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Review of data governance approaches in the field of transportation domain

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00375591" target="_blank" >RIV/68407700:21260/24:00375591 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/SCSP61506.2024.10552682" target="_blank" >https://doi.org/10.1109/SCSP61506.2024.10552682</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP61506.2024.10552682" target="_blank" >10.1109/SCSP61506.2024.10552682</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Review of data governance approaches in the field of transportation domain

  • Original language description

    Within the activities of planning, organizing, or regulating traffic, a considerable amount of various traffic data is actively used. For responsible data-based decision-making, the quality of the utilized data is crucial. However, defining the specifics of this quality and establishing procedures for its control is often ambiguous. The primary objective of the research was to review methods for ensuring or managing data quality within the transportation environment. Building on the collected information, a practical data governance approach was delineated to be applied to specific transportation data. Simultaneously, data from detectors and floating vehicles on the highway network in the Czech Republic were analyzed for the same reason. The results show that the chosen data governance approaches are applicable to transportation data, even in the task of evaluating data quality in the detail of individual dimensions. In the context of semantic data quality control, it is necessary to explore additional suitable tools, such as the use of statistical models, to reliably distinguish real errors or otherwise reduced data quality from genuinely truthful values, such as traffic conditions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

    <a href="/en/project/CK04000189" target="_blank" >CK04000189: Data quality tools for ensuring system reliability of transport information centres</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2024 Smart City Symposium Prague - IEEE PROCEEDINGS

  • ISBN

    979-8-3503-6096-7

  • ISSN

    2831-5618

  • e-ISSN

    2691-3666

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    IEEE Press

  • Place of publication

    New York

  • Event location

    Prague

  • Event date

    May 23, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001258546700004