| Title: | Perceived vs. actual spatial data quality : challenges, consequences, and an innovative management framework |
|---|
| Authors: | ID Podobnikar, Tomaž (Author) |
| Files: | 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  |
|---|
| COBISS.SI-ID: | 265062915  |
|---|
| UDC: | 004.65:528.94 |
|---|
| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 16. 1. 2026; |
|---|
| Publication date in ReVIS: | 22.01.2026 |
|---|
| Views: | 40 |
|---|
| Downloads: | 0 |
|---|
| Metadata: |  |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |