Research data provenance as a blockchain use case
How tamper-evident logs and pre-committed artefacts support the provenance, reproducibility, and integrity of biomedical research datasets.
What this use case covers
Research data provenance projects in the directory are those that apply ledger-backed components to the origin, integrity, and audit trail of biomedical research datasets. The category includes pre-registration tooling, dataset commit and version logging, access audits, and result provenance tracking.
Why provenance fits well
Research provenance is a good fit because the requirements are concrete and the benefits are directly inspectable. Pre-committing an analysis plan hash before unblinding makes the claim that the analysis was pre-specified verifiable by external parties. Timestamping dataset versions makes the claim that data was not altered after analysis visible. Logging access events makes the claim that only authorised parties accessed the data checkable. These are useful properties and the ledger is a credible way to provide them.
What the ledger does not replace
Data quality, statistical soundness, and scientific rigour are not provenance properties. A provenance log makes the history of the data visible. It does not say anything about whether the data or analysis was good. Projects that elide that distinction are over-representing what the technology contributes.
Governance of provenance registries
A provenance registry has to be governed. Someone decides what is admissible, who can commit artefacts, how disputes about the record are resolved, and how the registry persists if the operating organisation changes. Projects that engage with that governance explicitly are in a more credible position than projects that present the ledger as self-governing.
Directory posture
Research data provenance is a segment with real deployments and a clear problem. Confidence labels reflect the maturity of the deployment, the seriousness of the governance design, and the scope of the research workflows supported. Inclusion is not endorsement.