With the provision of several tools and templates the MOSAIC project (DFG-Grant Number HO 1937/2-1) supports the implementation of a central data management in epidemiological research projects. The 'MOQA' package enables epidemiologists with none or low experience in R to generate basic data quality reports for a wide range of application scenarios. See <https://mosaic-greifswald.de/> for more information. Please read and cite the corresponding open access publication (using the former package-name) in METHODS OF INFORMATION IN MEDICINE by M. Bialke, H. Rau, T. Schwaneberg, R. Walk, T. Bahls and W. Hoffmann (2017) <doi:10.3414/ME16-01-0123>. <https://methods.schattauer.de/en/contents/most-recent-articles/issue/2483/issue/special/manuscript/27573/show.html>.

Various kinds of plots (observations, variables, correlations, weights, regression coefficients and Variable Importance in the Projection) and aids to interpretation (coefficients, Q2, correlations, redundancies) for partial least squares regressions computed with the 'pls' package, following Tenenhaus (1998, ISBN:2-7108-0735-1).

A standalone package combining several stop-word lists for 65 languages with a median of 329 stop words for language and over 1,000 entries for English, Breton, Latin, Slovenian, and Ancient Greek! The user automatically gets access to all the unique stop words contained in: the 'StopwordISO' repository; the 'Natural Language Toolkit' for 'python'; the 'Snowball' stop-word list; the R package 'quanteda'; the 'marimo' repository; the 'Perseus' project; and A. Berra's list of stop words for Ancient Greek and Latin.

Share R objects across processes on the same machine via a
    single copy in 'POSIX' shared memory (Linux, macOS) or a 'Win32' file
    mapping (Windows). Every process reads from the same physical pages
    through the R Alternative Representation ('ALTREP') framework, giving
    lazy, zero-copy access. Shared objects serialize compactly as their
    shared memory name rather than their full contents.