De-Identifying Government Datasets

Garfinkel, S., Near, J., Dajani, A., Singer, P., & Guttman, B. (2023). De-Identifying Government Datasets: Techniques and Governance.

Type

Report

Intellectual base

Grey literature

Year

2023

DOI

10.6028/nist.sp.800-188

DOI registrant

National Institute of Standards and Technology

Link

https://doi.org/10.6028/NIST.SP.800-188

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Mechanisms

• Field-Level Redaction
  • Under-redaction leaves enough quasi-identifiers that the withheld fields can be inferred

    This sourceExplains that remaining quasi-identifiers and linked auxiliary data can permit re-identification and inference after direct identifiers are removed.

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Registry ID ref:8e21d20c3596 · see in the full table