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
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
Other
Open Access
Processi per individuare le attività già in essere nel Paese riconducibili agli obiettivi del PNSA 2021-2027
Castelli D., Cimino R., Di Donato F., Gatt L., Lavitrano M., Lazzeri E., Rossi G.
Questo documento è stato prodotto dai membri del Tavolo di lavoro per l’implementazione del PNSA - Piano Nazionale per Scienza Aperta 2021-2027 (DM 268/2022) in risposta al secondo punto del mandato ricevuto dal MUR, consistente nel “proporre processi per individuare le attività già in essere nel Paese riconducibili agli obiettivi del PNSA 2021-2027”. Esso contiene, dunque, una proposta di processo per individuare le suddette attività già in essere, identificando l’informazione da raccogliere e suggerendo come raccoglierla e come pubblicarla. Il risultato di tale processo è una ricognizione attenta e ragionata dello stato dell’arte della Scienza Aperta in Italia, ricognizione che rappresenta un punto di partenza concreto per incidere sulla complessità e sostenibilità dell’implementazione del PNSA, permettendo di far leva sull’esistente e di identificare i gap che devono essere colmati. In questo quadro, la ricognizione costituisce anche un necessario contributo all’implementazione del nodo EOSC nazionale e dell’accordo internazionale CoARA.
Castelli D., Cimino R., Di Donato F., Gatt L., Lavitrano M., Lazzeri E., Rossi G.
Questo documento è stato prodotto dai membri del Tavolo di lavoro per l’implementazione del PNSA - Piano Nazionale per Scienza Aperta 2021-2027 (DM 268/2022) in risposta al secondo punto del mandato ricevuto dal MUR, consistente nel “proporre processi per individuare le attività già in essere nel Paese riconducibili agli obiettivi del PNSA 2021-2027”. Esso contiene, dunque, una proposta di processo per individuare le suddette attività già in essere, identificando l’informazione da raccogliere e suggerendo come raccoglierla e come pubblicarla. Il risultato di tale processo è una ricognizione attenta e ragionata dello stato dell’arte della Scienza Aperta in Italia, ricognizione che rappresenta un punto di partenza concreto per incidere sulla complessità e sostenibilità dell’implementazione del PNSA, permettendo di far leva sull’esistente e di identificare i gap che devono essere colmati. In questo quadro, la ricognizione costituisce anche un necessario contributo all’implementazione del nodo EOSC nazionale e dell’accordo internazionale CoARA.
2023
Journal article
Open Access
D4SCIENCE: a unique infrastructure delivering virtual research environments as a service
Candela L, Castelli D, Pagano P
Nowadays, research challenges - often based on the collaborative analysis of a large amount of data - require suitable infrastructures and user-facing solutions promoting multidisciplinary collaboration and appropriate communication and sharing of data, processes, and outcomes. The D4Science infrastructure and its virtual research environments proved to be a viable and effective solution for many communities of practice and use cases.Source: ERCIM NEWS, vol. 133, pp. 6-7
Project(s): Blue Cloud, SoBigData-PlusPlus
Candela L, Castelli D, Pagano P
Nowadays, research challenges - often based on the collaborative analysis of a large amount of data - require suitable infrastructures and user-facing solutions promoting multidisciplinary collaboration and appropriate communication and sharing of data, processes, and outcomes. The D4Science infrastructure and its virtual research environments proved to be a viable and effective solution for many communities of practice and use cases.Source: ERCIM NEWS, vol. 133, pp. 6-7
Project(s): Blue Cloud
, SoBigData-PlusPlus
See at:
ercim-news.ercim.eu | CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
Open Access
Roadmap Scienza Aperta
Castelli D, De Simone G, Cancedda F, Candela L, Colcelli V, Conte R, Di Donato F, Giannini S, Lazzeri E, Mangiaracina S, Puccinelli R, Ranchino Ma
La scienza aperta è un paradigma che influenza le pratiche di produzione e condivisione di conoscenza. Obiettivo di questa roadmap è delineare un percorso per la realizzazione e diffusione di pratiche e politiche di scienza aperta all'interno del Consiglio Nazionale delle Ricerche.
