Casting metadata for REDCap database creation and handling of 
    castellated data using repeated instruments and longitudinal projects in 
    'REDCap'. Keeps a focused data export approach, by allowing to only export 
    required data from the database. Also for casting new REDCap databases based 
    on datasets from other sources.
    Originally forked from the R part of 'REDCapRITS' by Paul Egeler. 
    See <https://github.com/pegeler/REDCapRITS>.
    '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) <doi:10.1016/j.jbi.2008.08.010>; 
    Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).

REDCap Data Management - 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application developed at Vanderbilt University, designed for creating and managing online surveys and databases and the REDCap API is an interface that allows external applications to connect to REDCap remotely, and is used to programmatically retrieve or modify project data or settings within REDCap, such as importing or exporting data. REDCapDM is an R package that allows users to manage data exported directly from REDCap or using an API connection. This package includes several functions designed for pre-processing data, generating reports of queries such as outliers or missing values, and following up on previously identified queries.

Export all data, including metadata, from a REDCap (Research
    Electronic Data Capture) Project via the REDCap API
    <https://projectredcap.org/wp-content/resources/REDCapTechnicalOverview.pdf>.
    The exported (meta)data will be processed and formatted into a stand-alone R
    data package which can be installed and shared between researchers.  Several
    default reports are generated as vignettes in the resulting package.