Review of data governance approaches in the field of transportation domain

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Review of data governance approaches in the field of transportation domain

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Review of data governance approaches in the field of transportation domain

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20104 - Transport engineering

Projekt

<a href="/cs/project/CK04000189" target="_blank" >CK04000189: Nástroje kvality dat pro zabezpečení systémové spolehlivosti dopravně informačních center</a><br>

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

2024 Smart City Symposium Prague - IEEE PROCEEDINGS

ISBN

979-8-3503-6096-7

ISSN

2831-5618

e-ISSN

2691-3666

Počet stran výsledku

7

Strana od-do

—

Název nakladatele

IEEE Press

Místo vydání

New York

Místo konání akce

Prague

Datum konání akce

23. 5. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001258546700004