Term:
2011
Published:
November 21, 2011
Revised:
June 9, 2015
This module addresses processes of quality control. Quality control is the process of monitoring and maintaining the reliability, accuracy, and completeness of the data during the conduct of a project.
Organization: Global Health Informatics Partnership
Author: Beverly Musick
Learning Objectives
- Understand what data quality is.
- Be able to ensure data quality in data collection
- Be able to clean up and account for missing or inaccurate data
Term:
2011
Published:
November 21, 2011
Revised:
June 9, 2015
Jump to:
| Document Title | Creator | Downloads | License |
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01: Data Cleaning - Learning Objectives and Detailed Specifications |
Beverly Musick
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02: Data Cleaning - Slides |
Beverly Musick
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03: Data Cleaning - Video |
Beverly Musick
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04: Data Cleaning - Video, iPod version |
Beverly Musick
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05: Data Cleaning - Audio Only |
Beverly Musick
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