Frictionless Data (FD) Fellowship (FDF)
For archiving Frictionless Data Fellowship work
This Fellows Programme is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation. The project is funded by the Alfred P. Sloan Foundation. FD is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management.
The fellowship will run for nine months from September 2019 to June 2020
The syllabus may be found here
The lessons may be found here
The resources may be found here
You may check here to catch-up with the activities associated with the fellowship