Bringing non-STEM researchers on our RDM journey: fostering cultural change across disciplines
Researchers producing Non-Traditional Research Outputs (NTROs) are often unaware of the need to manage their research data, including the use of university platforms, which leads to absence in compliance, exposure to risk and poor data practices. This is particularly prevalent in non-STEM disciplines in the arts and humanities, where there is low awareness of what constitutes research data . As data managers, we need to enhance relationships and better understand the research areas, processes, and requirements of researchers in these fields. The Research Data Consulting (RDC) team undertook consultations with researchers and faculty support staff to identify the nature of data generated from non-STEM fields, and what research data management practices were being followed. Strategies for building RDM engagement, including tailored training programs, interdisciplinary collaborations, and identifying user-friendly tools and resources were explored. RDC developed tailored resources, including presentations and case studies and innovative RDM approaches, to address these challenges. We identified the eNotebook (LabArchives) as a useful and user-friendly platform for recording research output including their process of documentation , regardless of the STEM connotation. We then collaborated with faculty support staff to work with their research communities to promote these measures, which was pivotal to drive the essential culture change. We observed a positive change to researchers attitude and engagement in their management of research outputs and uptake of university digital tools. We plan to extend this program across the university to reach the wider research community and continue to instil best research practice.
Institutions
- The University of Sydney (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-31
- DOI
- https://doi.org/10.5281/zenodo.15293467
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00