Automated Semantic Annotation of Data Management Plans: A Systematic Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00383473" target="_blank" >RIV/68407700:21240/25:00383473 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5334/dsj-2025-016" target="_blank" >https://doi.org/10.5334/dsj-2025-016</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5334/dsj-2025-016" target="_blank" >10.5334/dsj-2025-016</a>
Alternative languages
Result language
angličtina
Original language name
Automated Semantic Annotation of Data Management Plans: A Systematic Review
Original language description
Semantic annotation has emerged as a key technique for transforming human-readable data into machine-actionable formats. It corresponds with the growing emphasis on data reusability and research reproducibility. This paper examines tools for semantic annotation using ontologies and controlled vocabularies, with a focus on their application in data management planning. A systematic review identified 34 relevant tools, which show potential for adaptation to the data management plan (DMP) domain. While these tools meet many requirements, they do not fully address all DMP-specific needs. The paper provides an overview of current tools and suggests directions for future research to adapt them for DMP use.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2023055" target="_blank" >LM2023055: Czech National Infrastructure for Biological Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Codata Science Journal
ISSN
1683-1470
e-ISSN
1683-1470
Volume of the periodical
24
Issue of the periodical within the volume
May
Country of publishing house
FR - FRANCE
Number of pages
14
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105005879233