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v2026.11,772 entries · CC-BY 4.0
Dictionary termTrack BProposedv2026.2

National data infrastructure

A coordinated, nationally-scoped programme and set of services for the storage, sharing, and reuse of research data within a country, typically combining funding policy, technical infrastructure (repositories, compute, federation), training, and governance.

ByCASRAI Editorial Board
· Last updated 23 Aug 2026
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Examples

Worked examples

  • Is an instance

    The Australian Research Data Commons (ardc.edu.au).

  • Is an instance

    Germany's NFDI consortia covering chemistry, biodiversity, physics, social sciences, and more.

Counter-examples

Looks similar, but isn't

  • Not an instance

    A single university repository is not a national data infrastructure.

  • Not an instance

    An individual private cloud account is not a national data infrastructure.

Editorial commentary

A national data infrastructure is a funder- or government-established programme that coordinates research-data services at country scale, rather than a single technical architecture pattern for one dataset. These programmes emerged through national research-funder strategies in the 2010s, and typically combine domain-specific data services (subject-area repositories, discipline-specific data commons) with shared cross-domain infrastructure — persistent-identifier services, authentication and authorisation federations (AAI), and researcher training — under one coordinating umbrella.

Real examples

The UK Data Service, Australia’s Australian Research Data Commons (ARDC), Germany’s NFDI (Nationale Forschungsdateninfrastruktur), the Netherlands’ Health-RI, France’s Recherche Data Gouv, and Canada’s DRI Alliance together with its Federated Research Data Repository (FRDR) are established examples. Each coordinates a national network of institutional and disciplinary services rather than operating as a single centralised repository itself.

How this differs from a data commons, hub, or lake

A data commons, data hub, and data lake are architecture patterns for organising one dataset or dataset ecosystem — how data is stored, harmonised, or made computable. A national data infrastructure operates a level above that: it is the institutional and funding programme that may itself commission, fund, or federate several such systems across a country’s research sector, alongside non-architectural functions like training, governance policy, and PID-service coordination that don’t fit the ‘one dataset, one pattern’ framing at all.

International federation

National data infrastructures increasingly plug into the European Open Science Cloud (EOSC) or equivalent supranational federations, so that services built for one country’s research sector remain discoverable and interoperable across borders rather than becoming isolated national silos.

References

  • OECD, ‘Building digital workforce capacity and skills for data-intensive science’ (OECD Science, Technology and Industry Policy Papers, 2020).
  • NFDI, ‘About NFDI’ (nfdi.de).

Also known as

NRI · National research data infrastructure

Machine-readable encodings

Use in your systems

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Schema.org DefinedTerm (JSON-LD)
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Referenced across the research world

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