FAIR(ER) Data

The findability, accessibility, interoperability, and reusability of data (and analytical tools) lies at the very core of G.E.M.S design and operation.

By allowing contributors direct control in ensuring who accesses their data, and forcing users to click through license agreements where required by the data owner to get access, G.E.M.S ensures Ethical data practices. G.E.M.S also respects the personal and privacy attributes embodied in rural household survey or farm survey and machine sourced data. Using data jiggering and fuzzing algorithms presently being built into G.E.M.S, users can anonymize private (and perhaps proprietary) data before sharing on with others. And by automatically versioning all data, keeping track of data parent-child relationships, and linking DOI (Digital Object Identifier) data to tools in saved “workflows,” shared G.E.M.S data are not simply “Resusable” they adhere to the much higher standard of “Replicable” as well.

Of course in G.E.M.S, the accessibility of data and their associated meta-data are the choice of the data owner. Our goal is to respect the policies and practices of the data owner by supporting open data, but also enhancing the sharing of data or meta-data that may not be fully open to enable new innovation partnerships.