monitoraggio delle pratiche di Open Science. Dal punto di vista della formazione, le collaborazioni ci danno l'opportunità di arricchire e scambiare materiale formativo, competenze e impostare una strategia di disseminazione congiunta per migliorare ulteriormente la visibilità all'interno delle comunità, della rete OpenAIRE e oltre. La demo presenterà uno dei gateway pubblici per mostrare tutte le funzionalità integrate disponibili agli utenti, fra cui: cercare i prodotti della ricerca, collegarli tra loro e con i progetti che li hanno finanziati, cercare repository Open Access per depositare qualsiasi tipo di prodotto della ricerca, l'integrazione con il servizio ORCID. Presenterà anche la dashboard di amministrazione che può essere utilizzata dai curatori della comunità per configurare il gateway in termini di contenuti e aspetto.Source: GenOA week 2023, Genova, Italy, 23-26/10/2023
See at:
zenodo.org | CNR ExploRA
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
2023
Report
Open Access
SoBigData-PlusPlus D9.5 - SoBigData e-infrastructure common facilities 2
Assante M., Bardi A., Fernandez E., Lamata Martinez I., Lettere M., Manzi A., Pagano P.
Deliverable D9.5 "e-Infrastructure Common Facilities 2" is the revised version of Deliverable D9.4 "e- Infrastructure Common Facilities" intended to report the design principles and software architectures characterising the release and development of the SoBigData e-Infrastructure common facilities, namely the social mining computational engine, the online coding and workflow design frameworks, and the online science monitoring dashboard. This revised version of the document covers the first 36 months of the project, including up to date information on the progress for the existing common facilities documented in D9.4 Deliverable at M12, and information on common facilities developed between M12 and M36. Specifically, (i) the Social Mining Analytics Engine section has been enriched with a new service for performing collaborative data processing and mining on information sets (Cloud Computing Platform) and (ii) the Online Coding and Workflow section has been enriched with the report on the integration of Galaxy open-source platform for FAIR data analysis. The deliverable consists of six sections. Section 1 briefly introduces the role of this deliverable for the development and delivery of the SoBigData e-Infrastructure common facilities. Section 2 describes the SoBigData e-infrastructure logical architecture contextualising the common facilities and how they relate with the rest. Section 3, section 4 and section 5 document the first release of the e-Infrastructure common facilities included in this report and available at M36, reporting the design principles and reference architectures of the released solutions. Specifically, section 3 describes the social mining computational engine, Section 4 presents the online coding and workflow design frameworks - which includes the RStudio, the Jupyter Notebooks via JupyterHub, and Galaxy, Section 5 reports the online science monitoring dashboard. Finally, section 6 concludes the report illustrating the whole Release Management process and its components for continuous integration.Source: ISTI Project report, SoBigData-PlusPlus, D9.5, 2023
Project(s): SoBigData-PlusPlus
Assante M., Bardi A., Fernandez E., Lamata Martinez I., Lettere M., Manzi A., Pagano P.
Deliverable D9.5 "e-Infrastructure Common Facilities 2" is the revised version of Deliverable D9.4 "e- Infrastructure Common Facilities" intended to report the design principles and software architectures characterising the release and development of the SoBigData e-Infrastructure common facilities, namely the social mining computational engine, the online coding and workflow design frameworks, and the online science monitoring dashboard. This revised version of the document covers the first 36 months of the project, including up to date information on the progress for the existing common facilities documented in D9.4 Deliverable at M12, and information on common facilities developed between M12 and M36. Specifically, (i) the Social Mining Analytics Engine section has been enriched with a new service for performing collaborative data processing and mining on information sets (Cloud Computing Platform) and (ii) the Online Coding and Workflow section has been enriched with the report on the integration of Galaxy open-source platform for FAIR data analysis. The deliverable consists of six sections. Section 1 briefly introduces the role of this deliverable for the development and delivery of the SoBigData e-Infrastructure common facilities. Section 2 describes the SoBigData e-infrastructure logical architecture contextualising the common facilities and how they relate with the rest. Section 3, section 4 and section 5 document the first release of the e-Infrastructure common facilities included in this report and available at M36, reporting the design principles and reference architectures of the released solutions. Specifically, section 3 describes the social mining computational engine, Section 4 presents the online coding and workflow design frameworks - which includes the RStudio, the Jupyter Notebooks via JupyterHub, and Galaxy, Section 5 reports the online science monitoring dashboard. Finally, section 6 concludes the report illustrating the whole Release Management process and its components for continuous integration.Source: ISTI Project report, SoBigData-PlusPlus, D9.5, 2023
Project(s): SoBigData-PlusPlus
See at:
ISTI Repository | CNR ExploRA
2023
Contribution to conference
Open Access
OpenAIRE CONNECT for research alliances
Malaguarnera G., Bardi A., Baglioni M., Kokogiannaki A.
