Ten Recommendations on Research Data Management - What's Next?

Scientific Information Infrastructures (SII) Working Group Munich, LIBER Conference, 2013, June 26

Rob GrimChair of the SII Working GroupHead of Research Support/Research Data SpecialistLibrary & IT Servicese-mail: rob.grim@uvt.nl

Aim of this workshop: Inform & Engage

Brief introduction to the SII working group

Working plan & working group members

Starting point: 10 recommendations for libraries to get started with Research Data Management (RDM)

How to proceed with these recommendations?

Introduce our speakers

Mr Wolfram Horstmann, Bodleian Library Oxford, UK 

Ms Jūratė Kuprienė, Vilnius University Library, Lithuania 

Ms Natalia Grygierczyk, Radboud Universiteit Nijmegen, The Netherlands

Mr Ayhan Kaygusuz, Istanbul Sehir University, Turkey 

Mr Esa-Pekka Keskitalo, National Library of Finland, Finland 

Ms Annikki Roos, Viikki Campus Library, Helsinki, Finland

Mr Frank Scholze, Karlsruhe Institute of Technology, Germany 

Mr Paolo Budroni, Library of the University of Vienna, Austria

Mr Rob Grim, (Chair)Tilburg University, The Netherlands

Mr Jeroen Rombouts, 3TU.Datacentrum, The Netherlands

Ms Birte Christensen-Dalsgaard, (Co-Chair) The Royal Library, Denmark

Ms Birgit Schmidt, Göttingen State and University Library, Germany

SII working group members:

How to proceed with the 10 recommendations?

3 activity areas: Gather and present practical information on RDM support. Articulate - from a technical perspective -, the role of the libraries, taking

into account strategic, operational and technical issues. Identify and describe the skills sets and profiles relevant to RDM support in

academic libraries.

3 speakers: Jeroen Rombouts (3TU.Datacentrum): Collaboration and services Wolfram Horstmann (Oxford University): Policies and infrastructure Rob Grim (Tilburg University): Skilling the workforce

Re-Skilling the workforce Is it necessary?

Libraries see RDM services as a priority, with a particular emphasis on advisory, policy support and training services (Pinfield & Cox, 2013)

Little effort is put into developing skill sets relevant to support e-Science: curation, automated capture and tool development (Hey, 2009.)

In some of the libraries, some of the staff, have some of the relevant skills…

Questions for the audience: Do you have people working on RDM support?

Are these people coming from a library or computer science / IT background?

Re-Skilling the Workforce: What to expect from us?

Information on how to do it... Resources:

Harvard: Data Scientist Training for Librarians Course.Other: DCC, Data Intelligence four Librarians,etc.

Case studies on RDM support and share lessons learned: Oxford, Tilburg University, 3TU, Göttingen, Bielefeld

Guidance on hard and soft skills (and how to make use of them)Data scientists or data librarians?

Guidance on data management plans and institutional RDM policy plans Formal education and profiles of data professionals: academic curriculum,

LIS schools, job descriptions relevant to LiBER community.

Discussion

Engage with the LIBER community …