Ground is an open-source, vendor-neutral data context service under development in UC Berkeley’s RISE Lab. Data context is all of the information surrounding the use of data in an organization, and Ground enables users to understand what data they have, who is using that data, when and how data is changing, and to & from where the data is moving. We believe that data context services are broadly applicable, including use cases in data inventory, model-specific interpretation, workflow reproducibility, interoperability, and collective governance. Ground is based on a versioned, graph data model. To learn more about the design principles behind Ground, please look at our CIDR 2017 publication.
For more information on getting started with Ground and contribution guidelines, please see our wiki.