Research alliances like university networks or associations gather their members, with common or complementary backgrounds, to maximize their impact on research and society and empower their researchers with common tools, shared policies and guidelines to improve the quality of the research. Via the alliance, members and their affiliated researchers have more collaboration and funding opportunities. However, often it is not easy for an alliance to gain the deserved visibility towards funding organizations or the research staff. By analyzing the current landscape of research alliances it is possible to identify a set of strategic activities: - Wide dissemination of all activities and researchers' results within and beyond the alliance itself; - Tracking the research outputs of the members, especially those resulted from a collaboration among the members of the alliance - Promote Open Access and other Open Science practices (e.g. data sharing and Open Access publishing) to foster a more free circulation of knowledge within and beyond the researchers of the alliance, increase collaboration opportunities, and use it an accelerator towards the Sustainable Development Goals (SDGs) as suggested by UNESCO - Tracking the adherence to shared policies, domain best practices (for thematic alliances) and Open Science practices - Find sustainable common solutions for services shared among the members, reducing the costs and reaching a higher number of users (e.g. for training programs targeting research managers, administrators, researchers, students) Addressing those activities in a sustainable way is in some cases not straightforward. Often, the tracking of research outcome is done manually, requiring a lot of effort for communicating with the single members, ensuring the quality and harmonizing the collected data so that it can be disseminated and/or analyzed. Another common problem is tracking the uptake of Open Science publishing practices of the researchers, identifying gaps and preparing tutorials and training to help them. OpenAIRE, a scholarly communication infrastructure committed to the promotion of Open Science, is collaborating with several research alliances (Aurora, EUT+, EUTOPIA, FIT FORTHEM) to address those challenges. From the technical point of view, OpenAIRE provides to each alliance a customizable gateway where all research products of the members can be discovered via a single entry point and services to ease the adoption and tracking of Open Science practices (see https://connect.openaire.eu for the list of exiting gateways and more information). From the training point of view, the collaborations give us the opportunity to enrich and exchange training material, expertise, and set up a joint dissemination strategy to further improve the visibility within the alliances, the OpenAIRE network, and beyond.Source: EARMA Conference 2023, Prague, Czech Republic, 24-26/04/2023
DOI: 10.5281/zenodo.8300745
DOI: 10.5281/zenodo.8300744
Project(s): FAIRCORE4EOSC, EOSC Future , OpenAIRE Nexus
Metrics:
Malaguarnera G., Bardi A., Baglioni M., Kokogiannaki A.
Research alliances like university networks or associations gather their members, with common or complementary backgrounds, to maximize their impact on research and society and empower their researchers with common tools, shared policies and guidelines to improve the quality of the research. Via the alliance, members and their affiliated researchers have more collaboration and funding opportunities. However, often it is not easy for an alliance to gain the deserved visibility towards funding organizations or the research staff. By analyzing the current landscape of research alliances it is possible to identify a set of strategic activities: - Wide dissemination of all activities and researchers' results within and beyond the alliance itself; - Tracking the research outputs of the members, especially those resulted from a collaboration among the members of the alliance - Promote Open Access and other Open Science practices (e.g. data sharing and Open Access publishing) to foster a more free circulation of knowledge within and beyond the researchers of the alliance, increase collaboration opportunities, and use it an accelerator towards the Sustainable Development Goals (SDGs) as suggested by UNESCO - Tracking the adherence to shared policies, domain best practices (for thematic alliances) and Open Science practices - Find sustainable common solutions for services shared among the members, reducing the costs and reaching a higher number of users (e.g. for training programs targeting research managers, administrators, researchers, students) Addressing those activities in a sustainable way is in some cases not straightforward. Often, the tracking of research outcome is done manually, requiring a lot of effort for communicating with the single members, ensuring the quality and harmonizing the collected data so that it can be disseminated and/or analyzed. Another common problem is tracking the uptake of Open Science publishing practices of the researchers, identifying gaps and preparing tutorials and training to help them. OpenAIRE, a scholarly communication infrastructure committed to the promotion of Open Science, is collaborating with several research alliances (Aurora, EUT+, EUTOPIA, FIT FORTHEM) to address those challenges. From the technical point of view, OpenAIRE provides to each alliance a customizable gateway where all research products of the members can be discovered via a single entry point and services to ease the adoption and tracking of Open Science practices (see https://connect.openaire.eu for the list of exiting gateways and more information). From the training point of view, the collaborations give us the opportunity to enrich and exchange training material, expertise, and set up a joint dissemination strategy to further improve the visibility within the alliances, the OpenAIRE network, and beyond.Source: EARMA Conference 2023, Prague, Czech Republic, 24-26/04/2023
