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Determinants of data quality dimensions for assessing highway infrastructure data using semiotic framework

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posted on 2023-05-03, 08:14 authored by Chenchu Murali Krishna, Kirti RuikarKirti Ruikar, Kumar Neeraj Jha
The rapid accumulation of highway infrastructure data and their widespread reuse in decision-making poses data quality issues. To address the data quality issue, it is necessary to comprehend data quality, followed by approaches for enhancing data quality and decision-making based on data quality information. This research aimed to identify the critical data quality dimensions that affect the decision-making process of highway projects. Firstly, a state-of-the-art review of data quality frameworks applied in various fields was conducted to identify suitable frameworks for highway infrastructure data. Data quality dimensions of the semiotic framework were identified from the literature, and an interview was conducted with the highway infrastructure stakeholders to finalise the data quality dimension. Then, a questionnaire survey identified the critical data quality dimensions for decision-making. Along with the critical dimensions, their level of importance was also identified at each highway infrastructure project’s decision-making levels. The semiotic data quality framework provided a theoretical foundation for developing data quality dimensions to assess subjective data quality. Further research is required to find effective ways to assess current data quality satisfaction at the decision-making levels.

History

School

  • Architecture, Building and Civil Engineering

Published in

Buildings

Volume

13

Issue

4

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2023-03-29

Publication date

2023-04-02

Copyright date

2023

eISSN

2075-5309

Language

  • en

Depositor

Dr Kirti Ruikar. Deposit date: 26 April 2023

Article number

944

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