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Publication . Preprint . 2020

Data Repository Selection: Criteria That Matter

Sansone, Susanna-Assunta; McQuilton, Peter; Cousijn, Helena; Cannon, Matthew; Chan, Wei Mun; Callaghan, Sarah; Carnevale, Ilaria; +16 Authors
Open Access   English  
Published: 13 Oct 2020
Publisher: Zenodo
Representatives from journals, journal publishers and scholarly communication organisations have come together in the FAIRsharing Community to propose a set of criteria for the identification and selection of those data repositories that accept research data submissions. These repositories can be recommended to researchers when they are preparing to release and publish the data underlying their findings. This work intends to (i) reduce complexity and inconsistencies for researchers in journal data policies, (ii) increase efficiency for data repositories that currently have to work with all individual publishers, and (iii) simplify the process of recommending data repositories by publishers. This work will make the implementation of research data policies more efficient and consistent, which may help to improve approaches to data sharing through the promotion and the use of reliable and sustainable data repositories.
Subjects by Vocabulary

ACM Computing Classification System: GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)


Repositories, Publishers, Data policy, Criteria, FAIRsharing, FAIR Principles, Standardisation, TRUST, Core Trust Seal (CTS), Data sharing, Reproducibility, Research Data Alliance (RDA), Force11

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