What is data quality ?

1. What is data quality? An introduction to the culture and philosophy of collecting and using accurate and useful data.

2. Objectives • Definedata quality. • Describe aculture and philosophy that support data quality. • Identifystrategiesfor increasing data quality.

3. Data quality means… Timeliness Utility Accuracy And… Data quality is more than metrics. It is also a philosophy and culture.

4. Accuracy • Completeness • Consistency • Utility/Validity • Timeliness • Security • Accessibility Dimensions • Policies and Regulations • Standards and Guidelines • Training and Development • Technology • Data Entry Environment • Timelines and Calendar Factors Data Quality Philosophy and Culture • More Effective Decisions • Program Funding • Grants • Utility/Validity • Improve Instruction Importance Roles • School Board • Superintendent • Principals • Technology Staff • Office Staff • Data Stewards • Teachers

5. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility

6. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility The data represent the truth.

7. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility • All required elements are reported.

8. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Everyone who handles the data shares an understanding of the data and their definitions.

9. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility The data provide the right information to answer the questions that are asked.

10. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Quality data are accessible to users at the correct time in order to provide information for decision-making.

11. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Quality data are secured to protect privacy and to prevent tampering.

12. Dimensions Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Data quality results from data use. Data must be available to authorized staff to improve decision making.

13. Accuracy • Completeness • Consistency • Utility/Validity • Timeliness • Security • Accessibility Dimensions • Policies and Regulations • Standards and Guidelines • Training and Development • Technology • Data Entry Environment • Timelines and Calendar Factors Data Quality Philosophy and Culture • More Effective Decisions • Program Funding • Grants • Utility/Validity • Improve Instruction Importance Roles • School Board • Superintendent • Principals • Technology Staff • Office Staff • Data Stewards • Teachers

14. Factors • Policies and Regulations • Standards and Guidelines • Professional Development • Technology • Data Entry Environment • Timelines and Calendar Schools are bound by district policies, as well as state guidelines and federal regulations.

15. Factors • Policies and Regulations • Standards and Guidelines • Professional Development • Technology • Data Entry Environment • Timelines and Calendar Standards are the values or principles that are followed to achieve data quality.

16. Factors • Policies and Regulations • Standards and Guidelines • Professional Development • Technology • Data Entry Environment • Timelines and Calendar Training in specific skills, as well as broader professional development are important to improving data quality.

17. Factors • Policies and Regulations • Standards and Guidelines • Professional Development • Technology • Data Entry Environment • Timelines and Calendar Technology systems are the tools for collecting, maintaining and reporting data. These systems must support the principles of data quality.

18. Factors • Policies and Regulations • Standards and Guidelines • Professional Development • Technology • Data Entry Environment • Timelines and Calendar Environment refers to more than physical space. A culture of quality data includes support and resources that add value to the data entry process.

19. Factors • Policies and Regulations • Standards and Guidelines • Professional Development • Technology • Data Entry Environment • Timelines and Calendar Multiple deadlines are a part of the school data cycle. A calendar will help to organize resources.

20. Accuracy • Completeness • Consistency • Utility/Validity • Timeliness • Security • Accessibility Dimensions • Policies and Regulations • Standards and Guidelines • Training and Development • Technology • Data Entry Environment • Timelines and Calendar Factors Data Quality Philosophy and Culture • More Effective Decisions • Program Funding • Grants • Utility/Validity • Improve Instruction Importance Roles • School Board • Superintendent • Principals • Technology Staff • Office Staff • Data Stewards • Teachers

21. Importance Information is key to any decision-making process. This process is only as good as the data used to inform it.

22. Importance • Possible consequences of inferior data quality include • Inefficiency • Loss of time • Lack of confidence in using the data • Poor decisions

23. Importance Assessing the data quality at any organizational level is the first step to plan for improvements. The National Center for Education Statistics (NCES) has a self-assessment tool for schools and districts.

24. Accuracy • Completeness • Consistency • Utility/Validity • Timeliness • Security • Accessibility Dimensions • Policies and Regulations • Standards and Guidelines • Training and Development • Technology • Data Entry Environment • Timelines and Calendar Factors Data Quality Philosophy and Culture • More Effective Decisions • Program Funding • Grants • Utility/Validity • Improve Instruction Importance Roles • School Board • Superintendent • Principals • Technology Staff • Office Staff • Data Stewards • Teachers

25. Roles • The NCES has tip sheets that define roles for data quality at the school and district: • Office Staff • Technology Support Staff • Data Stewards • Teachers • Principals • Superintendents • Board Members • The tip sheets offer checklists that include • Things to think about • Things to do • Outcomes

26. Want more? Visit http://www.k12.wa.us/CEDARS/dataquality/

27. Discussion • Where does data quality play a role in your program? • What are the consequencesfor low and high data quality for your program? • How do you communicate with the field to support high data quality? What other strategiesdo you use to improve data quality?