ReUseData
Bioc currentReusable and reproducible Data Management
Release Lineage
Entered 3.17 · Apr 26, 2023
Current · Requires R 4.6
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()".
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.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
2,974
Files
98
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
21
Internal functions
3
Testing & CI
Has tests
Yes
Test-to-code ratio
0.10
testthat edition
3
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 82%
- Documented parameters
- 100%
- Return-value docs
- 92%
- References docs
- 0%
Topics
People
- Qian Liu author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ReUseData")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.