Public registries are invaluable for due diligence, research, journalism and civic technology. But they are easy to make misleading when a data product turns a fragmented source into a single, overconfident answer.
Here is the practical checklist we use when turning public corporate and legal records into searchable research pages.
1. Preserve the source boundary
A record should show what the source says, when it was collected or updated, and which parts are calculated or normalized. A company name alone is not proof of identity; stable identifiers and source dates matter.
2. Keep URLs canonical
Large entity sites can accidentally create millions of duplicate URLs through parameters, legacy routes and alternate render paths. Each public record needs one indexable URL, a self-referencing canonical, and a clear redirect policy for retired paths.
3. Make the page useful without hiding the evidence
A strong entity page starts with the facts someone can verify: legal name, identifier, status, officers where public, update date and a path back to source material. It should distinguish a missing field from a negative finding.
4. Treat search as a research aid, not a verdict
Automated matches can surface a company or court record, but a match is not an accusation and a result may be incomplete. Good interfaces say this explicitly and make correction routes visible.
5. Publish methodology, not just records
We published a public collection of Israeli company-formation and closure trends, including methodology notes and reusable visualizations. The data is intended as a starting point for independent checking and research, not as a substitute for professional advice.
Explore the public trends collection: https://datacheck.co.il/trends
The underlying repository and documentation are available with attribution requirements: https://github.com/DataCheckResearch/israel-company-trends-data
What is the one provenance signal you look for before trusting a public-registry data product?
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