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    <dcat:Catalog>
        <dcat:dataset>
            <dcat:Dataset>
                <dct:description xml:lang="kr">경기도 파주시 장애인전용주차구역위반과태료 주요수납은행현황에 대한 데이터로, 행정구역식별정보인 시도명,시군구명,시군구코드, 금융기관관련속성인 은행코드,은행명, 해당수납은행의 사용여부에 대한 데이터 등으로 구성되어 있습니다. 이 데이터셋은 시군구코드와 은행코드를 활용하여 과태료 부과 → 고지 → 수납확인까지 자동으로 연계되는 RPA(로봇프로세스자동화), 지역 금융 서비스 접근성 연구, 과태료 납부 가능 은행 안내 기능을 지도 서비스에 연동하여 시민이 가장 가까운 납부처를 쉽게 찾도록 하는 민간 지도 서비스·내비게이션 고도화 등의 부가기능 개발, 시군구코드와 은행코드를 활용해 과태료 부과·납부 시스템, 지방세·과태료 통합수납 플랫폼 등과의 연계 구조를 설계하거나 자동화 로직 구축, 수납은행 가용 여부(사용여부)를 활용해 지역 행정 편의성 지수, 공공서비스 접근성 지표 등의 산출 참고자료 등에 활용될 수 있습니다.</dct:description>
                <dct:description xml:lang="en">This data is about the main banks that collect fines for violations of disabled parking spaces in Paju-si, Gyeonggi-do. It consists of administrative district identification information such as city/province name, city/county/district name, and city/county/district code; financial institution-related attributes such as bank code, bank name, and data on whether the collecting bank is in use. This dataset can be used for RPA (Robotic Process Automation) that automatically links the process of imposing fines → notification → payment confirmation using city/county/district codes and bank codes; research on accessibility to regional financial services; development of additional functions such as private map services and navigation enhancements that link the guidance function for banks that accept fine payments to map services so that citizens can easily find the nearest payment location; designing or building automation logic for linking structures with fine imposition/payment systems and integrated local tax/fines collection platforms using city/county/district codes and bank codes; and calculation of regional administrative convenience indices and public service accessibility indices using the availability (use) of collecting banks.</dct:description>
                <dct:title xml:lang="kr">경기도 파주시_장애인전용주차구역위반과태료주요수납은행</dct:title>
                <dct:title xml:lang="en">Paju-si, Gyeonggi-do_Major banks collecting fines for violations of disabled parking zones</dct:title>
                <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-11-17</dct:issued>
                <dct:modified rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-11-17</dct:modified>
                <dct:publisher>
                    <foaf:Organization>
                        <foaf:name>경기도 파주시</foaf:name>
                        
                    </foaf:Organization>
                </dct:publisher>
                <dcat:contactPoint>
                    <vcard:Organization>
                        <vcard:organization-unit>정보통신과</vcard:organization-unit>
                        <vcard:hasTelephone rdf:resource="031-940-4226"/>
                    </vcard:Organization>
                </dcat:contactPoint>
                <dct:conformsTo ></dct:conformsTo>
                <dcat:theme>일반공공행정 - 지방행정·재정지원</dcat:theme>
                <dcat:keyword xml:lang="kr">디지털금융연계,행정투명성,디지털행정,과태료공정성,금융서비스접근성,전자금융트렌드</dcat:keyword>
                <dcat:keyword xml:lang="en">Digital financial linkage,Administrative transparency,digital administration,Fairness of fines,Accessibility to financial services,Electronic Finance Trends</dcat:keyword>
                <dct:rights>이용허락범위 제한 없음</dct:rights>
                <dct:accrualPeriodicity>연간</dct:accrualPeriodicity>
                
                <dcat:landingPage rdf:resource="https://www.data.go.kr/data/15152628/fileData.do"/>
                <dcat:distribution>
                    <dcat:Distribution>
                        <dct:accessURL ></dct:accessURL>
                        <dcat:description></dcat:description>
                        <dcat:format>csv</dcat:format>
                        <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-11-17</dct:issued>
                        <dcat:title>경기도 파주시_장애인전용주차구역위반과태료주요수납은행_20251117</dcat:title>
                    </dcat:Distribution>
                </dcat:distribution>
                <dct:spatial></dct:spatial>
                <dct:temporal></dct:temporal>
            </dcat:Dataset>
        </dcat:dataset>

        
    </dcat:Catalog>
</rdf:RDF>