Download presentation
Presentation is loading. Please wait.
1
What is data quality? An introduction to the culture and philosophy of collecting and using accurate and useful data.
2
Objectives Define data quality.
Describe a culture and philosophy that support data quality. Identify strategies for increasing data quality.
3
Data quality means… And… Accuracy Utility Timeliness
Data quality is more than metrics. It is also a philosophy and culture.
4
Data Quality Philosophy and Culture Dimensions Factors Importance
Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Policies and Regulations Standards and Guidelines Training and Development Technology Data Entry Environment Timelines and Calendar Factors Data Quality Philosophy and Culture Importance More Effective Decisions Program Funding Grants Utility/Validity Improve Instruction 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
Data Quality Philosophy and Culture Dimensions Factors Importance
Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Policies and Regulations Standards and Guidelines Training and Development Technology Data Entry Environment Timelines and Calendar Factors Data Quality Philosophy and Culture Importance More Effective Decisions Program Funding Grants Utility/Validity Improve Instruction 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 Environment refers to more than physical space.
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 Multiple deadlines are a part of the school data cycle.
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
Data Quality Philosophy and Culture Dimensions Factors Importance
Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Policies and Regulations Standards and Guidelines Training and Development Technology Data Entry Environment Timelines and Calendar Factors Data Quality Philosophy and Culture Importance More Effective Decisions Program Funding Grants Utility/Validity Improve Instruction 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
Data Quality Philosophy and Culture Dimensions Factors Importance
Accuracy Completeness Consistency Utility/Validity Timeliness Security Accessibility Policies and Regulations Standards and Guidelines Training and Development Technology Data Entry Environment Timelines and Calendar Factors Data Quality Philosophy and Culture Importance More Effective Decisions Program Funding Grants Utility/Validity Improve Instruction 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
27
Discussion Where does data quality play a role in your program?
What are the consequences for low and high data quality for your program? How do you communicate with the field to support high data quality? What other strategies do you use to improve data quality?
Similar presentations
