Skip to contents

manyhealth is a data package in the many packages universe. It currently includes an ensemble of datasets on international health instruments and actors in global health governance (states, IGOs, NGOs, and other private actors).

Please also check out {manydata} for more about the other packages in the ‘many packages’ universe.

How to install:

We’ve made it easier than ever to install and start analysing global governance data in R. Simply install the core package, manydata, as follows, and then you can discover, install and update various “many” packages from the console.

# install.packages(remotes)
remotes::install_github("globalgov/manydata") # this installs our core package, the only one you need to do independently
manydata::get_packages() # this prints a list of the publicly available data packages currently available
manydata::get_packages("manyhealth") # this downloads and installs the named package

Data included

Once you have installed the package, you can see the different databases and datasets included in the package using the following function.


Working with ensembles of related data has many advantages for robust analysis. Just take a look at our vignettes here.

While some packages in the many universe can and do include novel data, much of what they offer involves standing on the shoulders of giants. Packages from the many universe endeavour to be as transparent as possible about where data comes from, how it has been coded and/or relabeled, and who has done the work. As such, we make it easy to cite both the particular datasets you use by listing the official references in the function above, as well as the package providers for their work assembling the data using the function below.


## To cite manyhealth in publications use:
##   J. Hollway. Health agreements for manydata. 2022.
## A BibTeX entry for LaTeX users is
##   @Manual{,
##     title = {manyhealth: Health Agreements for the many Universe},
##     author = {James Hollway},
##     year = {2022},
##     url = {},
##   }


{manypkgs} also makes it easy to contribute in lots of different ways.

If you have already developed a dataset salient to this package, please reach out by flagging this as an issue for us, or by forking, further developing the package yourself, and opening a pull request so that your data can be used easily.

If you have collected or developed other data that may not be best for this package, but could be useful within the wider ecosystem, manypkgs includes a number of functions that make it easy to create a new package from the many universe and populate with clean, consistent global governance data.

If you have any other ideas about how this package or the manydata ecosystem more broadly might better facilitate your empirical analysis, we’d be very happy to hear from you.