# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "integrity" in publications use:' type: software license: GPL-3.0-only title: 'integrity: Assessing the Integrity and Trustworthiness of Clinical Trials Data' version: 1.0.1 doi: 10.32614/CRAN.package.integrity abstract: The integrity package implements the IPD Integrity Tool, a structured and transparent framework for evaluating the integrity of individual participant data (IPD) from randomised trials (see Hunter et al. (2024) and ). It supports users to identify potential issues, such as unusual data patterns, implausible values, lack of expected correlations, date violations, and inconsistencies. The package provides reproducible workflows for screening, documenting and summarising integrity concerns, and may be applied by evidence synthesists, editors, and others to determine whether a randomised trial may be considered sufficiently trustworthy to contribute to the evidence base that informs policy and practice. authors: - family-names: Libesman given-names: Sol email: sol.libesman@sydney.edu.au - family-names: Hunter given-names: Kylie email: kylie.hunter@sydney.edu.au - family-names: Nguyen given-names: David email: david.nguyen1@sydney.edu.au - family-names: Strbenac given-names: Dario email: dario.strbenac@sydney.edu.au - family-names: Seidler given-names: Anne Lene email: AnnaLene.Seidler@med.uni-rostock.de - family-names: Kang given-names: Jie email: jie.kang@sydney.edu.au repository: https://sollibesman.r-universe.dev commit: 887c5c9daf994cd632746142700a3f9cced5b267 url: https://github.sydney.edu.au/Charles-Perkins-Centre-Data-Science-Hub/CPCDASH0010 date-released: '2026-05-19' contact: - family-names: Libesman given-names: Sol email: sol.libesman@sydney.edu.au