DOI: 10.5281/zenodo.8300745
DOI: 10.5281/zenodo.8300744
Project(s): FAIRCORE4EOSC
, EOSC Future , OpenAIRE Nexus Metrics:
See at:
ZENODO | ZENODO | ISTI Repository | zenodo.org | CNR ExploRA
2023
Report
Open Access
Landscape study on (semi-)automatic publishing workflows/integration between RI and repository services
Eosc Future Working Group On The Eosc Interoperability Framework For Research Product Publishing
Open Science calls for researchers to publish as soon as possible any type of research product in such a way their research activity can be transparently assessed, reviewed, reproduced, and rewarded in all its aspects. However, the publishing process has become more and more a burden for scientists, who must, most of the time, spend time to publish their articles, data, software, and other products in the many institutional or thematic repositories of reference. Scenarios include first-time publishing of new resource products or double-publishing of research products, to satisfy institutional mandates and community practices. Such tedious work is often incomplete, with some products ending up unpublished and others showing incomplete or imprecise metadata. As a solution to these problems, some communities investigated and realised the integration of their research performing services, from RIs and Clusters, with repositories. The integration ensures that outcomes of such services are deposited by the services, prior authorization of the users, into a given repository, giving life to an end-to-end scientific workflow, from experimentation to publishing. This document reports the experiences of the WG members, describing solutions at different maturity levels (design, prototype, beta, production) and involving different types of services (repository, analysis/research tool, publisher, other scholarly service) for the (semi-)automatic deposition steps of research assets produced in a research infrastructure to a target service in the scholarly communication ecosystem. It also presents a list of scenarios that would benefit from an interoperability framework for research product deposition.Source: ISTI Research reports, 2023
DOI: 10.5281/zenodo.8094651
DOI: 10.5281/zenodo.8094650
Project(s): EOSC Future, OpenAIRE Nexus
Metrics:
Eosc Future Working Group On The Eosc Interoperability Framework For Research Product Publishing
Open Science calls for researchers to publish as soon as possible any type of research product in such a way their research activity can be transparently assessed, reviewed, reproduced, and rewarded in all its aspects. However, the publishing process has become more and more a burden for scientists, who must, most of the time, spend time to publish their articles, data, software, and other products in the many institutional or thematic repositories of reference. Scenarios include first-time publishing of new resource products or double-publishing of research products, to satisfy institutional mandates and community practices. Such tedious work is often incomplete, with some products ending up unpublished and others showing incomplete or imprecise metadata. As a solution to these problems, some communities investigated and realised the integration of their research performing services, from RIs and Clusters, with repositories. The integration ensures that outcomes of such services are deposited by the services, prior authorization of the users, into a given repository, giving life to an end-to-end scientific workflow, from experimentation to publishing. This document reports the experiences of the WG members, describing solutions at different maturity levels (design, prototype, beta, production) and involving different types of services (repository, analysis/research tool, publisher, other scholarly service) for the (semi-)automatic deposition steps of research assets produced in a research infrastructure to a target service in the scholarly communication ecosystem. It also presents a list of scenarios that would benefit from an interoperability framework for research product deposition.Source: ISTI Research reports, 2023
DOI: 10.5281/zenodo.8094651
DOI: 10.5281/zenodo.8094650
Project(s): EOSC Future
, OpenAIRE Nexus Metrics:
See at:
ZENODO | ZENODO | ISTI Repository | CNR ExploRA
2023
Other
Open Access
EOSC-IF / Interoperability guideline: research product deposition
Bardi A., Manghi P., Gonzalez Lopez J. B., Ariyo C., Czerniak A., Van Dongen P. G., Kakaletris G., Palma R., Peroni S., Van Piggelen H., Van De Sanden M., Scardaci D., Schirrwagen J., Testi D., Tournoy R., Vipavc I., Grbac D., Enell C. F., Aben G., Heibi I., Van Kemenade J.
