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Data Quality in Biodiversity Information Management

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00022502" target="_blank" >RIV/00216224:14330/07:00022502 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14330/07:00019301

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data Quality in Biodiversity Information Management

  • Original language description

    Imprecision of biodiversity data is an important characteristic feature of environmental data monitoring. When making evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal decision mistake. The important task of computing and current information and communication technology is to deal with the primary data quality and uncertainty and thus to reduce the risk of conclusion or decision mistake. At present new approaches and methodologies to handle environmental data quality and uncertainty are explored as opposite to standard ones. The paper presents comparison of such new approach against European Environment Agency and U.S. Environmental Protection Agency standards. The new approach brings more modular way of dealing with data quality and is supposed to bring better results and less workload then standard approach

  • Czech name

    Data Quality in Biodiversity Information Management

  • Czech description

    Imprecision of biodiversity data is an important characteristic feature of environmental data monitoring. When making evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal decision mistake. The important task of computing and current information and communication technology is to deal with the primary data quality and uncertainty and thus to reduce the risk of conclusion or decision mistake. At present new approaches and methodologies to handle environmental data quality and uncertainty are explored as opposite to standard ones. The paper presents comparison of such new approach against European Environment Agency and U.S. Environmental Protection Agency standards. The new approach brings more modular way of dealing with data quality and is supposed to bring better results and less workload then standard approach

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/SM%2F10%2F99%2F05" target="_blank" >SM/10/99/05: Proposal of communication framework with international environmental information systems</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 3rd Internationl Summer School on Computational Biology

  • ISBN

    978-80-210-4370-1

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    171-177

  • Publisher name

    Masaryk University

  • Place of publication

    Brno

  • Event location

    Mikulov

  • Event date

    Jan 1, 2007

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article