redcapcast
REDCap Metadata Casting and Castellated Data Handling inR
Science Score: 23.0%
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
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○Scientific vocabulary similarity
Low similarity (13.5%) to scientific vocabulary
Last synced: 11 months ago
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Repository
REDCap Metadata Casting and Castellated Data Handling inR
Basic Info
- Host: GitHub
- Owner: agdamsbo
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://agdamsbo.github.io/REDCapCAST/
- Size: 9.26 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 12
- Releases: 0
Created over 3 years ago
· Last pushed over 1 year ago
https://github.com/agdamsbo/REDCapCAST/blob/main/
[](https://github.com/agdamsbo/REDCapCAST) [](https://CRAN.R-project.org/package=REDCapCAST) [](https://doi.org/10.5281/zenodo.8013984) [](https://github.com/agdamsbo/REDCapCAST/actions/workflows/rhub.yaml) [](https://github.com/agdamsbo/REDCapCAST/actions/workflows/R-CMD-check.yaml) [](https://github.com/agdamsbo/REDCapCAST/actions/workflows/pages/pages-build-deployment) [](https://cran.r-project.org/package=REDCapCAST) [](https://lifecycle.r-lib.org/articles/stages.html) [](https://app.codecov.io/gh/agdamsbo/REDCapCAST) # REDCapCAST packageCasting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in REDCap. This is implemented with - An app-interface for easy database creation [accessible here](https://agdamsbo.shinyapps.io/redcapcast/) or available to run locally with `shiny_cast()` allowing you to easily create a REDCap database based on an existing spreadsheet. - Export data from REDCap in different formats handling castellated data, and on default only export requested data, this is mainly through `read_redcap_tables()`. REDCapCAST was initially build on, and still includes code from [pegeler/REDCapRITS](https://github.com/pegeler/REDCapRITS), and relies on functions from the [`REDCapR`](https://ouhscbbmc.github.io/REDCapR/)-project ## History This package was originally forked from [pegeler/REDCapRITS](https://github.com/pegeler/REDCapRITS). The `REDCapRITS` represents great and extensive work to handle castellated REDCap data in different programming languages. REDCapCAST has evolved into much more than just handling castellated data and so has been detatched from the original project while still relying on the main `REDCap_split` function. All access to the REDCap database is build on the outstanding work in [`REDCapR`](#0). This package really started out of frustration during my PhD in health science hearing colleagues complaining about that "castellated" data formatting of REDCap exports when doing longitudinal projects and being used to wide data. This led to some bad decisions in building databases avoiding repeated instruments. This package solves these challenges, but solutions are also implemented else where like the [redcapAPI](https://github.com/vubiostat/redcapAPI) or [REDCapTidieR](https://github.com/CHOP-CGTInformatics/REDCapTidieR) packages, which are bigger project. To help new PhD students and other researchers, I have also worked on creating a few helper/wrapper-functions to ease data access. Documentation is on it's way. For any more advanced uses, consider using the [`redcapAPI`](https://github.com/vubiostat/redcapAPI) or [`REDCapR`](https://ouhscbbmc.github.io/REDCapR/) packages. ## Future The plan with this package is to be bundled with a Handbook on working with REDCap from R. This work is in progress but is limited by the time available. Please feel free to contact me or create and issue with ideas for future additions. ## Installation and use The package is available on CRAN. Install the latest version: ``` install.packages("REDCapCAST") ``` Install the latest version directly from GitHub: ``` require("remotes") remotes::install_github("agdamsbo/REDCapCAST") ``` Launch the REDCapCAST app interface directly on your own machine: ``` REDCapCAST::shiny_cast() ``` ## Code of Conduct Please note that the REDCapCAST project is released with a [Contributor Code of Conduct](https://agdamsbo.github.io/REDCapCAST/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.
Owner
- Name: Andreas Gammelgaard Damsbo
- Login: agdamsbo
- Kind: user
- Location: Aarhus, Denmark
- Website: https://andreas.gdamsbo.dk/
- Repositories: 69
- Profile: https://github.com/agdamsbo
MD, clinical researcher, opensource-enthusiast.
