lifecycle GitHub release (latest by date) GitHub Release Date GitHub issues Codecov test coverage CodeFactor CII Best Practices

{manydata} is the central package in the many packages universe aimed at collecting, connecting, and correcting network data across issue-domains of global governance. To assist users in doing so, {manydata} contains functions that enable users to download and manipulate data easily.

Why manydata?

{manydata} offers users access to all of the tested data in the various ‘many packages’ available, for use in analyses of global governance and beyond. A special feature of the ‘many packages’ is that it is not ‘opinionated’ - instead of offering a single, supposedly authoritative version of global governance events, the packages in the many packages universe gather well-regarded datasets in each issue-domain into three-dimensional ‘datacubes’. The chief advantage of this for global governance researchers is that it enables a quick and easy way to check the robustness of their results using different formulations of the study population or concept specification. The ‘datacube’ structure has a specific coding system for the variables across the datasets. For more details, please see the vignette.

Downloading and installing manydata

The easiest way to install {manydata} is directly from CRAN.


The development version of the package {manydata} can also be downloaded from GitHub.

# install.packages("remotes")

Available ‘many packages’

{manydata} connects users to other packages that help fill global governance researchers’ data needs. The get_packages() function can be used to discover the ‘many packages’ currently available.


Please see the website for more information about how to use {manydata}.

Cheat Sheet

Contributing to the many packages universe

For more information for developers and data contributors to ‘many packages’, please see {manypkgs} the website.