Castelli D, De Simone G, Cancedda F, Candela L, Colcelli V, Conte R, Di Donato F, Giannini S, Lazzeri E, Mangiaracina S, Puccinelli R, Ranchino Ma
La scienza aperta è un paradigma che influenza le pratiche di produzione e condivisione di conoscenza. Obiettivo di questa roadmap è delineare un percorso per la realizzazione e diffusione di pratiche e politiche di scienza aperta all'interno del Consiglio Nazionale delle Ricerche.
See at:
CNR IRIS | ISTI Repository | CNR IRIS | CNR ExploRA
2023
Journal article
Open Access
The D4Science experience on virtual research environment development
Candela L, Castelli D, Pagano P
Today, complex research challenges, often based on the analysis of a large amount of data, require multidisciplinary collaboration and appropriate communication and sharing of data, processes and outcomes. Technologies and large-scale infrastructures provide stakeholders with computing capacity and data services to perform unprecedented levels of data-driven scientific activities. This opens the way to science gateways and virtual research environments supporting researchers in scientific and educational activities. This article describes our extensive experience with the Virtual Research Environments (VRE) operated by the D4Science infrastructure. It presents how this infrastructure supports their development, their basic functionalities and how they are easily customised to serve the needs of specific user communities. It also describes how they are used in real contexts. The article concludes by reporting how VREs are now progressively used as valuable instruments to support open science and how this role might become more relevant in the future.Source: COMPUTING IN SCIENCE & ENGINEERING, vol. 25 (issue 2)
DOI: 10.1109/mcse.2023.3290433
Project(s): Blue Cloud, EOSC-Pillar , SoBigData-PlusPlus
Metrics:
Candela L, Castelli D, Pagano P
Today, complex research challenges, often based on the analysis of a large amount of data, require multidisciplinary collaboration and appropriate communication and sharing of data, processes and outcomes. Technologies and large-scale infrastructures provide stakeholders with computing capacity and data services to perform unprecedented levels of data-driven scientific activities. This opens the way to science gateways and virtual research environments supporting researchers in scientific and educational activities. This article describes our extensive experience with the Virtual Research Environments (VRE) operated by the D4Science infrastructure. It presents how this infrastructure supports their development, their basic functionalities and how they are easily customised to serve the needs of specific user communities. It also describes how they are used in real contexts. The article concludes by reporting how VREs are now progressively used as valuable instruments to support open science and how this role might become more relevant in the future.Source: COMPUTING IN SCIENCE & ENGINEERING, vol. 25 (issue 2)
DOI: 10.1109/mcse.2023.3290433
Project(s): Blue Cloud
, EOSC-Pillar , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS | ieeexplore.ieee.org | ISTI Repository | CNR IRIS | 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
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
DOI: https://doi.org/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
DOI: https://doi.org/10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR Metrics:
2023
Other
Open Access
Piano Nazionale della Scienza Aperta: ruolo ed azioni prioritarie
Donatella Castelli, Roberto Cimino, Francesca Di Donato, Lucilla Gatt, Marialuisa Lavitrano, Emma Lazzeri, Giorgio Rossi
La Scienza Aperta definisce la nuova normalità nella collaborazione e comunicazione scientifica. Questa si basa sulla condivisione dei prodotti della ricerca e sulla rimozione delle barriere alla loro diffusione, verifica e riproduzione, alla attribuzione dei meriti effettivi ed al controllo di qualità e di efficacia degli investimenti in ricerca. Il Piano Nazionale per la Scienza Aperta (PNSA) del 2022 imposta gli obiettivi per implementare uno scenario in cui la nuova normalità si possa affermare in linea con gli sviluppi della scienza aperta a livello europeo e dello European Open Science Cloud (EOSC). Questo documento inquadra il PNSA nell’ambito nazionale ed europeo, evidenziando gli effetti della sua implementazione nel contesto della ricerca e dell’innovazione nazionale. Esso inoltre introduce un primo insieme di azioni prioritarie per la sua attuazione identificate dal Tavolo di Lavoro istituito dalla Direzione generale dell’internazionalizzazione e della comunicazione del MUR.
