Work

Dataset: 'Survey: Advancing RDM at CESAER institutions'

Year: 2020

Type: dataset

Abstract: This dataset includes the anonymized raw and analyzed data of responses to the Survey ‘Advancing RDM at CESAER institutions' The data accompanies the CESAER white paper ‘Advancing Research Data Management in universities of Science and Technology’ - http://doi.org/10.5281/zenodo.3665372 The survey aimed at gaining a better understanding of the challenges faced by the RDM support teams at the CESAER institutions when providing services to researchers working in technical/engineering disciplines (see also https://www.cesaer.org/). The specific target group of this survey were persons responsible for RDM support and/or services at the CESAER institutions.

Source: RWTH Publications (RWTH Aachen)

DOI: 10.5281/zenodo.3616516

Authors: Björnmalm, Mattias, Cappelluti, Federica, Dunning, Alastair, Gheorghe, Dana, Goraczek, Malgorzata, Hausen, Daniela, Hermann, Sibylle, Kraft, Angelina, Martinez-Lavanchy, Paula, Prisecaru, Tudor, Sanchez, Barbara, Strögen, Robert

Institutions: Centre d'économie et de sociologie appliquées à l'agriculture et aux espaces ruraux, Politecnico di Torino, Delft University of Technology, Universitatea Națională de Știință și Tehnologie Politehnica București, TU Wien, RWTH Aachen University, University of Stuttgart, Leibniz University Hannover, Technische Universität Braunschweig

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393732877

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