qTrade is a data package in the qData ecosystem of qPackages. It currently includes an ensemble of datasets on international trade agreements, and states’ membership or other relationships to those agreements.

Please also check out {qData} for more about the other packages in the qData ecosystem.

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, qData, as follows, and then you can discover, install and update various qPackages from the console.

# install.packages(remotes)
remotes::install_github("globalgov/qData") # this installs our core package, the only one you need to do independently
qData::get_packages() # this prints a list of the publicly available data packages currently available
qData::get_packages("qTrade") # 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 {qTrade} 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.


The qData ecosystem is aimed at collecting, connecting and correcting network data across issue-domains of global governance.

While some qPackages can and do include novel data, much of what they offer involves standing on the shoulders of giants. qPackages 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 by using the function below.

## To cite package 'qTrade' in publications use:
##   James Hollway (2021). qTrade: Trade Agreements for qData. R package
##   version 0.0.1.
## A BibTeX entry for LaTeX users is
##   @Manual{,
##     title = {qTrade: Trade Agreements for qData},
##     author = {James Hollway},
##     year = {2021},
##     note = {R package version 0.0.1},
##   }


qData 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, qData includes a number of functions that make it easy to create a new qPackage and populate with clean, consistent global governance data.

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