Research Data
Research DataResearch-Data
Providers using this tag (156)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 77 Usable, with meaningful gaps to close
Thin 58 Limited public surface area
Emerging 12 Early or largely undocumented
Minimal 2 Almost no public developer surface
APIs with this tag (269)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Exemplar 1 Complete, well-documented, and agent-ready
Strong 10 Solid coverage with minor gaps
Developing 124 Usable, with meaningful gaps to close
Thin 112 Limited public surface area
Emerging 22 Early or largely undocumented
Companies reaching this through an API (40)
These companies publish an API, specification or operation carrying “Research Data” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 156 providers in the APIs.io catalog tagged Research Data, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 37.5 | 19.8 | +17.7 | 156 |
| Access Clarity | 43.5 | 26.5 | +17 | 156 |
| Operational Transparency | 23.9 | 14 | +9.9 | 156 |
| Contract Governance | 15.3 | 6.4 | +8.9 | 156 |
| Developer Ergonomics | 29.6 | 23.4 | +6.2 | 156 |
| Discoverability | 66.7 | 61.2 | +5.5 | 156 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 0% | 10% | -10 |
| MCP server (first-party) | 0% | 13% | -13 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 33% | 11% | +22 |
| Security | 100% | 97% | +3 |
| Arazzo workflows | 0% | 2% | -2 |
| Governance rules | 52% | 14% | +38 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 University of Waterloo 66.5
- 2 Delft University of Technology 65.2
- 3 University of Michigan-Ann Arbor 59.2
- 4 University of Twente 59.1
- 5 University of California, San Diego 56.9
- 6 TU Wien 56.2
- 7 University of Cambridge 55.2
- 8 University of Helsinki 54.1
- 9 University of Minnesota 53.4
- 10 University of Warsaw 52.9
- 1 Columbia University 41.7
- 2 University of Amsterdam 33.5
- 3 Hong Kong University of Science and Technology 33.3
- 4 University of Maryland College Park 33.3
- 5 University of California, San Francisco 33.3
- 6 Massey University 33.3
- 7 Figshare 33.1
- 8 University of Chicago 33.1
- 9 Cornell University 32.5
- 10 Newcastle University 32.5
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.