Making data findable

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Authors: Swedish National Data Service, Chalmers University of Technology, KTH Royal Institute of Technology, University of Gothenburg
Cited by: 3

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.

Fields of Study & Subjects

Research Data Management Practices Biomedical Text Mining and Ontologies Library Science and Information Systems

Publication details

Journal / source
Swedish National Data Service
Publication date
26 February 2026
Language
EN