We are happy to share the news with you that Open Knowledge International, through the Frictionless Data for Reproducible Research project, is now accepting applications for the Frictionless Data Fellows Program.
The Fellowship is part of the Frictionless Data for Reproducible Research project, which aims to reduce the friction often found when working with data, such as when data is poorly structured, incomplete, hard to find, or is archived in difficult to use formats. This project, funded by the Sloan Foundation, applies our work to data-driven research disciplines, in order to help researchers and the research community resolve data workflow issues.
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 Fellows with stipends of $5,000 to support their work and time during the nine-month long Fellowship. We welcome applications until 30th July 2019, with the Fellowship starting in the fall. We value diversity and encourage applicants from communities that are under-represented in science and technology, people of colour, women, people with disabilities, and LGBTI+ individuals.
You can read more about the fellowship and how to apply on blog.okfn.org. If you have any questions, feel free to ask them here or on Open Knowledge International’s Discuss.