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Data Stewardship Wizard for Open Science

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F18%3A00324119" target="_blank" >RIV/68407700:21240/18:00324119 - isvavai.cz</a>

  • Result on the web

    <a href="http://daz2018.fit.vutbr.cz" target="_blank" >http://daz2018.fit.vutbr.cz</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data Stewardship Wizard for Open Science

  • Original language description

    Every year, the amount of data (in science) grows significantly as information technologies are used more intensively in various domains of human activities. Biologists, chemists, linguists, and others are not data experts but often just regular users who need to capture and process some huge amount of data. This is where serious problems emerge – bad data management leading to losing important data, producing unverifiable results, wasting funds, and so on. Thousands of qualified data stewards will be needed in following years to deal with this issues. At the Faculty of Information Technology, CTU in Prague, we participate in the European platform ELIXIR in which we work on the Data Stewardship Wizard to help researchers and data stewards with building high-quality FAIR data management plans that are accurate and helpful to their projects. We cooperate on this challenging project with our colleagues from other ELIXIR nodes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Data a znalosti & WIKT

  • ISBN

    978-80-214-5679-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    121-125

  • Publisher name

    Fakulta informačních technologií

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Oct 11, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article