Donatella Castelli, Roberto Cimino, Francesca Di Donato, Lucilla Gatt, Marialuisa Lavitrano, Emma Lazzeri, Giorgio Rossi
La Scienza Aperta definisce la nuova normalità nella collaborazione e comunicazione scientifica. Questa si basa sulla condivisione dei prodotti della ricerca e sulla rimozione delle barriere alla loro diffusione, verifica e riproduzione, alla attribuzione dei meriti effettivi ed al controllo di qualità e di efficacia degli investimenti in ricerca. Il Piano Nazionale per la Scienza Aperta (PNSA) del 2022 imposta gli obiettivi per implementare uno scenario in cui la nuova normalità si possa affermare in linea con gli sviluppi della scienza aperta a livello europeo e dello European Open Science Cloud (EOSC). Questo documento inquadra il PNSA nell’ambito nazionale ed europeo, evidenziando gli effetti della sua implementazione nel contesto della ricerca e dell’innovazione nazionale. Esso inoltre introduce un primo insieme di azioni prioritarie per la sua attuazione identificate dal Tavolo di Lavoro istituito dalla Direzione generale dell’internazionalizzazione e della comunicazione del MUR.
2022
Dataset
Metadata Only Access
Recommender systems for science: a basic taxonomy
Arezoumandan M, Ghannadrad A, Candela L, Castelli D
This dataset is accompanying the "Recommender system for science: A basic taxonomy" paper published at IRCDL 2022 conference. This study had a Systematic Mapping Approach on the Recommender system for science. In particular, the study aims at responding to four questions on recommender systems in science cases: users and their interests representation, item typologies and their representation, recommendation algorithms, and evaluation, and then providing a taxonomy. This dataset contains 209 papers of interest that have been published between 2015 and 2022. The dataset has 11 columns which organised as follows: Column Title: This column contains the title of the papers. Column DOI: This column contains the DOI of the papers. Column Publication_year: This column contains the year that the paper is published. Column DB: This column contains the repository that the paper is retrieved. Column Keywords: This column contains the keywords provided for the paper. Column Content_type: This column contains the paper type which can be: Article, Conference or Review. Column Citing_paper_count: This column contains the citation number of the paper. Column Recommended_artefact: This column contains the scientific product that is recommended to users which can be paper, workflow, collaborator, dataset or others. Column User_type: This column contains the type of user who receives the recommendation, which can be an Individual user or a Group of users. Column Algorithm: This column contains the recommendation algorithm that the paper proposed, which can be: HB (Hybrid-based), CB (Content-based), CFB (Collaborative-filtering-based), or GB (Graph-based). Column Evaluation_method: This column contains the method of the algorithm evaluation which can be OFFLINE, ONLINE, BOTH, or NO_EVALUATION.DOI: https://doi.org/10.5281/zenodo.6006905
DOI: 10.5281/zenodo.6006905
Project(s): Blue Cloud, EOSC-Pillar , SoBigData-PlusPlus
Metrics:
Arezoumandan M, Ghannadrad A, Candela L, Castelli D
This dataset is accompanying the "Recommender system for science: A basic taxonomy" paper published at IRCDL 2022 conference. This study had a Systematic Mapping Approach on the Recommender system for science. In particular, the study aims at responding to four questions on recommender systems in science cases: users and their interests representation, item typologies and their representation, recommendation algorithms, and evaluation, and then providing a taxonomy. This dataset contains 209 papers of interest that have been published between 2015 and 2022. The dataset has 11 columns which organised as follows: Column Title: This column contains the title of the papers. Column DOI: This column contains the DOI of the papers. Column Publication_year: This column contains the year that the paper is published. Column DB: This column contains the repository that the paper is retrieved. Column Keywords: This column contains the keywords provided for the paper. Column Content_type: This column contains the paper type which can be: Article, Conference or Review. Column Citing_paper_count: This column contains the citation number of the paper. Column Recommended_artefact: This column contains the scientific product that is recommended to users which can be paper, workflow, collaborator, dataset or others. Column User_type: This column contains the type of user who receives the recommendation, which can be an Individual user or a Group of users. Column Algorithm: This column contains the recommendation algorithm that the paper proposed, which can be: HB (Hybrid-based), CB (Content-based), CFB (Collaborative-filtering-based), or GB (Graph-based). Column Evaluation_method: This column contains the method of the algorithm evaluation which can be OFFLINE, ONLINE, BOTH, or NO_EVALUATION.DOI: https://doi.org/10.5281/zenodo.6006905
DOI: 10.5281/zenodo.6006905
Project(s): Blue Cloud
, EOSC-Pillar , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS
2022
Other
Open Access
