[Miguel-Angel Sicilia]

Dear all,
I have collected all your inputs for the proposed RDA4 meeting. Below
you have the tentative proposal, of course this is not closed and we can
make it better from now to the meeting in Amsterdam. We have to submit
the meeting proposal today, so any input or revision during the day is
appreciated. My apologies if I failed to include something important, in
that case, just let me know.
By the way, I invite all of you to register in the new mailing list:
***@***.***-groups.org. You can do it via the Web page of the IG:
https://rd-alliance.org/group/education-and-training-handling-research-d…
Regards,
Miguel-Angel
—
Miguel-Angel Sicilia
Prof. Computer Science, University of Alcalá
UAH MediaLab – http://www3.uah.es/medialab
WebScientia blog – http://webscientia.wordpress.com/
The newly created IG on Education and Training on research data aims at
having its first meeting at RDA4. We plan to have two sessions and we
estimate an audience of 40+ people. Ideally, the meetings will not be
scheduled in conflict with the Libraries for Research Data (others?)
sessions.
Tentative agenda
·Definition of the spectrum of data professions
·Approach to define the professions-competencies matrix.
·Domain-specific presentations:
oSocial sciences (Alexia Katsanidou, Leibniz Inst. for the Social Sciences)
oAgrifood sector (Vassilis Protonotarios, AgroKnow)
·From the WG Data Science Summer School — discussion on delivery and
teaching modes. (Hugh Shanahan, U. London)
·Open resources and MOOCs on data professions (Valerie Brasse, IS4ri)
·Cases and experience:
oData curation teaching in the information science curriculum (Andrew
Cox, U. Sheffield)
oAPARSEN training/qualification in science data preservation (Matthias
L. Hemmje, FTK)
oCODATA work on Capacity Building (Simon Hodson, CODATA)
For domain-specific presentations, the structure of the presentations is
suggested as follows:
1.What type of data are used in your discipline and what are the
problems/difficulties they pose
2.What skills do the data professionals need to have (potential
differentiations between data collections and secondary data users?)
3.What trainings are already offered, plus an assessment if they are enough
4.What is still needed, and how could a collaboration with other
disciplines be of benefit?

Discussion