Data Quality Assurance Workshop

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Presentation transcript:

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

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

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

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

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

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

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

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

Questions & Answers

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.

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