The FAIR Guiding Principles for Scientific Data Management and Stewardship.

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., et al. (2016). The FAIR Guiding Principles for Scientific Data Management and Stewardship. Scientific Data.

Type

Journal article

Intellectual base

Primary research

Year

2016

DOI

10.1038/sdata.2016.18

DOI registrant

Springer Nature

Link

https://doi.org/10.1038/sdata.2016.18

Cited from

systems_cybernetics

Cited by

5 citations across 5 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Open Publication for Interoperability
  • In open scientific data, deposits on repositories carry open licenses, persistent handles, and structured metadata — the discipline often restated as a domain-specific acronym that is, in effect, the bundle named for the data substrate.

    This sourceDefines the FAIR principles (Findable, Accessible, Interoperable, Reusable) — the open-publication bundle named for the data substrate, with persistent identifiers, open access, and machine-readable metadata.

    Supported in partVerified against the work's full text

    FAIR supports persistent identifiers and rich metadata for deposited data and a clear usage license, but requires a clear license rather than an open one.

    “F1. (meta)data are assigned a globally unique and persistent identifier”

    Read by an automated reader; not a human review. How support was checked

Domain-specific

• Open Availability
  • Research data — the FAIR principles (Findable, Accessible, Interoperable, Reusable) formalize three of the four commitments for scientific datasets.

    Supported in partVerified against the work's full text

    “Findable, Accessible, Interoperable, and Reusable. We anticipate that these high level principles will enable a broad range of integrative and exploratory behaviours, based on a wide range of technology choices and implementations.”

    Read by an automated reader; not a human review. How support was checked

Mechanisms

• Metadata Harvesting Endpoint
  • The discipline that keeps it honest is to keep records rich, fresh, and identifier-anchored, support incremental harvest so mirrors actually update, and watch what aggregators ingest — the F and A of the FAIR principles (Findable, Accessible) are exactly what a harvesting endpoint is for.
• Public Artifact Registry
  • Its strength is replacing private contacts with open discovery and letting consumers evaluate before committing — the Findable and Accessible half of the FAIR principles, made operational.

    This sourceDefines FAIR's Findable and Accessible principles through persistent identification, searchable registration, and retrieval by standardized protocols.

• Resolver Landing Page
  • It is what operationalizes the "Findable" and "Accessible" promises of the FAIR principles:

    This sourceShows a FAIR implementation in which a persistent identifier resolves to a metadata-rich landing page supporting findability and accessibility.

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Read against the text for 2 of 5 citations: 2 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.

Was it audited? Yes. A second, independent pass read the citation against the article text and recorded a verdict.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Registry ID ref:81e90ce22290 · see in the full table