Open Science calls for researchers to publish as soon as possible any type of research product in such a way their research activity can be transparently assessed, reviewed, reproduced, and rewarded in all its aspects. However, the publishing process has become more and more a burden for scientists, who must, most of the time, spend time to publish their articles, data, software, and other products in the many institutional or thematic repositories of reference. Scenarios include first-time publishing of new resource products or double-publishing of research products, to satisfy institutional mandates and community practices. Such tedious work is often incomplete, with some products ending up unpublished and others showing incomplete or imprecise metadata. Some communities investigated and realised the integration of their research performing services, from research infrastructures and clusters, with repositories for research product deposition. The integration ensures that outcomes of such services are deposited automatically, prior authorization of the users, into a given repository, giving life to an end-to-end scientific workflow, from experimentation to publishing. The limit of existing approaches is to be bound to a specific repository API and format; introducing multiple repositories as potential targets of deposition for the service, multiplies the problem, as bilateral interactions with the respective repository API must be established. For example, the Zenodo deposition API and the B2SHARE API are similar but different in many ways; a service willing to automate publishing into either repositories would require implementing and maintaining two different workflows. For the EOSC to act as enabler for Open Science practices, its Interoperability Framework should guide services of research infrastructures and clusters of the EOSC on how to implement (semi-)automated workflows for the deposition and consumption of research products. To support different integration options, two modalities are supported by these guidelines: SWORD protocol v3 for push mode and a combination of COAR Notify and Signposting for pull mode. The EOSC guidelines for research product onboarding are suggested as metadata exchange format.DOI: 10.5281/zenodo.8325671
DOI: 10.5281/zenodo.8091897
DOI: 10.5281/zenodo.8091896
Project(s): EOSC Future, OpenAIRE Nexus
Metrics:
Bardi A., Manghi P., Gonzalez Lopez J. B., Ariyo C., Czerniak A., Van Dongen P. G., Kakaletris G., Palma R., Peroni S., Van Piggelen H., Van De Sanden M., Scardaci D., Schirrwagen J., Testi D., Tournoy R., Vipavc I., Grbac D., Enell C. F., Aben G., Heibi I., Van Kemenade J.
Open Science calls for researchers to publish as soon as possible any type of research product in such a way their research activity can be transparently assessed, reviewed, reproduced, and rewarded in all its aspects. However, the publishing process has become more and more a burden for scientists, who must, most of the time, spend time to publish their articles, data, software, and other products in the many institutional or thematic repositories of reference. Scenarios include first-time publishing of new resource products or double-publishing of research products, to satisfy institutional mandates and community practices. Such tedious work is often incomplete, with some products ending up unpublished and others showing incomplete or imprecise metadata. Some communities investigated and realised the integration of their research performing services, from research infrastructures and clusters, with repositories for research product deposition. The integration ensures that outcomes of such services are deposited automatically, prior authorization of the users, into a given repository, giving life to an end-to-end scientific workflow, from experimentation to publishing. The limit of existing approaches is to be bound to a specific repository API and format; introducing multiple repositories as potential targets of deposition for the service, multiplies the problem, as bilateral interactions with the respective repository API must be established. For example, the Zenodo deposition API and the B2SHARE API are similar but different in many ways; a service willing to automate publishing into either repositories would require implementing and maintaining two different workflows. For the EOSC to act as enabler for Open Science practices, its Interoperability Framework should guide services of research infrastructures and clusters of the EOSC on how to implement (semi-)automated workflows for the deposition and consumption of research products. To support different integration options, two modalities are supported by these guidelines: SWORD protocol v3 for push mode and a combination of COAR Notify and Signposting for pull mode. The EOSC guidelines for research product onboarding are suggested as metadata exchange format.DOI: 10.5281/zenodo.8325671
DOI: 10.5281/zenodo.8091897
DOI: 10.5281/zenodo.8091896
Project(s): EOSC Future
, OpenAIRE Nexus Metrics:
See at:
ZENODO | ZENODO | ZENODO | ISTI Repository | CNR ExploRA
2023
Other
Open Access
EOSC IF interoperability guideline: access to content via PID
Bardi A., Manghi P., Gonzalez L., Jose B., Ariyo C., Czerniak A., Van Dongen P. G., Kakaletris G., Palma R., Peroni S., Van Piggelen H., Van De Sanden M., Scardaci D., Schirrwagen J., Testi D., Tournoy R., Vipavc I., Grbac D., Enell C. F., Aben G., Heibi I., Van Kemenade J.
