Data Quality in Context

Year: 1997
Title: Data Quality in Context
Abstract: Seminal work discussing data quality across various dimensions in organizational contexts.
Objectives: To shift the focus of data quality discussions beyond mere accuracy to a broader contextual understanding of fitness for use.
Methodology: Conceptual analysis and development of a multi-dimensional framework for data quality evaluation by data consumers.
Algorithm Used: N/A (Conceptual Foundations)
Top Model: Data Quality Dimensions Framework
Accuracy: N/A (Conceptual)
Advantages: Provided the foundational conceptual basis for subsequent standardized catalogs like ISO 25012.
Drawbacks: Did not address the specifics of graph-based data structures or automated assessment algorithms common today.
Source: https://dl.acm.org/doi/pdf/10.1145/253769.253804 Edit

Criteria (15)

Name Description Definitions
Accessibility Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Accuracy Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Appropriate Amount Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Believability Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Completeness Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Concise Representation Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Consistent Representation Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Ease of Understanding Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Interpretability Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Objectivity Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Relevancy Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Reputation Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Security Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Timeliness Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Value Added Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
  • Quality dimension from Data Quality in Context (1997)
  • Seminal work discussing data quality across various dimensions in organizational contexts. (1997)
Back to Frameworks Compare with Others