공공데이터를 활용한 주소 기반 데이터 분석과 제언

초록

Addresses are a critical component of open government data, used across many aspects of citizens’ lives. However, the quality of address data remains an issue. Understanding the volume and scope of address data usage is essential to enhancing its value, yet identifying address-related information within vast public datasets is challenging. This study presents a method for identifying datasets containing addresses from 13 domestic data portals, including data.go.kr, and analyzes address data usage patterns based on this approach. We identify address-related datasets using an algorithm and expert review to select relevant column names from the datasets. The analysis reveals that about 37% of open data includes addresses. Notably, land lot addresses are often used alongside street number addresses. Based on these findings, there is a need to standardize column names related to addresses and establish a systematic linkage between road name addresses and land lot number addresses.

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