Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00371539" target="_blank" >RIV/68407700:21240/23:00371539 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.5334/dsj-2023-028" target="_blank" >https://doi.org/10.5334/dsj-2023-028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5334/dsj-2023-028" target="_blank" >10.5334/dsj-2023-028</a>

Result language

angličtina

Original language name

Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans

Original language description

Most research funders require Data Management Plans (DMPs). The review process can be time consuming, since reviewers read text documents submitted by researchers and provide their feedback. Moreover, it requires specific expert knowledge in data stewardship, which is scarce. Machine-actionable Data Management Plans (maDMPs) and semantic technologies increase the potential for automatic assessment of information contained in DMPs. However, the level of automation and new possibilities are still not well-explored and leveraged. This paper discusses methods for the automation of DMP assessment. It goes beyond generating human-readable reports. It explores how the information contained in maDMPs can be used to provide automated pre-assessment or to fetch further information, allowing reviewers to better judge the content. We map the identified methods to various reviewer goals.

Czech name

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Czech description

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Type

J_SC - 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)

Project

<a href="/en/project/8J22AT015" target="_blank" >8J22AT015: Advancing effective adoption of FAIR principles in research data management</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Codata Science Journal

ISSN

1683-1470

e-ISSN

1683-1470

Volume of the periodical

22

Issue of the periodical within the volume

August

Country of publishing house

FR - FRANCE

Number of pages

13

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-s2.0-85169843364