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Naslov:Bridging perceived and actual data quality : automating the framework for governance reliability
Avtorji:ID Podobnikar, Tomaž (Avtor)
Datoteke:.pdf RAZ_Podobnikar_Tomaz_2025.pdf (9,08 MB)
MD5: C4DD8FC3E4E1BCFA6808E6CAC27E946A
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FIŠ - Fakulteta za informacijske študije v Novem mestu
Opis:The discrepancy between perceived and actual data quality, shaped by stakeholders’ interpretations of technical specifications, poses significant challenges in governance, impacting decision-making and stakeholder trust. To address this, we introduce an automated data quality management (DQM) framework, implemented through the NRPvalid toolkit, as a standalone solution incorporating over 100 assessment tools. This framework strengthens data quality evaluation and stakeholder collaboration by systematically bridging subjective perceptions with objective quality metrics. Unlike traditional producer–user models, it accounts for complex, multi-stakeholder interactions to improve data governance. Applied to planned land use (PLU) data, the framework significantly reduces discrepancy, as quantified by error score metrics, and directly enhances building permit issuance by streamlining interactions among administrative units, municipalities, and investors. By evaluating, refining, and seamlessly integrating spatial data into the enterprise spatial information system, this scalable, automated solution supports constant data quality improvement. The DQM and its toolkit have been widely adopted, promoting transparent, reliable, and efficient geospatial data governance.
Ključne besede:perceived and actual data quality, data quality management, DQM, quality assurance/quality control, QA/QC, spatial data quality, data quality standards, data governance, planned land use, automation, uncertainty management, geospatial
Status publikacije:Objavljeno
Datum objave:01.01.2025
Leto izida:2025
Št. strani:Str. 1-24
Številčenje:Vol. 15, iss. 4, [article no.] 117
PID:20.500.12556/ReVIS-11590 Novo okno
UDK:004.6:005.336.3
ISSN pri članku:2076-3263
COBISS.SI-ID:232341763 Novo okno
DOI:10.3390/geosciences15040117 Novo okno
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 11. 4. 2025;
Datum objave v ReVIS:14.04.2025
Število ogledov:151
Število prenosov:1
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Geosciences
Skrajšan naslov:Geosciences
Založnik:MDPI AG
ISSN:2076-3263
COBISS.SI-ID:519967769 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:zaznana in dejanska kakovost podatkov, upravljanje kakovosti podatkov, zagotavljanje/kontrola kakovosti, kakovost prostorskih podatkov, standardi kakovosti podatkov, upravljanje podatkov, načrtovana raba zemljišč, avtomatizacija, obvladovanje negotovosti, geoprostorski


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