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reproducr - Behavioural Reproducibility Auditing for R Projects

Audits R scripts for behavioural reproducibility risk. Scans scripts for qualified package::function calls and checks them against a curated database of known silent breaking changes across popular CRAN packages. Flags stochastic calls lacking set.seed() and detects locale-sensitive operations that may produce different results across systems. Supports baseline certification of analytical outputs so that silent numerical drift can be detected across package upgrades or platform changes. Generates human-readable audit reports suitable for academic submission or pharmaceutical QC workflows. For more details see <https://github.com/repro-stats/reproducr>.

Last updated

auditci-cdrenvreproducibilityreproducible-workflows

5.27 score 1 stars 15 scripts 154 downloads

lineager - Row-Level Data Provenance and Exclusion Tracking

Provides row-level data provenance tracking for analytical pipelines. Tags datasets with unique lineage identifiers that persist through filter, join, and derive operations. Requires documented reasons for every row exclusion, capturing who was removed, why, and at which pipeline stage. Variable derivations are registered as structured specifications linking output variables back to their source. Any row in any downstream dataset can be traced back to its origin via lg_trace(). Generates structured HTML provenance reports suitable for regulatory submissions, internal audit, or analytical documentation. General-purpose: works for clinical data, machine learning pipelines, financial modelling, epidemiology, or any workflow where row-level accountability matters. Optional features support pharmaceutical users including population flag definitions, source-to-analysis variable mapping, and Reviewer's Guide-aligned report output. Complements the 'regulog' package for tamper-evident session-level audit logging. For more details see <https://reprostats.org/lineager/>.

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adamaudit-trailcdiscclinical-trialsdata-provenancepharmareproducibilitysdtm

5.08 score 1 stars

regulog - Tamper-Evident Audit Logging for Regulated Environments

Provides tamper-evident, hash-chained audit logging for analytical applications. Every log entry is linked via an 'SHA-256' hash to its predecessor, making insertions, deletions, and modifications detectable. Covers user attribution, timestamp integrity, mandatory reason capture, chain verification, structured export, and 'shiny' session instrumentation. For more details see <https://reprostats.org/regulog/>. Suitable for any context where accountability and traceability matter: regulated environments (21 CFR Part 11, EU Annex 11), internal tooling, data pipelines, and multi-user 'shiny' applications. Ships with optional qualification scripts (IQ, OQ, PQ) for use in validated computerised systems.

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21-cfr-part-11audit-loggxphash-chainreproducibilityshinytemper-evidentvalidated-systems

4.88 score 1 stars 257 downloads