Direct comparison
FAIR vs CARE Data Principles Compared
FAIR governs technical data reusability; CARE governs Indigenous Peoples' authority over their data. Complementary principles, not alternatives.
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How do FAIR, CARE compare side by side?
The table below compares FAIR, CARE across 8 procurement-relevant dimensions, from acronym through relationship to each other.
Side-by-side comparison
| Dimension | FAIR | CARE |
|---|---|---|
| Acronym | Findable, Accessible, Interoperable, Reusable | Collective Benefit, Authority to Control, Responsibility, Ethics |
| Published | 2016 (Wilkinson et al., Scientific Data) | Introduced 2019, published 2020, by the Global Indigenous Data Alliance (GIDA) |
| What it governs | Technical/infrastructural data quality and machine-actionable reuse | Indigenous Peoples' rights, authority, and interests over data concerning them |
| Silent on | Whether data should be shared, restricted, or by whose authority | Technical formatting, metadata standards, machine-readability |
| Stewarded by | Broad research-data community (GO FAIR, Research Data Alliance, funders) | Global Indigenous Data Alliance (GIDA) |
| Applies to | Research data generally | Indigenous data specifically — data about Indigenous Peoples, lands, resources, and knowledge |
| When they conflict | Pushes toward maximal openness by default | Takes precedence for Indigenous data — community authority governs access regardless |
| Relationship to each other | Necessary but not sufficient for ethical Indigenous data governance | A required complement to FAIR, not a replacement for it |
Common questions
Common questions about FAIR vs CARE
Are FAIR and CARE alternatives to choose between?
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No. They answer different questions about the same dataset — FAIR asks whether it is technically reusable, CARE asks who has authority over it and why. Applying "FAIR and CARE" together is the standard recommendation, not a choice of one over the other.
Can a dataset be FAIR without being CARE-compliant?
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Yes, and that is precisely the gap CARE was created to close — a dataset can be technically findable, accessible, interoperable, and reusable while still failing to respect Indigenous Peoples' rights to govern data about themselves.
Who authored the CARE Principles?
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The Global Indigenous Data Alliance (GIDA), which introduced them in 2019 and published the formal principles in 2020, building on decades of Indigenous data sovereignty advocacy.
