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Promoting RDM

Authors: Schmidt, Birgit; Rantasaari, Jukka Tapio; Kokkinen, Heli Kristiina; Nykyri, Susanna; Fält, Katja; Strötgent, Robert; Jetten, Mijke; +6 Authors

Promoting RDM

Abstract

Audio from Session 10: Promoting RDM, held Thursday 27 June 2019 at the LIBER 2019 Annual Conference. Talks included: 10.1 Closing the skills gap: Basics of Research Data Management course at the University of Turku, Jukka Tapio Rantasaari and Heli Kristiina Kokkinen, University of Turku, Finland 10.2 Joint European Project to Enhance Collaboration: Promoting Research Data management and Open Science within technical fields, Katja Fält and Susanna Nykyri, Tampere University Library, Finland, Robert Strötgent, Technische Universität Braunschweig, University Library, Germany 10.3 Towards a Community-Endorsed Data Steward Profession for Supporting Research, Mijke Jetten and Inge Slouwerhof, Radboud University Library, The Netherlands, Salome Scholtens and Marije van der Geest, UMCG, The Netherlands, Cecilia van Gelder, DTL, The Netherlands, Nelly Anbeek, Radboud UMC, The Netherlands, Mirjam Brullemans, UMCU, The Netherlands

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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