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Welcome to the Frictionless Data for Reproducible Research Fellows Programme!

What is the Reproducible Research Fellows Programme?

With the Frictionless Data Reproducible Research Fellows Programme, supported by the Sloan Foundation and Open Knowledge Foundation, we are recruiting and training early career researchers to become champions of the Frictionless Data tools and approaches in their field. Fellows will learn about Frictionless Data, including how to use Frictionless tools in their domains to improve reproducible research workflows, and how to advocate for open science. Working closely with the Frictionless Data team, Fellows will lead training workshops at conferences, host events at universities and in labs, and write blogs and other communications content. In addition to mentorship, we are providing successful applicants with stipends of $5,000 to support their work and time during the nine-month long Fellows Programme. This will be the Third Cohort of Fellows, which will start in October 2021 and end in June 2022.

How do I apply?

Please see our Apply page to apply and to read the FAQ. If you have questions, please email the team at [email protected]

Background

The Fellows Programme is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation. The first Fellows Cohort took place from Fall 2019 til Spring 2020, and the Second Cohort ran from August 2020 until May 2021. This project, funded by the Sloan Foundation, applies our work in Frictionless Data to data-driven research disciplines, in order to facilitate data workflows in research contexts. At its core, Frictionless Data 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 core specification, the Data Package, is a simple and practical “container” for data and metadata.