Recommender systems for science: a basic taxonomy
Arezoumandan M, Ghannadrad A, Candela L, Castelli D
The ever-growing availability of research artefacts of potential interest for users calls for helpers to assist their discovery. Artefacts of interest vary for the typology, e.g., papers, datasets, software. User interests are multifaceted and evolving. This paper analyses and classifies studies on recommender systems exploited to suggest research artefacts to researchers regarding the type of algorithm, users and their representations, item typologies and their representation, and evaluation methods used to assess the effectiveness of the recommendations. This study found that most of the current scientific artefacts recommender system focused only on recommending paper to individual researchers, just a few papers focused on dataset recommendation and software recommender system is unprecedented.Project(s): Blue Cloud, EOSC-Pillar , SoBigData-PlusPlus
Arezoumandan M, Ghannadrad A, Candela L, Castelli D
The ever-growing availability of research artefacts of potential interest for users calls for helpers to assist their discovery. Artefacts of interest vary for the typology, e.g., papers, datasets, software. User interests are multifaceted and evolving. This paper analyses and classifies studies on recommender systems exploited to suggest research artefacts to researchers regarding the type of algorithm, users and their representations, item typologies and their representation, and evaluation methods used to assess the effectiveness of the recommendations. This study found that most of the current scientific artefacts recommender system focused only on recommending paper to individual researchers, just a few papers focused on dataset recommendation and software recommender system is unprecedented.Project(s): Blue Cloud
, EOSC-Pillar , SoBigData-PlusPlus
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Dataset
Metadata Only Access
A taxonomy of tools and approaches for FAIRification
Mangione D, Candela L, Castelli D
Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.DOI: https://doi.org/10.5281/zenodo.6037508
DOI: 10.5281/zenodo.6037508
Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Metrics:
Mangione D, Candela L, Castelli D
Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.DOI: https://doi.org/10.5281/zenodo.6037508
DOI: 10.5281/zenodo.6037508
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS
2022
Other
Open Access
A taxonomy of tools and approaches for FAIRification
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts.This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts.This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Journal article
Open Access
Virtual research environments co-creation: the D4Science experience
Assante M, Candela L, Castelli D, Cirillo R, Coro G, Dell'Amico A, Frosini L, Lelii L, Lettere M, Mangiacrapa F, Pagano P, Panichi G, Piccioli T, Sinibaldi F
Virtual research environments are systems called to serve the needs of their designated communities of practice. Every community of practice is a group of people dynamically aggregated by the willingness to collaborate to address a given research question. The virtual research environment provides its users with seamless access to the resources of interest (namely, data and services) no matter what and where they are. Developing a virtual research environment thus to guarantee its uptake from the community of practice is a challenging task. In this article, we advocate how the co-creation driven approach promoted by D4Science has proven to be effective. In particular, we present the co-creation options supported, discuss how diverse communities of practice have exploited these options, and give some usage indicators on the created VREs.Source: CONCURRENCY AND COMPUTATION (ONLINE)
DOI: 10.1002/cpe.6925
Project(s): AGINFRA PLUS, Blue Cloud , EOSC-Pillar , SoBigData-PlusPlus
Metrics:
Assante M, Candela L, Castelli D, Cirillo R, Coro G, Dell'Amico A, Frosini L, Lelii L, Lettere M, Mangiacrapa F, Pagano P, Panichi G, Piccioli T, Sinibaldi F
Virtual research environments are systems called to serve the needs of their designated communities of practice. Every community of practice is a group of people dynamically aggregated by the willingness to collaborate to address a given research question. The virtual research environment provides its users with seamless access to the resources of interest (namely, data and services) no matter what and where they are. Developing a virtual research environment thus to guarantee its uptake from the community of practice is a challenging task. In this article, we advocate how the co-creation driven approach promoted by D4Science has proven to be effective. In particular, we present the co-creation options supported, discuss how diverse communities of practice have exploited these options, and give some usage indicators on the created VREs.Source: CONCURRENCY AND COMPUTATION (ONLINE)
DOI: 10.1002/cpe.6925
Project(s): AGINFRA PLUS
, Blue Cloud , EOSC-Pillar , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS | onlinelibrary.wiley.com | ISTI Repository | CNR IRIS | CNR IRIS
2022
Conference article
Open Access
Recommender systems for science: a basic taxonomy
