Findability is a core principle of the FAIR principles, yet, researchers often report that data discovery is difficult. One of the reasons for this is that data discovery goes beyond the question of metadata quality and involves a diverse, often overlapping infrastructure. In a rapidly expanding ecosystem of research data, it can be easy to get overwhelmed in the flood of data. The GO FAIR Implementation Network on Discovery addresses this challenge. The main purpose of the Discovery IN is to provide interfaces and other user-facing services for data discovery across disciplines. In this workshop by the Discovery IN, we want to discuss our progress in this regard. In particular, we will focus on (a) a large scale collection of data discovery use cases and (b) an architecture for an open ecosystem of e-infrastructures for data discovery. The format of the workshop will be a presentation of the current state of our work followed by an extended discussion. GO FAIR Discovery Implementation Network

Discovery: FAIR's next frontier

Bardi A.
2021

Abstract

Findability is a core principle of the FAIR principles, yet, researchers often report that data discovery is difficult. One of the reasons for this is that data discovery goes beyond the question of metadata quality and involves a diverse, often overlapping infrastructure. In a rapidly expanding ecosystem of research data, it can be easy to get overwhelmed in the flood of data. The GO FAIR Implementation Network on Discovery addresses this challenge. The main purpose of the Discovery IN is to provide interfaces and other user-facing services for data discovery across disciplines. In this workshop by the Discovery IN, we want to discuss our progress in this regard. In particular, we will focus on (a) a large scale collection of data discovery use cases and (b) an architecture for an open ecosystem of e-infrastructures for data discovery. The format of the workshop will be a presentation of the current state of our work followed by an extended discussion. GO FAIR Discovery Implementation Network
2021
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Open Science
Data discovery
File in questo prodotto:
File Dimensione Formato  
20210621_Discovery_FAIRs_Next_Frontier_PeterKraker-AlessiaBardi-BrigitteMathiak.pdf

accesso aperto

Licenza: Creative commons
Dimensione 1.52 MB
Formato Adobe PDF
1.52 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/574028
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact