Data Management Planning: How Requirements and Solutions are Beginning to Converge
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00334509" target="_blank" >RIV/68407700:21240/19:00334509 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1162/dint_a_00043" target="_blank" >https://doi.org/10.1162/dint_a_00043</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1162/dint_a_00043" target="_blank" >10.1162/dint_a_00043</a>
Alternative languages
Result language
angličtina
Original language name
Data Management Planning: How Requirements and Solutions are Beginning to Converge
Original language description
Effective stewardship of data is a critical precursor to making data FAIR. The goal of this paper is to bring an overview of current state of the art of data management and data stewardship planning solutions (DMP). We begin by arguing why data management is an important vehicle supporting adoption and implementation of the FAIR principles, we describe the background, context and historical development, as well as major driving forces, being research initiatives and funders. Then we provide an overview of the current leading DMP tools in the form of a table presenting the key characteristics. Next, we elaborate on emerging common standards for DMPs, especially the topic of machine-actionable DMPs. As sound DMP is not only a precursor of FAIR data stewardship, but also an integral part of it, we discuss its positioning in the emerging FAIR tools ecosystem. Capacity building and training activities are an important ingredient in the whole effort. Although
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Data Intelligence
ISSN
2096-7004
e-ISSN
2096-7004
Volume of the periodical
2019
Issue of the periodical within the volume
2
Country of publishing house
CN - CHINA
Number of pages
12
Pages from-to
208-219
UT code for WoS article
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EID of the result in the Scopus database
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