Thanks, Veerle -- that is really interesting! Assessing DMP in order to measure the authors understanding is a interesting idea (most DMP assessment seem focused on quality, not one-level-deeper: understanding).
I've just joined this group and am a little out of the loop with the governance (let alone, RDA writ large) -- I've not seen much posted to the list, so maybe the majority of discussion takes place in person. Is calling in an option?
Anyway, I wanted to offer a similar project -- RDM education in social sciences -- but in this case, on the other end of the spectrum of experience: undergraduate students participating in Undergraduate Research programs.
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From: firstname.lastname@example.org [email@example.com] on behalf of veerlevde [firstname.lastname@example.org]
Sent: Monday, September 14, 2015 9:55 AM
To: Education and Training on handling of research data
Subject: Re: [rda-edu-ig] IG-ETRD meeting at RDA6 23 September 2015, Paris (15:30 - 17:00) - Call for participation and Agenda items
This may be of interest to the group: our experiences with research data management training for doctoral students in the social sciences.
In the last few years we've been finding ways to embed research data management training for doctoral students into doctoral training programmes. At the University of Essex, doctoral students can use their training credits (the Proficio scheme) to attend our training events, such as e.g. http://ukdataservice.ac.uk/news-and-events/eventsitem/?id=3879
Last December we held a 2–day accredited doctoral training course at the University of Ghent (Belgium); this made us consider assessment methods, and we opted to have students develop a data management plan for their doctoral research for us to assess: www.ugent.be/doctoralschools/en/doctoraltraining/courses/transferableski....
Currently we have a FOSTER training programme with partners of the CESSDA network where we deliver 2-day workshops for PhD students at various European universities; http://ukdataservice.ac.uk/about-us/projects/foster-cessda-training/details
Typically the topics covered during the training are: writing a data management plan, licensing data and intellectual property, metadata and contextual description, ethical and legal aspects of sharing sensitive or confidential data, anonymizing research data for reuse, data archiving and long-term preservation, and data security and storage.
Teaching is delivered through a combination of presentations, practical exercises using existing datasets, discussions, and group work.
Veerle Van den Eynden, UK Data Archive
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