| Title |
Quality Assessment of Standard Public Data: A Case Study of Public Parking Lot Data from the Public Data Porta |
| DOI |
https://doi.org/10.5573/ieie.2025.62.7.37 |
| Keywords |
Public data; Data quality; Data refinement; Parking lot data; Big data |
| Abstract |
This study analyzes the quality status of standardized public data released through the Public Data Portal and proposes a data refinement system for quality improvement. We present quality measurement metrics for standardized public data, evaluating compliance with standards, completeness, and other proposed indicators using the nationwide parking lot information standard dataset published on the Public Data Portal. The assessment results are synthesized into comprehensive scores. The proposed framework is expected to contribute to the evaluation, improvement, and enhanced utilization of standardized public data. |