The FAIR data registry is a component of the FAIR data pipeline that maintains a metadata catalogue for different data types utilised and generated within a typical epidemiological modelling workflow.
The FAIR data registry is implemented as a Django web application and REST API. The FAIR data pipeline uses the data registry to store metadata about code runs and their inputs and outputs.
Information on how to install and run a local FAIR data registry is available at the local registry section in the project website.
The installation documentation covers the scripts provided to install in different platforms, how to install a particular branch of the repository.
Installation, development and maintenance guides, especially for the remote registry, are available in the Wiki. User documentation for the remote registry is also available here.