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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

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • EID of the result in the Scopus database