Data Quality Committee Charge and Membership

Rationale for Creation of Data Quality Committee

  • No district data dictionary of available data fields and definitions exists
  • There is inaccurate, inconsistent, and incomplete data and data reports
  • There is a lack of communication method for informing users when a data field changes or when it has been discontinued
  • Some instances of duplicate data occurs as well as lack of data collection
  • Shadow databases are being kept that cannot be shared and have issues of data security
  • Collection and reporting of data is sometimes duplicated and takes longer than it should
  • Some data is not trustworthy
  • There is a lack of access to official data sources

 Charge

  1. To be consistent in our approach, designation and governance of data, metadata, and the information base of business processes
  2. To provide data definitions and processes which are consistent, uniform and accurate for reporting and analyses
  3. To provide a framework which ensures data are captured accurately and consistently to maximize clarity of common usage allowing management to make informed and timely decisions

Institutional research (IR) has the responsibility for the vast majority of official internal and external information requests and will therefore lead this effort.  IR will be assisted by the full support and participation of representatives from Informational Technology, Enrollment Services, and key functional units and areas throughout the district.

This cross functional committee will serve as a decision-making body to resolve data issues and establish interdependent data usage and definitions for the proper handling and interpretation of institutional data.  These definitions will be stored in a data dictionary which will contain details of each element from a technical and functional perspective.  The committee will serve as a common ground to communicate and coordinate data related issues and will make recommendations to senior administration regarding significant issues that have broad implications.

Tasks

  1. Review data requirements district wide
  2. Develop a data dictionary
  3. Facilitate data cleanup and auditing, and correct existing data quality problems
  4. Examine business practices related to the collection and recording of data
  5. Establish a data custodian for every piece of information that is collected and make that custodian responsible for data quality

The Data Quality Committee will be an ongoing committee and will report directly to the Vice Chancellor of Academic Affairs and Technology.  Members to the committee will be appointed by the Vice Chancellor with consultation from appropriate department supervisors or governance leaders.

Data Quality Committee

  1. Kristy Bishop, Institutional Research and Assessment, Chair
  2. Kathy Hale, Enrollment Services
  3. Karen Goos, Associate Dean, BR
  4. Patricia Amick, Administrative Services
  5. Kim Luken, Accounting Faculty, MW
  6. Melissa Marr, IT Project Manager
  7. Karen Moore, Dean, BTC
  8. Carlton Fowler, Enrollment Manager, PV
  9. David Gann, CTE Program Coordinator, LV
  10. Christina McGee, Human Resources
  11. Dena Norris, Financial Aid
  12. Todd Martin, Biology Faculty, BR
  13. Sydney Beeler, Student Development

Bibliography

What is Quality Data?  Accuracy, Integrity, Consistency, Completeness, Validity, Timeliness, Accessibility (Rome & Moore, 2004).  Rome, J. & Moore, S.  (2004).  Dealing with Data Quality:  How a Data Warehouse Can Help.  Arizone State University.  Presentation at CUMREC.

“The business costs of non-quality data including irrecoverable costs, rework of products or services, workarounds, and lost and missed revenue may be as high as 10 to 25 percent of revenue or total budget of an organization”  (English, 1999).

http://net.educause.edu/ir/library/pdf/eqm0110.pdf – Quality Data – An Improbable Dream?

Data Quality Committee Charge