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Requirements Analysis of a Research Data Management System in Collaborative Projects
Mueller, Laura; Schultz, Andreas Maximilian; Altun, Osman; Uhe, Johanna; Koepler, Oliver; Auer, Soeren; Mozgova, Iryna
Type:
Year:
2024
Editor:
Malmqvist, J.; Candi, M.; Saemundsson, R. J.; Bystrom, F. and Isaksson, O.
Author:
Mueller, Laura; Schultz, Andreas Maximilian; Altun, Osman; Uhe, Johanna; Koepler, Oliver; Auer, Soeren; Mozgova, Iryna
Series:
NordDESIGN
Institution:
Paderborn University, Germany; Leibniz University Hannover, Germany; Leibniz Information Centre for Science and Technology University Library, Germany
Page(s):
514-520
DOI number:
ISBN:
978-1-912254-21-7
Abstract:
The collection, analysis, and reuse of data throughout the entire product lifecycle and the resulting potential are establishing in engineering context. Research Data Management (RDM) systems are used in scientific context to enable the storage of research data in a structured way. They must fulfil individual user requirements to be used extensively. This paper presents a methodological approach to derive user requirements for a RDM-system and perform a first categorization by applying the Kano model. A survey among researchers is conducted to verify and confirm the identified requirements.
Keywords:
