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ReUseData

Bioc current

Reusable and reproducible Data Management

v1.12.0 · Package record · software · GPL-3

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

ReUseData is an _R/Bioconductor_ software tool to provide a systematic and versatile approach for standardized and reproducible data management. ReUseData facilitates transformation of shell or other ad hoc scripts for data preprocessing into workflow-based data recipes. Evaluation of data recipes generate curated data files in their generic formats (e.g., VCF, bed). Both recipes and data are cached using database infrastructure for easy data management and reuse. Prebuilt data recipes are available through ReUseData portal ("https://rcwl.org/dataRecipes/") with full annotation and user instructions. Pregenerated data are available through ReUseData cloud bucket that is directly downloadable through "getCloudData()".

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

22 19 exported

Complexity

4.8 avg / 16 max

Call network

22 nodes / 11 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

2,972

Files

56

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,299 (43.7%)Tests 128 (4.3%)Docs 782 (26.3%)Vignettes 763 (25.7%)

API

Exported functions

21

Internal functions

3

Testing

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

–

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-07-28

Latest release

2026-04-28

Avg cadence

175 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.17: 2,806 LOCv3.18: 2,972 LOCv3.19: 2,972 LOCv3.20: 2,972 LOCv3.21: 2,972 LOCv3.22: 2,972 LOCv3.23: 2,972 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 344 wordsVignettesYes · 3 · dynamicNEWSYes · 33% structuredCitation fileNo
Help pages
13includes a package overview page
Examples that run
64%7 run in a plain check · 3 never run · 1 hold no code
Exported functions with examples
92%
Documented parameters
100%
Return-value docs
92%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/rworkflow/reusedata on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, and on R-devel

Docs source (2)
pkgdown

GitHub Pages site last deployed 2023-11-23

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
meta_gcpdata.frame128 × 5No other package

All of ReUseData's data objects

Topics

Maintainer
Qian Liu

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ReUseData")
Liu, Q. (2026). ReUseData: Reusable and reproducible Data Management (Version 1.12.0) [Computer software]. https://bioconductor.org/packages/ReUseData

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ReUseData version 1.12.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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