Making data findable

This site provides recommendations for making research data publications findable in common metadata flows so they can be discovered, linked, cited, and followed up over time. In this context, findability means that a data publication can be uniquely identified and reliably connected to the people involved (e.g. ORCID), the organisations involved (e.g. ROR), related outputs such as publications (e.g. DOI), and other relevant contexts (e.g. projects, grants, versions). In practice, this depends on persistent identifiers and structured, machine-readable metadata that travel between repositories, indexing services, and organisational systems. These recommendations are intended for: Researchers who publish, describe, and cite research data. Research organisations that provide policies, infrastructure, and support services for data publication.

Authors

Publication Details

Published
2026-02-26
DOI
https://doi.org/10.83264/zfmq-3h36
Citations
3
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
298.23
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article

Making data findable

Swedish National Data Service, KTH Royal Institute of Technology, University of Gothenburg
3 citations
Research Data Management Practices
298.23
article

Making data findable

Swedish National Data Service, KTH Royal Institute of Technology, University of Gothenburg
article en
3 citations

Abstract

This site provides recommendations for making research data publications findable in common metadata flows so they can be discovered, linked, cited, and followed up over time. In this context, findability means that a data publication can be uniquely identified and reliably connected to the people involved (e.g. ORCID), the organisations involved (e.g. ROR), related outputs such as publications (e.g. DOI), and other relevant contexts (e.g. projects, grants, versions). In practice, this depends on persistent identifiers and structured, machine-readable metadata that travel between repositories, indexing services, and organisational systems. These recommendations are intended for: Researchers who publish, describe, and cite research data. Research organisations that provide policies, infrastructure, and support services for data publication.

Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Research Data Management Practices
298.23
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