How can Researchers be Influenced to Comply with Guidelines of Research Data Management?

Authors Rowena van Houwelingen, Guido Ongena, Pascal Ravesteijn
Published in Communications of the IIMA
Publication date 2024
Research groups Procesinnovatie & informatiesystemen
Type Lecture

Summary

How come Open Science is a well-shared vision among research communities, while the prerequisite practice of research data management (RDM) is lagging? This research sheds light on RDM adoption in the Dutch context of universities of applied sciences, by studying influencing technological, organizational, and environmental factors using the TOE-framework. A survey was sent out to researchers of universities of applied sciences in the Netherlands. The analyses thereof showed no significant relation between the influencing factors and the intention to comply with the RDM guidelines (p-value of ≤ .10 and a 90% confidence level). Results did show a significant influence of the factor Management Support towards compliance with a p-value of 0.078. This research contributes towards the knowledge on RDM adoption with the new insight that the factors used in this research do not seem to significantly influence RDM adoption in the Dutch context of universities of applied sciences. The research does show that the respondents have a positive attitude in their intention to change, increase or invest time and effort towards RDM compliance. More research is advised to uncover factors that do significantly influence RDM adoption among universities of applied sciences in the Netherland for stakeholders in Open Science and RDM to enhance their strategies.

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On this publication contributed

  • Guido Ongena | onderzoeker | Procesinnovatie en Informatiesystemen
    Guido Ongena
    • Lector
    • Research group: Procesinnovatie & informatiesystemen
  • Pascal Ravesteijn | lector | Procesinnovatie en Informatiesystemen
    Pascal Ravesteijn
    • Lector
    • Research group: Procesinnovatie & informatiesystemen

Language Engels
Published in Communications of the IIMA
Year and volume 22 1
Key words Research Data Management, RDM (Research Data Management), Open Science, universities of applied sciences (UAS), RDM adoption, TOE-framework
Digital Object Identifier 10.58729/1941-6687.1455
Page range 55-75

Procesinnovatie en Informatiesystemen