Research Data Management Survey
| Title | Research Data Management Survey |
| Publication Type | Report |
| Year of Publication | 2013 |
| Authors | Parsons, T., Grimshaw S., & Williamson L. |
| Date Published | 2013/06/02/ |
| Institution | University of Nottingham |
| Keywords | sg_data_management, sg_data_methodology, sg_data_survey, sg_ps |
| URL | http://admire.jiscinvolve.org/wp/files/2013/02/ADMIRe-Survey-Results-and-Analysis-2013.pdf |
Gap Area Study Type:
High-level Gap Areas:
Measurement Gap Areas:
- Context: Discipline/Department
- Context: Role (or business area)
- Culture: Sharing attitudes and practices
- Culture: Standards
- Knowledge: Amount of data
- Knowledge: Other: Funder requirements, experience with DMPs (researchers)
- Knowledge: Other: Data types and formats
- HR: Lack of skills
- HR: Lack of support for data management
- IT: Lack of infrastructure
- CMP: Fragmented data management
- SA: Sharing and Access
Purpose:
Sought to understand the baseline of RDM practices, gather researcher requirements for RDM, and raise awareness of and gauge interest in a proposed service
Method:
After testing on a smaller population, conducted an online survey of career researchers and post-doctoral researchers at the University of Nottingham using targeted email
