Cooking with DOIs

In the global biodiversity crisis, robust data management is growing increasingly important in the sector. The Digital Specimen is a response to this need, facilitating important connections between infrastructures. The FAIR Digital Object (FDO) paradigm offers a further machine-actionable solution to data management. One FDO component is assigning of unique, persistent identifiers to the object, and enriching these identifiers with a machine-readable “FDO Record” to further describe the referent. This conference presentation discussed Digital Specimens as FDOs, and how assigning persistent identifiers with FDO records was achieved through a partnership between DiSSCo and DataCite.

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Publication Details

Journal
Open Conference Proceedings
Published
2025-03-18
DOI
https://doi.org/10.52825/ocp.v5i.1176
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Cooking with DOIs

Matthew Buys, Sara El-Gebali, Sharif Islam, Wouter Addink et al.
Open Conference Proceedings
Scientific Computing and Data Management
article

Cooking with DOIs

Matthew Buys, Sara El-Gebali, Sharif Islam, Wouter Addink, Soulaine Theocharides
article en

Abstract

In the global biodiversity crisis, robust data management is growing increasingly important in the sector. The Digital Specimen is a response to this need, facilitating important connections between infrastructures. The FAIR Digital Object (FDO) paradigm offers a further machine-actionable solution to data management. One FDO component is assigning of unique, persistent identifiers to the object, and enriching these identifiers with a machine-readable “FDO Record” to further describe the referent. This conference presentation discussed Digital Specimens as FDOs, and how assigning persistent identifiers with FDO records was achieved through a partnership between DiSSCo and DataCite.

Open Conference ProceedingsVol. 5
Naturalis Biodiversity Center (NL), DataCite (DE)
HORIZON EUROPE European Research Council
Openalex Percentile: Top 89%
Scientific Computing and Data Management
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