Diagnose
Nexus Index
Use Nexus Index across records to assess whether their metadata supports discovery, attribution, and reuse by people and AI.

Nexus Index shows whether a research record has the complete, machine-readable metadata needed for discovery, attribution, and reuse by people and AI.
Start with the index. See the gap. Choose the fix. Repair the record once.
Example research record
10.0000 / open.record.2026
Two audiences
Highly connected
Strong record links support attribution, access, and responsible reuse.
Provenance
DOIs, references, source
People
Authors and ORCIDs
Organizations
Affiliations and ROR
Funding
Funders and grant IDs
Access
Licences and text routes
Next action: Resolve missing funder and grant identifiers to strengthen traceability.
Good questions
Clear boundaries make the diagnostic more useful: it measures the record’s reuse readiness, not the prestige or quality of the research.
Metadata readiness≠research quality
No. The open methodology does not judge scientific merit, peer review, citations, journal prestige, or an author's quality. It diagnoses whether the open scholarly record exposes the connections needed for attribution, reading, and reuse.
A reusable record has enough structured, resolvable, and queryable information for people and machines to find the work, understand its provenance, reach its materials, and build on it responsibly.
Nexus Score is informed by FAIR Data and FORCE11 Data Citation principles. These are reference points, not pass/fail standards or certifications. Nexus Score uses observable record signals to assess broader metadata readiness and completeness for people and AI.
Our current products and services are designed for publishers, institutions, AI companies, and scholarly service providers. Researcher- and funder-specific experiences are in development.
No. Nexus API checks reuse readiness in real time, while Nexus MCP measures agentic reuse with provenance and evidence. Neither can invent a missing author, institution, funder, or reference connection. Nexus Fix recovers missing metadata from published records so corrected information can support downstream tools.
The Nexus Index platform
Actionable insights
Nexus Index turns a record-level assessment into practical tools and services for the organizations that publish, manage, process, and power the discovery of research.
Diagnose
Use Nexus Index across records to assess whether their metadata supports discovery, attribution, and reuse by people and AI.
Prioritise
Turn every missing signal into a field-level recommendation, documentation, and an ordered action plan.
Recover
Recover metadata from open sources, resolve identities and links, and prepare corrected metadata for submission to the relevant registry or platform.
Check
Run real-time reuse checks inside production workflows as records are published, ingested, transformed, or served.
Measure
Measure agentic reuse through a COUNTER-style service, with provenance and evidence for how AI agents access and use scholarly records.
Fix once at the substrate. Flow everywhere downstream.
Crossref · DataCite · ORCID · ROR → open scholarly graph → discovery tools and AI agents
For the scholarly community
Whether you create, publish, fund, steward, process, or build discovery systems for research, Nexus Index turns metadata gaps into action that your part of the community can take.
Are we getting what we pay for?
See whether publisher agreements translate into discoverability, whether affiliations resolve to your institution, and which gaps create manual reconciliation work.
Discuss this solutionWhat you can do
Audit publisher metadata before agreements and renewals
Trace ROR, ORCID, and affiliation coverage across outputs
Identify records your CRIS cannot ingest automatically
Outcome
Stronger visibility, better agreement evidence, and less manual cleanup.
Why Nexus Index exists
Our 2026 attribution study tested the mechanism directly: when a metadata connection was hidden, the related task failed; restoring the matching connection recovered it.
625
records in the mixed pilot corpus
A deliberately uneven scholarly substrate.
469 tests
no mismatched restorations succeeded
Changing the wrong metadata facet restored none of the related tasks.
400 tests
no hidden-author links recovered
Additional search and compute recovered none of the missing author connections.
The Nexus Index use case: diagnose the missing connection, prioritise the repair, recover the metadata, then validate reuse readiness where the record is published or consumed.
Built in conversation with the community
We make the product’s scope, evidence, assumptions, and limitations clear so the scholarly community can understand what it does, challenge its approach, and help improve its direction.
The product's signals, assumptions, evidence, and limitations are clearly explained.
The product direction is shaped through scrutiny, discussion, and partnership.
A new journal can build complete records from day one; no citation history required.
Developed with the scholarly commons protected at its core.
Institutions · Publishers · AI companies · Service providers
See how complete, connected metadata can improve discovery, attribution, and reuse.
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