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Presentations from the Göttingen-CODATA RDM Symposium Now Available

The organisers and hosts are pleased to announce that the presentations from the Göttingen-CODATA RDM Symposium ‘the critical role of university RDM infrastructure in transforming data to knowledge’ are now almost all available from the conference management system (click through to each session) and the CODATA website.
Göttingen-CODATA RDM Symposium 2018
The symposium was held in Göttingen from 18-20 March 2018.  It was a collaboration between the University of Göttingen and CODATA and was a precursor event to the RDA plenary meeting in Berlin on 21-23 March 2018.
The event was attended by 160 research data management experts and professionals from around the globe.  
The event was possible thanks to the generous support of the University of Göttingen and the hard work of the programme committee and the local organisers.

Symposium Keynotes

The Symposium featured nine keynote presentations.

The keynote presentatons may be downloaded as a zipped file.

Symposium Thematic Parallel Sessions

Nine parallel sessions tackled the symposium themes listed below.  The content of each session may be consulted by means of the links below.  All presentations from the symposium may be downloaded as a zipped file (warning c.500MB).

1.1 Institutional Strategies and Solutions 1

1.2 RDM Solutions 1

1.3 National RDM Strategies

2.1 Measuring Success and Changing Culture

2.2 Skills

2.3 Lessons from Domains

3.1 Institutional Strategies and Solutions 2

3.2 RDM Solutions 2

3.3 Implications of FAIR and Sustainability

Symposium Programme

The full programme for the symposium may be viewed on the conference management site, hosted by Ubiquity Press.

Special Collection in the Data Science Journal

Accepted and commended abstracts have been invited to submit full papers for a Special Collection of the CODATA Data Science Journal on this topic.

Programme Commitee

The programme committee comprised:

  • Jan Brase, University of Göttingen
  • Simon Hodson, CODATA
  • Liz Lyon, University of Pittsburgh
  • Devika Madalli, Indian Statistical Institute, Bangalore
  • Michael Witt, Purdue University