[open-science] Open call: become a Frictionless Data Reproducible Research Fellow

Lieke Ploeger lieke.ploeger at okfn.org
Tue May 14 10:53:07 UTC 2019

Dear all,

We're happy to inform you that Open Knowledge International is now
accepting applications for the Frictionless Data Fellows Program

The Fellowship is part of the Frictionless Data for Reproducible Research
<http://frictionlessdata.io/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+

Read more about the fellowship, apply as soon as you can and share widely
in your networks:

If you have any questions, feel free to ask them on Open Knowledge
International’s Discuss <https://discuss.okfn.org>, on our Gitter chat
<https://gitter.im/frictionlessdata/chat>, or email the team at
frictionlessdata at okfn.org.

Have a great rest of the day!

Best, Lieke Ploeger.

Lieke Ploeger

Communications Officer

Open Knowledge Foundation <https://okfn.org/>

@liekeploeger <https://twitter.com/liekeploeger>
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