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Dataset and code records
Data and code get their own trust record, and their makers get credit when others reuse them.
A dataset or codebase is often the most reusable part of a study, and the least credited. A record shows who made it, who checked it, which versions changed what, and every paper and page that relies on it.
Datasetdoi:10.5281/zenodo.23298751 · v1.0.0 · IllustrativeMavacamten and systolic dysfunction in FAERSMade by De Oliveira, J. M. S. P. L.; Lima, L. B.; Santos, L. S. B.; and 2 others
Expert checkDocumentation, units and completenessPending
Replication attemptsNone registered yetNone yet
v1.0.0 · first versionNo earlier version to supersedeChanged
Reused byNone recorded yet
Reuse credit: each paper or page that cites it is counted on its makers’ profiles
How it works
Credit and checks that travel with the data
1RegisterLink a DOI or repository. Authors and maintainers are named.
2Get it checkedA verified expert checks documentation, units and completeness.
3Versions are trackedEach new version records what changed; anything citing the old one is told.
4Reuse is creditedEvery paper and page that uses it is counted on its makers’ profiles.
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