원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 9 Number 4
2021.12
pp.345-354
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Data quality issue in information systems is analyzed with focus on conceptual data modeling. Extensive investigation through triangulation of case studies is attempted to find how much extent inappropriate data modeling practices exercised in real workplace environment. It is revealed that more than 40 percent of data adversely contributed to unnecessary data redundancy, i.e., the level of data obesity is over 40 percent. Another contribution of this paper lies in excavation of all the categories of inappropriate data modeling practices, which has been previously only partially uncovered in the literature. New findings in this paper prove that the extent of inappropriate modeling is more serious that previously reported.
목차
Abstract
1. INTRODUCTION
1.1 Difficulty of Achieving Quality Database Design
1.2 Data Modeling as Core Element of Information Systems
1.3 Objectives
2. LITERATURE REVIEW
2.1 Conceptual Data Model as Evaluation Criterion of Data Quality
2.2 Timeliness versus Consistency
2.3 Pitfalls in Data Modeling
3. ANALYSIS OF INDUSTRY CASE STUDIES
3.1 Analysis on Misuse in Foreign Keys in Conceptual Data Models
3.2 Analysis on Incompliance to Legitimate Data Modeling
3.3 Incongruence against Legitimate Data Modeling Constructs
3.4 Misuse of Non-key Attributes
4. RESULT AND DISCUSSION
4.1 Interpretation of Result
4.2 Ambiguity Embedded in the Process of Denormalization Practices
5. CONCLUSION
REFERENCES
1. INTRODUCTION
1.1 Difficulty of Achieving Quality Database Design
1.2 Data Modeling as Core Element of Information Systems
1.3 Objectives
2. LITERATURE REVIEW
2.1 Conceptual Data Model as Evaluation Criterion of Data Quality
2.2 Timeliness versus Consistency
2.3 Pitfalls in Data Modeling
3. ANALYSIS OF INDUSTRY CASE STUDIES
3.1 Analysis on Misuse in Foreign Keys in Conceptual Data Models
3.2 Analysis on Incompliance to Legitimate Data Modeling
3.3 Incongruence against Legitimate Data Modeling Constructs
3.4 Misuse of Non-key Attributes
4. RESULT AND DISCUSSION
4.1 Interpretation of Result
4.2 Ambiguity Embedded in the Process of Denormalization Practices
5. CONCLUSION
REFERENCES
저자정보
참고문헌
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