Nailing Jelly To The Wall: Sensitive Longitudinal Dataset Citation
Longitudinal datasets that serve an entire domain present a number of specific challenges to data citation and DOI assignment, particularly when they contain sensitive data. How do we approach DOI assignment? How much of the responsibility of accurate citation should be taken on by a data curation unit? How much by researchers?
Authors
- Cassia Smith
Institutions
- University of Edinburgh (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-17
- DOI
- https://doi.org/10.5281/zenodo.18778061
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00