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Connected Research: The Potential of the PID Graph.
Cousijn, Helena; Braukmann, Ricarda; Fenner, Martin; Ferguson, Christine; van Horik, René; Lammey, Rachael; Meadows, Alice; Lambert, Simon.
Afiliação
  • Cousijn H; DataCite, Welfengarten 1B, 30167 Hannover, Germany.
  • Braukmann R; Data Archiving and Networked Services, Anna van Saksenlaan 51, 2593 HW Den Haag, the Netherlands.
  • Fenner M; DataCite, Welfengarten 1B, 30167 Hannover, Germany.
  • Ferguson C; The European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
  • van Horik R; Data Archiving and Networked Services, Anna van Saksenlaan 51, 2593 HW Den Haag, the Netherlands.
  • Lammey R; Crossref, New Road, Oxford OX1 1BY, UK.
  • Meadows A; National Information Standards Organization (NISO), 3600 Clipper Mill Road Suite 302, Baltimore, MD 21211-1948, USA.
  • Lambert S; UKRI-STFC, Scientific Computing Department, Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 0QX, UK.
Patterns (N Y) ; 2(1): 100180, 2021 Jan 08.
Article em En | MEDLINE | ID: mdl-33511369
Persistent identifiers (PIDs) provide unique and long-lasting references to entities. They enable unique identification persistently over time and hence play a crucial role in supporting the FAIR (Findable, Accessible, Interoperable, Reusable) principles. In this paper, we describe how the benefits of PIDs can be amplified by connecting them via their metadata. We are introducing the next step in PID infrastructure: the PID Graph. The PID Graph establishes connections between different entities within the research landscape, thereby enabling both researchers and institutions to access new information. The paper closes with three recommendations, which will help to optimize the use and value of PIDs within the research ecosystem.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article