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What is data quality ?

Learn about the importance of accurate and useful data, strategies for enhancing data quality, and the dimensions crucial for maintaining quality data. Explore how data quality philosophy and culture influence decision-making and organizational roles.

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What is data quality ?

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  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?

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