Ghannadrad A, Arezoumandan M, Candela L, Castelli D
The ever-growing availability of research artefacts of potential interest for users calls for helpers to assist their discovery. Artefacts of interest vary for the typology, e.g. papers, datasets, software. User interests are multifaceted and evolving. This paper analyses and classifies studies on recommender systems exploited to suggest research artefacts to researchers regarding the type of algorithm, users and their representations, item typologies and their representation, and evaluation methods used to assess the effectiveness of the recommendations. This study found that most of the current scientific artefacts recommender system focused only on recommending paper to individual researchers, just a few papers focused on dataset recommendation and software recommender system is unprecedented.Source: CEUR WORKSHOP PROCEEDINGS. Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud, EOSC-Pillar , SoBigData-PlusPlus
Ghannadrad A, Arezoumandan M, Candela L, Castelli D
The ever-growing availability of research artefacts of potential interest for users calls for helpers to assist their discovery. Artefacts of interest vary for the typology, e.g. papers, datasets, software. User interests are multifaceted and evolving. This paper analyses and classifies studies on recommender systems exploited to suggest research artefacts to researchers regarding the type of algorithm, users and their representations, item typologies and their representation, and evaluation methods used to assess the effectiveness of the recommendations. This study found that most of the current scientific artefacts recommender system focused only on recommending paper to individual researchers, just a few papers focused on dataset recommendation and software recommender system is unprecedented.Source: CEUR WORKSHOP PROCEEDINGS. Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud
, EOSC-Pillar , SoBigData-PlusPlus
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | CNR IRIS
2022
Conference article
Open Access
A taxonomy of tools and approaches for FAIRification
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts. This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Source: CEUR WORKSHOP PROCEEDINGS. Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Mangione D, Candela L, Castelli D
The FAIR principles have drawn a lot of attention since their publication in 2016. A broad range of stakeholders is confronting the implementation of these guiding principles in diverse contexts. This paper identifies and discusses the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice. In particular, 225 open access grey literature papers (namely, deliverables, milestones and data management plans) on FAIRification have been scrutinised to infer tools and approaches in use. The wealth of emerging tools (477) has been carefully analysed and organised into a comprehensive map highlighting the significant classes of instruments supporting FAIRification. A critical discussion on this collection of tools and approaches and the FAIRification completes the paper.Source: CEUR WORKSHOP PROCEEDINGS. Padua, Italy, 24-25/02/2022
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | CNR IRIS
2022
Dataset
Metadata Only Access
Virtual research environments ethnography: a preliminary study
Arezoumandan M, Candela L, Castelli D, Ghannadrad A, Mangione D, Pagano P
This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.DOI: https://doi.org/10.5281/zenodo.6481183
DOI: 10.5281/zenodo.6481183
Project(s): Blue Cloud, EOSC-Pillar , DESIRA , SoBigData-PlusPlus
Metrics:
Arezoumandan M, Candela L, Castelli D, Ghannadrad A, Mangione D, Pagano P
This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.DOI: https://doi.org/10.5281/zenodo.6481183
DOI: 10.5281/zenodo.6481183
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS
2022
Other
Open Access
InfraScience research activity report 2021
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bove P, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, La Bruzzo S, Lazzeri E, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Ottonello E, Pagano P, Panichi G, Pavone G, Piccioli T, Sinibaldi F, Straccia U
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2022/001
DOI: https://doi.org/10.32079/isti-ar-2022/001
Project(s): ARIADNEplus, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus
Metrics:
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bove P, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, La Bruzzo S, Lazzeri E, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Ottonello E, Pagano P, Panichi G, Pavone G, Piccioli T, Sinibaldi F, Straccia U
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2022/001
DOI: https://doi.org/10.32079/isti-ar-2022/001
Project(s): ARIADNEplus
, Blue Cloud , PerformFISH , EOSC-Pillar , DESIRA , EOSC Future , EOSCsecretariat.eu , EcoScope , RISIS 2 , OpenAIRE-Advance , OpenAIRE Nexus , SoBigData-PlusPlus Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Other
Open Access
Research workflows and Open Science
Candela L, Castelli D, Mangione D