An important aspect of Open Science is the possibility to re-use existing research products (e.g. research data), deposited in repositories and accessible via their persistent identifiers (e.g. handle, doi, ark). However, there is no standard way a service can access the actual content behind persistent identifiers, as these typically resolve to the landing pages of the research products. The lack of standard for accessing the actual content identified by persistent identifiers makes the automatic consumption of research products hardly implementable and, when possible, limited to the persistent identifiers issued by a specific repository (e.g. the first prototype of the EGI Data Transfer Service integrated in the EOSC EXPLORE portal supported only DOIs from Zenodo). The EOSC Future Working Group on Research Product Publishing proposes the adoption of the Publication Boundary Pattern of the SignPosting protocol and recomends it for inclusion as interoperability guideline in the EOSC IF.DOI: 10.5281/zenodo.8318608
DOI: 10.5281/zenodo.8091102
DOI: 10.5281/zenodo.8302222
DOI: 10.5281/zenodo.8091103
Project(s): EOSC Future, OpenAIRE Nexus
Metrics:
Bardi A., Manghi P., Gonzalez L., Jose B., Ariyo C., Czerniak A., Van Dongen P. G., Kakaletris G., Palma R., Peroni S., Van Piggelen H., Van De Sanden M., Scardaci D., Schirrwagen J., Testi D., Tournoy R., Vipavc I., Grbac D., Enell C. F., Aben G., Heibi I., Van Kemenade J.
An important aspect of Open Science is the possibility to re-use existing research products (e.g. research data), deposited in repositories and accessible via their persistent identifiers (e.g. handle, doi, ark). However, there is no standard way a service can access the actual content behind persistent identifiers, as these typically resolve to the landing pages of the research products. The lack of standard for accessing the actual content identified by persistent identifiers makes the automatic consumption of research products hardly implementable and, when possible, limited to the persistent identifiers issued by a specific repository (e.g. the first prototype of the EGI Data Transfer Service integrated in the EOSC EXPLORE portal supported only DOIs from Zenodo). The EOSC Future Working Group on Research Product Publishing proposes the adoption of the Publication Boundary Pattern of the SignPosting protocol and recomends it for inclusion as interoperability guideline in the EOSC IF.DOI: 10.5281/zenodo.8318608
DOI: 10.5281/zenodo.8091102
DOI: 10.5281/zenodo.8302222
DOI: 10.5281/zenodo.8091103
Project(s): EOSC Future
, OpenAIRE Nexus Metrics:
See at:
ZENODO | ZENODO | ZENODO | ZENODO | ISTI Repository | CNR ExploRA
2023
Contribution to conference
Open Access
Vocabularies in the OpenAIRE Graph
Bardi A.
nvited presentation at the TRIPLE training session, organized by DARIAH ERIC, on the usage of topical vocabularies in the Social Science and Humanities and the European Open Science Cloud. This presentation focuses on the adoption of vocabularies in the OpenAIRE Graph.Source: TRIPLE training session on the use of vocabularies for metadata curation and quality assessment in Social Sciences and Humanities, Berlin, Germany, 27-28/03/2023
Project(s): OpenAIRE Nexus
Bardi A.
nvited presentation at the TRIPLE training session, organized by DARIAH ERIC, on the usage of topical vocabularies in the Social Science and Humanities and the European Open Science Cloud. This presentation focuses on the adoption of vocabularies in the OpenAIRE Graph.Source: TRIPLE training session on the use of vocabularies for metadata curation and quality assessment in Social Sciences and Humanities, Berlin, Germany, 27-28/03/2023
Project(s): OpenAIRE Nexus
See at:
ISTI Repository | zenodo.org | CNR ExploRA
2023
Contribution to conference
Open Access
The ecosystem for data discovery
Bardi A.
