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Naslov:Perceived vs. actual spatial data quality : challenges, consequences, and an innovative management framework
Avtorji:ID Podobnikar, Tomaž (Avtor)
Datoteke:.pdf RAZ_Podobnikar_Tomaz_2025.pdf (12,52 MB)
MD5: 2EBEEB33F12E23AE224DC803CB606675
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano
Tipologija:1.12 - Objavljeni povzetek znanstvenega prispevka na konferenci
Organizacija:FIŠ - Fakulteta za informacijske študije v Novem mestu
Opis: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.
Ključne besede:perceived and actual data quality, data quality management (DQM), quality assurance/quality control (QA/QC), spatial data quality, automation
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2025
Št. strani:Str. [215]
PID:20.500.12556/ReVIS-13045 Novo okno
UDK:004.65:528.94
COBISS.SI-ID:265062915 Novo okno
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 16. 1. 2026;
Datum objave v ReVIS:22.01.2026
Število ogledov:36
Število prenosov:0
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del monografije

Naslov:16th International Conference on Information Technologies and Information Society : ITIS 2025
Uredniki:Maruša Gorišek, Tea Golob, Teja Štrempfel
Kraj izida:Novo mesto
Založnik:Faculty of information studies
Leto izida:2025
ISBN:978-961-96549-2-7
COBISS.SI-ID:263628291 Novo okno

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:zaznana in dejanska kakovost podatkov, upravljanje kakovosti podatkov, zagotavljanje kakovosti / kontrola kakovosti, prostorska kakovost podatkov, avtomatizacija


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