[OK-AT] Fwd: Open call: become a Frictionless Data Reproducible Research Fellow
stefan.kasberger at okfn.at
Fr Mai 17 08:16:42 UTC 2019
-------- Forwarded Message --------
Subject: Open call: become a Frictionless Data Reproducible Research
Date: Tue, 14 May 2019 13:24:20 +0200
From: Lieke Ploeger <lieke.ploeger at okfn.org>
To: Yas García <yamila at fcabierto.org>, Nicholas Gruen
<ngruen at gmail.com>, Stefan Kasberger <stefan.kasberger at okfn.at>, Dries
Van Ransbeeck <dries at openknowledge.be>, Natalia Mazotte
<ncortezrj at gmail.com>, Idriss TINTO <tinto.jean at gmail.com>,
jury.konga at outlook.com, FENG GAO <gaofeng860918 at gmail.com>, Luis M.
Vilches-Blázquez <lmvilches.blazquez at gmail.com>, Michaela Rybičková
<michaela.rybickova at gmail.com>, niels at buhlrasmussen.eu,
edobejar at fundapi.org, abriendo at datoselsalvador.org, Maarja-Leena Saar
<maarjaleena at gmail.com>, Teemu Ropponen <teemu.ropponen at okf.fi>, Pierre
Chrzanowski <pierre.chrzanowski at gmail.com>, nadine.evers at okfn.de,
info at okfn.de, Charalampos Bratsas <char.brat at gmail.com>, S.C. Edmunds
<scott at gigasciencejournal.com>, denis.parfenov at protonmail.com, Maurizio
Napolitano <napo at fbk.eu>, Tomoaki Watanabe <tomoaki.watanabe at gmail.com>,
Nikesh Balami <nikeshbalami at gmail.com>, r at manufacturaindependente.org,
Ivan Begtin <ibegtin at gmail.com>, Ewan Klein <ewan.klein at gmail.com>,
Haklae Kim <haklaekim at gmail.com>, Serdar Temiz <serdar at okfn.se>, Oleg
Lavrovsky <oleg at opendata.ch>, TH Schee <info at motomosa.com>, Joel
Natividad <jnatividad at opengov.com>, pinar dag <dagpnrdag at gmail.com>,
rodrigo.aguilar at i2ds.org, maricarmen at tedic.org, IPANDETEC
<ipandetec at gmail.com>
CC: Lilly Winfree <lilly.winfree at okfn.org>, Oscar Montiel
<oscar.montiel at okfn.org>
Dear network friends,
We are happy to share the news with you that Open Knowledge
International, through the Frictionless Data for Reproducible Research
<http://frictionlessdata.io/reproducible-research>project, is now
accepting applications for the Frictionless Data Fellows Program
The Fellowship is part of theFrictionless 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+ individuals.
You can read more about the fellowship and how to apply on our blog:
We hope this can be of interest to you & your network, and it would be
great if you could help us spread the news in your communities.
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 <mailto:frictionlessdata at okfn.org>.
Have a great rest of the day!
Best, Lieke Ploeger.
Open Knowledge Foundation <https://okfn.org/>
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