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?

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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
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article

Nailing Jelly To The Wall: Sensitive Longitudinal Dataset Citation

Cassia Smith
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Nailing Jelly To The Wall: Sensitive Longitudinal Dataset Citation

Cassia Smith
article en

Abstract

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?

Zenodo (CERN European Organization for Nuclear Research)
University of Edinburgh (GB)
Openalex Percentile: Top 45%
Scientific Computing and Data Management
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Nailing Jelly To The Wall: Sensitive Longitudinal Dataset Citation — Cassia Smith · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS