1. Data Quality Assurance Workshop
MEASURE Evaluation
Data Quality Assurance Workshop
Session 2:
Poor Data Quality

2. Topics to Cover Examples of bad data quality Good data quality summary
Unclear indicator definition
Not clear data management guidelines
Incomplete data source
Double counting
Lack of data control/checks
Good data quality summary

3. Unclear Indicator Definition
No written instructions on data collection, entry and aggregation
Self interpretation of the meaning of the Indicators
Designated staff for data collection, entry, aggregation and reporting are not trained

4. No/Unclear Data Management Guidelines
Missing of written data management and procedures guidelines
Self/Auto guidance on data management
Designated staff not trained on the guidelines
Incomplete data collection guideline

5. Incomplete data sources
Data is missing or unusable
Absence or incomplete availability of data collection tools
Linkages between data sources are missing

6. Double Counting
Type I - example
Type II - example
Type III - example

7. Lack of data control/check
Absence or missing verification procedures
Missing/No verification tools
Missing/No instruction guidelines of corrective measures for errors
Inconsistency between reports and data sources

8. Good Data Quality Summary
Functioning information systems
Clear definition of indicators consistently used at all levels
Description of roles and responsibilities at all levels
Specific reporting timelines
Standard data collection and reporting forms and tools with clear instructions
Documented data collection review procedure to be performed at all levels
Steps for addressing quality issues
Storage policy and filing procedures

9. Questions & Answers

10. MEASURE Evaluation is funded by the U.S. Agency for
International Development (USAID) and implemented by the
Carolina Population Center at the University of North Carolina at
Chapel Hill in partnership with Futures Group, ICF International,
John Snow, Inc., Management Sciences for Health, and Tulane
University. Views expressed in this presentation do not necessarily
reflect the views of USAID or the U.S. government.
MEASURE Evaluation is the USAID Global Health Bureau's
primary vehicle for supporting improvements in monitoring and
evaluation in population, health and nutrition worldwide.