This paper proposes the Data Architecture implementation process and the suggestions for automation which will enable the analyzing and measuring of the data structure as well. We verified the standardization of data that proposes a baseline for minimum quality, communications with stakeholder within an information system, minimization of application changes, and the effect of data values on quality improvement. The baseline is tested through the measurement and assessment of the quality indicator of a data structure as well as a quality control process deduced during the implementation.

Abstract
 1. 서론
 2. 이론적 배경 및 고찰
  2.1 전사 및 데이터 아키텍처 프레임워크
  2.2 데이터 표준화 및 구성요소
  2.3 데이터 품질 및 품질관리
  2.4 데이터 구조 품질관리 성숙도 모델
 3. 데이터 아키텍처 구축 연구
  3.1 데이터 아키텍처의 데이터구조 구축절차
  3.2 현행시스템과 데이터 참조모델 비교분석
  3.3 주제영역과 메타모델 정의
  3.4 개념 데이터모델 설계
  3.5 논리 데이터모델 설계
  3.6 데이터 아키텍처 구축 결과 평가
 4. 데이터구조 품질지표 평가 방안 연구
  4.1 데이터구조 품질속성 매핑 방안
  4.2 데이터구조 품질관리 프로세스 설계
  4.3 데이터구조 품질지표 설계
  4.4 데이터구조 품질 측정 자동화 방안
  4.5 데이터구조 품질평가에 대한 가정
  4.6 데이터구조 품질지표 측정대상
  4.7 데이터구조 결함율 측정 결과
  4.8 데이터구조 결함율 개선 평가
 5. 결론
 참고문헌

• 송해창(한양대학교 공학대학원)
• 강창욱(한양대학교 산업경영공학과)