Invited presentation at the KonsortSWD Data Findability Workshop 2023 - Fostering Data Findability in a Changing Ecosystem . The slides present the study of the GOFAIR Discovery Implementation Network on the open ecosystem of e-infrastructures for data discovery and the gaps to be addressed to offer innovative and more effective research data discovery services. The second part of the presentation gives an overview of the support OpenAIRE offers for research data discovery in EXPLORE and CONNECT.Source: KonsortSWD Data Findability Workshop 2023 - Fostering Data Findability in a Changing Ecosystem, 16/03/2023
Project(s): OpenAIRE Nexus
Bardi A.
Invited presentation at the KonsortSWD Data Findability Workshop 2023 - Fostering Data Findability in a Changing Ecosystem . The slides present the study of the GOFAIR Discovery Implementation Network on the open ecosystem of e-infrastructures for data discovery and the gaps to be addressed to offer innovative and more effective research data discovery services. The second part of the presentation gives an overview of the support OpenAIRE offers for research data discovery in EXPLORE and CONNECT.Source: KonsortSWD Data Findability Workshop 2023 - Fostering Data Findability in a Changing Ecosystem, 16/03/2023
Project(s): OpenAIRE Nexus
See at:
ISTI Repository | zenodo.org | 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
Report
Open Access
ARIADNEplus D15.2 - Final report on ARIADNEplus services
Marberg J. F., Bardi A., Vlachidis A., Meghini C., Binding C., Tudhope D., Sinibaldi F., Ponchio F., Mangiacrapa F., Radman-Livaja I., Callieri M., Potenziani M., Lamé M., Assante M., Pagano P., Hermon S., Vassallo V.
This deliverable describes the activities carried out within Work Package 15 (WP15) of the ARIADNEplus project by the different partners and describes the results achieved. The work package consists of several individual tasks and subtasks with the overall goal to develop and provide useful services to archaeologists. This means the work package is by nature heterogeneous with stand-alone tasks and services. Efforts have been made to facilitate collaboration between the individual tasks through joint work package meetings. This has resulted in new cross-task contacts being made, and some sharing of expertise to improve services has been done. A service design template aligning the ARIADNEplus services with the requirements from European Open Science Cloud (EOSC) has been created. In connection with this, the ARIADNEplus AO-CAT ontology has been adapted to the requirements from EOSC Resource Data Model (Task 15.1). The Visual Media Service (Task 15.2.1) has had a new format added, allowing for 2D visualisation of LIDAR data in DEM format. In addition, three other standards have been added: gITF, ThreeJS and IIIF, supporting various functionality in the service. The service has also been adapted to support integration with the ARIADNEplus infrastructure in D4Science. A visual wizard has been defined to guide Visual Media Service users to add hotspots to a 3D scene easily and quickly. This extension, initially implemented in 3DHOP will allow archaeologists to create interactive links from the digital 3D model to the related documentation without writing any source code (Task 15.2.2). Task 15.2.3 reworked the Online 3D Database System for Endangered architectural and archaeological Heritage in the south Eastern MEditerRAnea area (EpHEMERA). EpHEMERA is a service provided by the Cyprus Institute to visualize in 3D archaeological excavations, ancient buildings, and their related documentation. In EpHEMERA, it is possible to visualise, online and through standard web browsers, 3D architectural and archaeological models (classified according to a specific type of risk), query the database system and retrieve metadata attached to each digital object, and extract geometric and morphological information about the Cultural Heritage asset. The visualisation and annotation tool of the TSS project have been ported to the OpenLime library and integrated into the Visual Media Service (Task 15.2.1). An additional layer of SVG annotations have been developed and added to the service. The Annotation service have been used and improved in three different pilot projects. (Task 15.3.2) Various strands of work have been done improving services for text mining and Natural Language Processing (Task 15.4). One of these efforts has been building upon the outcomes of the preceding ARIADNE project. A set of archaeological Named Entity Recognition NLP pipelines were reconfigured and deployed for easier use on the General Architecture for Text Engineering (GATE) cloud. Another effort has been on extracting temporal archaeological information using two different parallel approaches, normalisation and named entity recognition. A Python development platform has been used to unify the various services. A Vocabulary Annotation Tool (Task 15.3.1) was developed using the same platform, as part of Task 15.4. The tool facilitates the locating and tagging of vocabulary terms within free text and outputs suggested subject annotations in a range of formats. The GeoPortal service (Task 15.5) is a new REST service designed to manage complex spatio-temporal documents defined by metadata profiles. It was released as a component of the gCube framework. A prototype using the service was deployed and operated to manage archaeological excavation projects (Task 15.7). Two services for querying the RDF AO-Cat metadata records aggregated by the ARIADNEplus Infrastructure was established (Task 15.6): a full-text index service and a SPARQL endpoint. The full- text index service is based on OpenSearch and supports the needed query functionality of the ARIADNEplus portal. The SPARQL endpoint allows performance of semantic queries on the RDF records within the ARIADNEplus data and knowledge cloud.Source: ISTI Project report, ARIADNEplus, D15.2, 2022
Project(s): ARIADNEplus
Marberg J. F., Bardi A., Vlachidis A., Meghini C., Binding C., Tudhope D., Sinibaldi F., Ponchio F., Mangiacrapa F., Radman-Livaja I., Callieri M., Potenziani M., Lamé M., Assante M., Pagano P., Hermon S., Vassallo V.