GitHub Events
Total
- Create event: 5
- Release event: 4
- Issues event: 15
- Watch event: 1
- Issue comment event: 13
- Push event: 108
- Pull request event: 2
Last Year
- Create event: 5
- Release event: 4
- Issues event: 15
- Watch event: 1
- Issue comment event: 13
- Push event: 108
- Pull request event: 2
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 19
- Total pull requests: 12
- Average time to close issues: 26 days
- Average time to close pull requests: 3 minutes
- Total issue authors: 4
- Total pull request authors: 1
- Average comments per issue: 0.95
- Average comments per pull request: 0.0
- Merged pull requests: 12
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 13
- Pull requests: 2
- Average time to close issues: 4 days
- Average time to close pull requests: less than a minute
- Issue authors: 4
- Pull request authors: 1
- Average comments per issue: 0.85
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- agdamsbo (16)
- lorenzwalthert (1)
- wibeasley (1)
- fmarchais (1)
Pull Request Authors
- agdamsbo (12)
Top Labels
Issue Labels
enhancement (7)
documentation (1)
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 543 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 12
- Total maintainers: 1
cran.r-project.org: REDCapCAST
REDCap Metadata Casting and Castellated Data Handling
- Homepage: https://github.com/agdamsbo/REDCapCAST
- Documentation: http://cran.r-project.org/web/packages/REDCapCAST/REDCapCAST.pdf
- License: GPL (≥ 3)
-
Latest release: 25.3.2
published over 1 year ago
Rankings
Forks count: 28.2%
Dependent packages count: 28.3%
Stargazers count: 34.9%
Average: 35.5%
Dependent repos count: 36.9%
Downloads: 49.0%
Maintainers (1)
Last synced:
11 months ago
Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in REDCap.
This is implemented with
- An app-interface for easy database creation [accessible here](https://agdamsbo.shinyapps.io/redcapcast/) or available to run locally with `shiny_cast()` allowing you to easily create a REDCap database based on an existing spreadsheet.
- Export data from REDCap in different formats handling castellated data, and on default only export requested data, this is mainly through `read_redcap_tables()`.
REDCapCAST was initially build on, and still includes code from [pegeler/REDCapRITS](https://github.com/pegeler/REDCapRITS), and relies on functions from the [`REDCapR`](https://ouhscbbmc.github.io/REDCapR/)-project
## History
This package was originally forked from [pegeler/REDCapRITS](https://github.com/pegeler/REDCapRITS). The `REDCapRITS` represents great and extensive work to handle castellated REDCap data in different programming languages. REDCapCAST has evolved into much more than just handling castellated data and so has been detatched from the original project while still relying on the main `REDCap_split` function. All access to the REDCap database is build on the outstanding work in [`REDCapR`](#0).
This package really started out of frustration during my PhD in health science hearing colleagues complaining about that "castellated" data formatting of REDCap exports when doing longitudinal projects and being used to wide data. This led to some bad decisions in building databases avoiding repeated instruments. This package solves these challenges, but solutions are also implemented else where like the [redcapAPI](https://github.com/vubiostat/redcapAPI) or [REDCapTidieR](https://github.com/CHOP-CGTInformatics/REDCapTidieR) packages, which are bigger project.
To help new PhD students and other researchers, I have also worked on creating a few helper/wrapper-functions to ease data access. Documentation is on it's way.
For any more advanced uses, consider using the [`redcapAPI`](https://github.com/vubiostat/redcapAPI) or [`REDCapR`](https://ouhscbbmc.github.io/REDCapR/) packages.
## Future
The plan with this package is to be bundled with a Handbook on working with REDCap from R. This work is in progress but is limited by the time available. Please feel free to contact me or create and issue with ideas for future additions.
## Installation and use
The package is available on CRAN. Install the latest version:
```
install.packages("REDCapCAST")
```
Install the latest version directly from GitHub:
```
require("remotes")
remotes::install_github("agdamsbo/REDCapCAST")
```
Launch the REDCapCAST app interface directly on your own machine:
```
REDCapCAST::shiny_cast()
```
## Code of Conduct
Please note that the REDCapCAST project is released with a [Contributor Code of Conduct](https://agdamsbo.github.io/REDCapCAST/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.