Training Manual for RAISE

REDCap and R Integration for Scientific Excellence

Welcome

Welcome to Training Manual for RAISE: REDCap and R Integration for Scientific Excellence. This collection of documents covers our recommendations for conducting research at your institution using R and REDCap.

As we write this manual, we hope you feel comfortable editing existing material or adding new lessons, in order to improve the quality of all our work.

How to Contribute

We welcome suggestions, edits, and larger contributions to this guide. This book is typeset in Markdown, rendered with Quarto, and hosted on GitHub. For errors or requests, please submit an Issue to the book’s issue tracker. To make larger or direct contributions, please make a pull request using the standard GitHub workflow.

If you would like to contribute but are unfamiliar with any of these technologies, please email an editorial committee member.

How to Cite this Work

Balise R, Beasley WH, Yeaman K (Eds.) (2024). Training Manual for RAISE: REDCap and R Integration for Scientific Excellence. DOI: 10.5281/zenodo.14047108

Editorial Committee:

• William H. Beasley: November 2024 - present
• Kiley Yeaman: November 2024 - present
• Raymond Balise: November 2024 - present

To cite the REDCap software, please see the suggestions at https://projectredcap.org/resources/citations/.

Licensing

This book is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International. Individual chapters are as well, unless otherwise noted.