This deliverable describes the activities carried out within Work Package 15 (WP15) of the ARIADNEplus project by the different partners and describes the results achieved. The work package consists of several individual tasks and subtasks with the overall goal to develop and provide useful services to archaeologists. This means the work package is by nature heterogeneous with stand-alone tasks and services. Efforts have been made to facilitate collaboration between the individual tasks through joint work package meetings. This has resulted in new cross-task contacts being made, and some sharing of expertise to improve services has been done. A service design template aligning the ARIADNEplus services with the requirements from European Open Science Cloud (EOSC) has been created. In connection with this, the ARIADNEplus AO-CAT ontology has been adapted to the requirements from EOSC Resource Data Model (Task 15.1). The Visual Media Service (Task 15.2.1) has had a new format added, allowing for 2D visualisation of LIDAR data in DEM format. In addition, three other standards have been added: gITF, ThreeJS and IIIF, supporting various functionality in the service. The service has also been adapted to support integration with the ARIADNEplus infrastructure in D4Science. A visual wizard has been defined to guide Visual Media Service users to add hotspots to a 3D scene easily and quickly. This extension, initially implemented in 3DHOP will allow archaeologists to create interactive links from the digital 3D model to the related documentation without writing any source code (Task 15.2.2). Task 15.2.3 reworked the Online 3D Database System for Endangered architectural and archaeological Heritage in the south Eastern MEditerRAnea area (EpHEMERA). EpHEMERA is a service provided by the Cyprus Institute to visualize in 3D archaeological excavations, ancient buildings, and their related documentation. In EpHEMERA, it is possible to visualise, online and through standard web browsers, 3D architectural and archaeological models (classified according to a specific type of risk), query the database system and retrieve metadata attached to each digital object, and extract geometric and morphological information about the Cultural Heritage asset. The visualisation and annotation tool of the TSS project have been ported to the OpenLime library and integrated into the Visual Media Service (Task 15.2.1). An additional layer of SVG annotations have been developed and added to the service. The Annotation service have been used and improved in three different pilot projects. (Task 15.3.2) Various strands of work have been done improving services for text mining and Natural Language Processing (Task 15.4). One of these efforts has been building upon the outcomes of the preceding ARIADNE project. A set of archaeological Named Entity Recognition NLP pipelines were reconfigured and deployed for easier use on the General Architecture for Text Engineering (GATE) cloud. Another effort has been on extracting temporal archaeological information using two different parallel approaches, normalisation and named entity recognition. A Python development platform has been used to unify the various services. A Vocabulary Annotation Tool (Task 15.3.1) was developed using the same platform, as part of Task 15.4. The tool facilitates the locating and tagging of vocabulary terms within free text and outputs suggested subject annotations in a range of formats. The GeoPortal service (Task 15.5) is a new REST service designed to manage complex spatio-temporal documents defined by metadata profiles. It was released as a component of the gCube framework. A prototype using the service was deployed and operated to manage archaeological excavation projects (Task 15.7). Two services for querying the RDF AO-Cat metadata records aggregated by the ARIADNEplus Infrastructure was established (Task 15.6): a full-text index service and a SPARQL endpoint. The full- text index service is based on OpenSearch and supports the needed query functionality of the ARIADNEplus portal. The SPARQL endpoint allows performance of semantic queries on the RDF records within the ARIADNEplus data and knowledge cloud.Source: ISTI Project report, ARIADNEplus, D15.2, 2022
Project(s): ARIADNEplus
See at:
ISTI Repository | CNR ExploRA