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- Title
A Programmatic and Scalable Approach to Making Data Management Machine-Actionable.
- Authors
Praetzellis, Maria; Buys, Matthew; Chen, Xiaoli; Chodacki, John; Davies, Neil; Garza, Kristian; Nancarrow, Catherine; Riley, Brian; Robinson, Erin
- Abstract
The challenge of tracking research productivity and impact is compounded by the fragmented ecosystem in which research data outputs are managed, with stakeholders such as funders, research centers, government agencies, and academic institutions struggling to ensure compliance with mandates for data sharing and other regulatory requirements. While data management plans (DMPs) are crucial for effective research data management (RDM), their inadequate integration exacerbates fragmentation. This paper presents a robust, scalable, persistent identifier (PID)--enabled infrastructure that interlinks metadata and updates DOI records, effectively incorporating DMPs to bolster data discoverability, reusability, and compliance.
- Subjects
DATA management; STAKEHOLDERS; RESEARCH institutes; ROBUST statistics; METADATA
- Publication
Data Science Journal, 2023, Vol 22, p1
- ISSN
1683-1470
- Publication type
Article
- DOI
10.5334/dsj-2023-026