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For archiving Frictionless Data Fellowship work
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README.md

README.md

Frictionless Data (FD) Fellowship (FDF)

For archiving Frictionless Data Fellowship work

FDF Summary

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.

Fellowship Organization

The fellowship will run for nine months from September 2019 to June 2020

Syllabus

The syllabus may be found here

Lessons

The lessons may be found here

Resources

The resources may be found here

Blogs

You may check here to catch-up with the activities associated with the fellowship

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