Open tools for quantitative anonymization of tabular phenotype data: literature review

Anna C Haber, Ulrich Sax, Fabian Prasser, Unknown

Open source

DOI: 10.1093/bib/bbac440
Published: 2022-10-10
Container: Briefings in Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1093/bib/bbac440,
  title = {Open tools for quantitative anonymization of tabular phenotype data: literature review},
  author = {Anna C Haber and Ulrich Sax and Fabian Prasser and Unknown},
  year = {2022},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbac440},
  url = {https://doi.org/10.1093/bib/bbac440}
}

RIS

TY  - JOUR
TI  - Open tools for quantitative anonymization of tabular phenotype data: literature review
AU  - Anna C Haber
AU  - Ulrich Sax
AU  - Fabian Prasser
AU  - Unknown
PY  - 2022
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbac440
UR  - https://doi.org/10.1093/bib/bbac440
ER  -

APA

Haber, A. C., Sax, U., Prasser, F., & Unknown (2022). Open tools for quantitative anonymization of tabular phenotype data: literature review. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbac440

Source records

crossref · retrieved 2026-09-25T03:41:46.560Z