The open science paradigm is increasingly praised and encouraged for improving efficiency through deduplication of efforts and for ultimately accelerating scientific discoveries. Such shift towards a collaborative and inclusive scientific process implies an alteration of the traditional research workflows to include the different dimensions that characterise the new paradigm, from open access to new assessment metrics. This systematic study analyses the open science research workflows proposed so far, highlighting (i) their distribution over time, (ii) the various means and approaches used for communicating them, (iii) the terminology used for denominating them, and (iv) the scientific domains where workflows were proposed. Moreover, the workflows were analysed and compared concerning a set of open science aspects deriving from the UNESCO Recommendation on Open Science. Overall, a total of 40 relevant studies were identified and analysed, corresponding to 33 unique workflows. The findings highlight (a) the limited effort spent by the research community to propose and communicate workflows oriented to match open science requirements, and (b) the different nuances of the meaning and understanding of open science and the resulting gap between its theoretical aspects and its practical application to the research processes.DOI: https://doi.org/10.32079/isti-tr-2022/026
DOI: 10.32079/isti-tr-2022/026
Project(s): Blue Cloud, EOSC-Pillar , DESIRA
Metrics:
Candela L, Castelli D, Mangione D
The open science paradigm is increasingly praised and encouraged for improving efficiency through deduplication of efforts and for ultimately accelerating scientific discoveries. Such shift towards a collaborative and inclusive scientific process implies an alteration of the traditional research workflows to include the different dimensions that characterise the new paradigm, from open access to new assessment metrics. This systematic study analyses the open science research workflows proposed so far, highlighting (i) their distribution over time, (ii) the various means and approaches used for communicating them, (iii) the terminology used for denominating them, and (iv) the scientific domains where workflows were proposed. Moreover, the workflows were analysed and compared concerning a set of open science aspects deriving from the UNESCO Recommendation on Open Science. Overall, a total of 40 relevant studies were identified and analysed, corresponding to 33 unique workflows. The findings highlight (a) the limited effort spent by the research community to propose and communicate workflows oriented to match open science requirements, and (b) the different nuances of the meaning and understanding of open science and the resulting gap between its theoretical aspects and its practical application to the research processes.DOI: https://doi.org/10.32079/isti-tr-2022/026
DOI: 10.32079/isti-tr-2022/026
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2022
Other
Restricted
Comparison of federated solutions for distributed infrastructures
Candela L, Castelli D, Mangione D
Federations are an effective mechanism for jointly contributing to a service offering, integrating resources provided by the different federation members. As the open science and the open innovation paradigms are increasingly pursued at the European level, the European Open Science Cloud (EOSC) has been envisaged as a federation of systems for creating a solution fully supporting the research data life cycle across borders and disciplines. This study analyses the federation approaches and solutions adopted by 11 of the major European federated research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) selected for their representativity following their service offering type and thematic area of expertise. A classification of federated and federating services is proposed in order to highlight the action areas that are to be considered when pursuing the creation of a federated infrastructure with the objective of enabling open science and open innovation.DOI: https://doi.org/10.32079/isti-tr-2022/024
DOI: 10.32079/isti-tr-2022/024
Project(s): Blue Cloud, EOSC-Pillar , DESIRA
Metrics:
Candela L, Castelli D, Mangione D
Federations are an effective mechanism for jointly contributing to a service offering, integrating resources provided by the different federation members. As the open science and the open innovation paradigms are increasingly pursued at the European level, the European Open Science Cloud (EOSC) has been envisaged as a federation of systems for creating a solution fully supporting the research data life cycle across borders and disciplines. This study analyses the federation approaches and solutions adopted by 11 of the major European federated research infrastructures (CLARIN, D4Science, EGI, ELIXIR, ENVRI, EPOS, Gaia-X, GEANT, GEOSS, OpenAIRE and PaNOSC) selected for their representativity following their service offering type and thematic area of expertise. A classification of federated and federating services is proposed in order to highlight the action areas that are to be considered when pursuing the creation of a federated infrastructure with the objective of enabling open science and open innovation.DOI: https://doi.org/10.32079/isti-tr-2022/024
DOI: 10.32079/isti-tr-2022/024
Project(s): Blue Cloud
, EOSC-Pillar , DESIRA Metrics: