Many organizations collect data to help manage and monitor the performance of their programs. This administrative data can also be used to improve program evaluation and management and produce original research. As a first step, organizations should ensure the data is of a high enough quality to support research and evaluation. The webinar will serve as a primer on how organizations can improve the quality of administrative data for research. The webinar will cover:
- The importance of administrative data quality,
- The major issues of data quality,
- Strategies for reviewing the quality of the data, and
- Strategies for cleaning the data.
The webinar will cover major issues of data quality, including: units of analysis, missing values, invalid values, incorrect formatting, and value inconsistencies both within and across variables. In addition, the webinar will provide specific and concrete strategies for reviewing and cleaning the data in preparation for research. The webinar will be particularly useful for organizations that are relatively new to using administrative data for research and evaluation.
China Layne, Ph.D., Manager, Data Analytics and Research at Summit Consulting