[Rdap] Fwd: [CODATA-international] Course on Introduction to FAIR Data Stewardship

[Jonathan Petters]

FYI and potential participation. Course is over several days and starts at
1PM Netherlands time each day, so may be doable by early risers in N.
America!

-Jon

---------- Forwarded message ---------
From: Asha CODATA <asha at codata.org>
Date: Wed, Aug 26, 2020 at 11:54 AM
Subject: [CODATA-international] Introduction to FAIR Data Stewardship
To: <codata-international at lists.codata.org>


In partnership with the Hogeschool Leiden, the GO FAIR Foundation has
developed a FAIR Data Stewardship Course.  An online version will be
running in October-November 2020.

Research projects create a lot of data. Although these data should remain
available, in practice data often gets lost. To address this problem the
GO-FAIR Foundation advocates the FAIR principles. Research data should be
Findable, Accessible, Interoperable and Reusable in an automated way.
FAIR Data Stewards work with researchers to help them make their research
data FAIR. In this course you will get an introduction to the knowledge and
skills required to work as a data steward.

This course is a pilot and is co-developed as part of partnership between
the Hogeschool Leiden and the GO-FAIR Foundation.

The course is a pilot and is subject to a low fee of 150 euros.

Please register by sending an e-mail to cbd at hsleiden.nl

The agenda and other information are attached.

Thanks,
Asha
-- 
___________________________

*Education for Data Science - A Collaborative Workshop:* Call for
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*NEW DATES, NEW DEADLINE! **International Virtual FAIR
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 | Call for Sessions, deadline 30 Sept
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<https://codata.org/july-2020-publications-in-the-data-science-journal/> 2020
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___________________________

Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
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CODATA (Committee on Data of the International Council for Science), 5 rue
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-- 
Jonathan Petters Ph.D.
Assistant Director, Data Management & Curation Services
Data Services, University Libraries
Virginia Tech
(540) 232-8682
https://lib.vt.edu/research-teaching/data-services.html
ORCID: 0000-0002-0853-5814
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