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Review
. 2021 Jan 8;2(1):100180.
doi: 10.1016/j.patter.2020.100180.

Connected Research: The Potential of the PID Graph

Helena Cousijn  1 , Ricarda Braukmann  2 , Martin Fenner  1 , Christine Ferguson  3 , René van Horik  2 , Rachael Lammey  4 , Alice Meadows  5 , Simon Lambert  6
Affiliations
Review

Connected Research: The Potential of the PID Graph

Helena Cousijn et al. Patterns (N Y). .

Abstract

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.

Keywords: DSML 4: Production: Data science output is validated, understood, and regularly used for multiple domains/platforms.

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Conflict of interest statement

H.C., M.F., and R.L. work for organizations that provide PIDs for research outputs. H.C. is a member of the Patterns Advisory Board.

Figures

Figure 1
Figure 1
Connections between Entities in the PID Graph, August 2020
See this image and copyright information in PMC

References

    1. Riungu-Kalliosaari L., Hooft R., Kuijpers S., Parland-von Essen J., Tana J. D2.4. 2nd Report on FAIR requirements for persistence and interoperability. Zenodo. 2020 doi: 10.5281/zenodo.4001631. - DOI
    1. Hellström M., Heughebaert A., Kotarski R., Manghi P., Matthews B., Ritz R., Conrad A.S., Weigel T., Wittenburg P., Valle M. Second draft persistent identifier (PID) policy for the European open science Cloud (EOSC) (version 2.0) Zenodo. 2020 doi: 10.5281/zenodo.3780423. - DOI
    1. Wilkinson M., Dumontier M., Aalbersberg I.J., Appleton G., Axton M., Baak A., Blomberg M., Boiten J.-W., da Silva Santos L.B., Bourne P.E. The FAIR guiding principles for scientific data management and stewardship. Sci. Data. 2016;3:160018. - PMC - PubMed
    1. Koers H., Bangert D., Hermans E., van Horik R., de Jong M., Mokrane M. Recommendations for services in a FAIR data ecosystem. Patterns. 2020;1:100058. - PMC - PubMed
    1. FORCE11 (n.d.). Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing Version b1.0. https://www.force11.org/fairprinciples.

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