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AW: [rda-edu-ig] Agenda for the coming meeting

  • Creator
  • #128278

    Dear All,
    I am really sorry to tell you that I will not make it to the conference after all and sadly I will not share with you all the great things that are happening in the social sciences. I hope that I will be able to do so in a future RDA plenary!
    Sorry for changing the agenda.
    I hope you have a great meeting and I am looking forward to the results!

    Dr. Alexia Katsanidou
    Head of International Data Infrastructures
    GESIS – Leibniz Institute for the Social Sciences
    Unter Sachsenhausen 6-8
    D-50667 Köln
    tel: +49 (0) 221 47694 490
    Von: msicilia=***@***.*** [mailto:***@***.***] Im Auftrag von msicilia
    Gesendet: Donnerstag, 4. September 2014 10:54
    An: ***@***.***
    Betreff: [rda-edu-ig] Agenda for the coming meeting
    Dear all,
    As communicated to the list during august, our IG has the time slots already assigned for the next RDA plenary in Amsterdam. Now it is time to complete the agenda and schedule the presentations and discussions.
    The latest version I have of the tentative agenda is this, any further input or proposal is of course welcome:
    Tentative agenda
    * Definition of the spectrum of data professions
    * Approach to define the professions-competencies matrix.
    * Domain-specific presentations:
    o Social sciences (Alexia Katsanidou, Leibniz Inst. for the Social Sciences)
    o Agrifood 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:
    o Data curation teaching in the information science curriculum (Andrew Cox, U. Sheffield)
    o APARSEN training/qualification in science data preservation (Matthias L. Hemmje, FTK)
    o CODATA 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 and certification currently offered.
    4. What is still needed, and how could a collaboration with other disciplines be of benefit?

    Miguel-Angel Sicilia
    Prof. Computer Science, University of Alcalá
    UAH MediaLab –
    WebScientia blog –

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