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Title:Perceived vs. actual spatial data quality : challenges, consequences, and an innovative management framework
Authors:ID Podobnikar, Tomaž (Author)
Files:.pdf RAZ_Podobnikar_Tomaz_2025.pdf (12,52 MB)
MD5: 2EBEEB33F12E23AE224DC803CB606675
 
Language:English
Work type:Unknown
Typology:1.12 - Published Scientific Conference Contribution Abstract
Organization:FIŠ - Faculty of Information Studies in Novo mesto
Abstract:Quality is often regarded as an abstract and elusive concept, becoming tangible only when deficiencies undermine real-world decisions. In spatial planning, for example, inaccuracies in planned land use data within the building permit process may lead to biased outcomes or, in critical cases, impede decision-making altogether. This study examines use cases of spatial data quality issues and their potential consequences, emphasizing both technical dimensions and the human factor, with particular attention to the gap between perceived and actual data quality. The research introduces the concept of this discrepancy as a key challenge in governance, with implications for decisionmaking processes and stakeholder trust. Building on these insights, an innovative approach to spatial data quality management is proposed through an automated Data Quality Management (DQM) framework. The framework is operationalized via the OPIAvalid toolkit, designed to enhance the effectiveness and reliability of national Spatial Information Systems (PIS). The expected contribution lies in providing a systematic methodology for managing spatial data quality, thereby strengthening evidence-based decision-making and fostering greater trust in spatial data infrastructures.
Keywords:perceived and actual data quality, data quality management (DQM), quality assurance/quality control (QA/QC), spatial data quality, automation
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:Str. [215]
PID:20.500.12556/ReVIS-13045 New window
COBISS.SI-ID:265062915 New window
UDC:004.65:528.94
Note:Nasl. z nasl. zaslona; Opis vira z dne 16. 1. 2026;
Publication date in ReVIS:22.01.2026
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Downloads:0
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Record is a part of a monograph

Title:16th International Conference on Information Technologies and Information Society : ITIS 2025
Editors:Maruša Gorišek, Tea Golob, Teja Štrempfel
Place of publishing:Novo mesto
Publisher:Faculty of information studies
Year of publishing:2025
ISBN:978-961-96549-2-7
COBISS.SI-ID:263628291 New window

Secondary language

Language:Slovenian
Keywords:zaznana in dejanska kakovost podatkov, upravljanje kakovosti podatkov, zagotavljanje kakovosti / kontrola kakovosti, prostorska kakovost podatkov, avtomatizacija


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