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HOW GOOD ARE MY DATA? INFORMATION QUALITY ASSESSMENT METHODOLOGY
Citation:
Brilis, G M. HOW GOOD ARE MY DATA? INFORMATION QUALITY ASSESSMENT METHODOLOGY. Presented at 20th Annual National Conference on Managing Quality Systems, St. Louis, MO, April 2-6, 2001.
Impact/Purpose:
The overall objective of this task is to provide the Agency with improved science guidance and strategies for more effective science management and administration.
Description:
Quality assurance techniques used in software development and hardware maintenance/reliability help to ensure that data in a computerized information management system are maintained well. However, information workers may not know the quality of the data resident in their information systems.
Knowledge of the quality of the information and data in an enterprise provides managers with unimportant facts for managing and improving the processes.. This paper provides information to assist information workers in planning and implementing effective assessment of information data and quality. The areas covered here include:
identifying appropriate information quality indicators developing assessment procedures
conducting information quality assessments reporting information assessment results
tracking improvements in information quality