A Tool for Program Offices to Evaluate Their Data Quality Review Process: Early Lessons

1. A Tool for Program Offices to Evaluate Their Data Quality Review Process: Early Lessons 26th Annual Management Information Systems (MIS) Conference February 14, 2013 3:00-4:00 p.m.

2. Session Purpose • Share a tool for assessing a program’s data quality review process and • Share our lessons learned • Learn from your observations and experiences

3. Overview • Why we developed the tool • How we developed the tool • The data quality review process tool • Use of the tool • Lessons Learned • Discussion

4. The Need • Advance efforts to evaluate the quality of data • Move from identifying and defining data quality components to application • Lack of unified approach to evaluating data quality • Data Governance Board goal

5. EDGB’s 2012 Data Quality Goal Apply the EDGB definitions of data quality and its components (timeliness, completeness, accuracy, validity, usability) to the management of EDFacts data*­­­­­­­­­­­­­­­­­­­­­____________________________________* Strategy: Establish a rubric for measuring data quality that program offices can opt to use.

6. The Development of the Tool EDGB Data Quality Components DQ Process Measurement of DQ (MS PowerPoint Clip Art)

7. Use of the Tool • Tool approved in November 2012 • Seven ED offices are data stewards and anticipated users of the tool • Three users of the tool

8. Lessons Learned – Program Office A • Multiple staff read the questions & responded differently; suggest more defn’s in the tool • Need a documented process for program office data quality review • Developed list of Action Steps to improve data quality review process • Tool is valuable • Provides insight • Facilitates conversation

9. Lessons Learned – Program Office B • Tool did not seem applicable to their flexible process • Independently, the tool is not likely to result in inter-office coordination regarding data quality • Don’t see a need for defined data quality processes

10. Lessons Learned – Program Office C • Highlighted the lack of documented data quality practices • Lack of office capacity (time and expertise) to assess data quality • Could be useful for facilitating discussion among data stewards, data analysts, and EDFacts staff

11. DISCUSSION • Does your organization have a documented data quality review process? • Do your program offices have documented data quality review processes? • How are your data quality review processes coordinated across offices? • Do you have a way of assessing the data quality review processes?