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<meta property="og:description" content="Originally forked from the R part of REDCapRITS by Paul Egeler. See &lt;https://github.com/pegeler/REDCapRITS&gt;. REDCap database casting and handling of castellated data when using repeated instruments and longitudinal projects. Keeps a focused data export approach, by allowing to only export required data from the database. REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) &lt;doi:10.1016/j.jbi.2008.08.010&gt;; Harris et al (2019) &lt;doi:10.1016/j.jbi.2019.103208&gt;).">
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<a class="navbar-brand me-2" href="index.html">REDCapCAST</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">24.4.1</small>
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</div>
<p>REDCap database casting and handling of castellated data when using repeated instruments and longitudinal projects.</p>
<p>This package is a fork of <a href="https://github.com/pegeler/REDCapRITS" class="external-link">pegeler/REDCapRITS</a>. The REDCapRITS represents great and extensive work to handle castellated REDCap data in different programming languages. This fork is purely minded on R usage and includes a few implementations of the main <code>REDCap_split</code> function.</p>
<p>This package is very much to be seen as an attempt at a R-to-REDCap-to-R foundry for handling both the transition from dataset/variable list to database and the other way, from REDCap database to a tidy dataset. The goal was also to allow for a “minimal data” approach by allowing to filter records, instruments and variables in the export to only download data needed. I think this approach is desirable for handling sensitive, clinical data. Please refer to <a href="https://redcap-tools.github.io/" class="external-link">REDCap-Tools</a> for other great tools for working with REDCap in R.</p>
<p>I started working on this project as the castellated longitudinal data set was a little challenging. Later, I have come to learn of the <a href="https://github.com/vubiostat/redcapAPI" class="external-link"><code>redcapAPI</code></a> package, which would also cover this functionality. I find the <code>redcapAPI</code>package quite advanced and a little difficult to work with. This have led to the continued work on this package, as an easy-to-use approach for data migration, data base creation and data handling. This package is very much to be seen as an attempt at a R-to-REDCap-to-R foundry for handling both the transition from dataset/variable list to database and the other way, from REDCap database to a tidy dataset. The goal was also to allow for a “minimal data” approach by allowing to filter records, instruments and variables in the export to only download data needed. I think this approach is desirable for handling sensitive, clinical data. Please refer to <a href="https://redcap-tools.github.io/" class="external-link">REDCap-Tools</a> for other great tools for working with REDCap in R.</p>
<p>For any more advanced uses, consider using the <code>redcapAPI</code> package.</p>
<div class="section level2">
<h2 id="use-and-immprovements">Use and immprovements<a class="anchor" aria-label="anchor" href="#use-and-immprovements"></a>
</h2>
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<p>Developed by Andreas Gammelgaard Damsbo, Paul Egeler.</p>
<p>Developed by Andreas Gammelgaard Damsbo, Paul Egeler.</p>
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