The Oregon DATA Project
DATA QUALITY –
BY CHANCE OR DESIGN?
DATA IS IN DEMAND
Data driven decision making
 Data teams
 High Stakes Accountability
 State collections

QUALITY DATA IS MANDATORY

Components of Quality Data
 Accuracy
 Timeliness
 Security
 Usefulness

Quality data is needed for quality decisions
FACTORS IMPACTING QUALITY
Technology
Timeliness
Utility
Security
Components
Hardware
Software
Network
Policies &
Regulations
Factors
Affecting
Data Entry
Environment
Accuracy
Quality Data
Training &
Professional
Development
By chance or design?
Standards &
Guidelines
Timelines &
Calendars
CONTROLLING THE FACTORS BY DESIGN

Data Entry Environment
 Setting
supports data entry accuracy
 Quiet,

free from interruptions, provides privacy
Training
 Annual
review of data requirements
 Data documentation (protocols, procedures)

Timelines
 Data
calendar
 Who is collecting what and when
CONTROLLING THE FACTORS BY DESIGN

Policies and Regulations
 Confidentiality
 Data

security
Standards and Guidelines
 Data
entry performance standards
 Expectations
 Clear

expectations
for accuracy and following protocols
guidelines for process/responsibility
Technology
 Supports
data entry, spotting/correcting errors
WHO HAS RESPONSIBILITY FOR QUALITY?
Quality Data
Directors
Superintendent
Board
Member
Roles
Principal
Technology
Support Staff
Teacher
Office
Staff
RESPONSIBILITY BY DESIGN

At an individual level
 Creator
 Takes
responsibility for data elements they create and
understands the impact of data accuracy
 Confirmer
 Understands
the importance of accurate data
confirmation to ensure data integrity
 Consumer
 Understands
how to use appropriate data in appropriate
ways to support instruction and student achievement
RESPONSIBILITY BY DESIGN

Leadership at the building/director level
 Assumes
overall ownership for data quality
 Controls
most of the factors that impact data quality
Technology
Policies &
Regulations
Data Entry
Environment
Hardware
Software
Network
Factors
Affecting
Training &
Professional
Development
Standards &
Guidelines
Timelines &
Calendars
RESPONSIBILITY BY DESIGN

Leadership at the building/director level
 Assumes
overall ownership for data quality
 Controls
 Sets
most of the factors that impact data quality
expectation for data accuracy, security,
timeliness, and usefulness
 Creates data steward oversight to maintain data
quality (participates in district DQOC mtgs)
 Identifies (holds accountable) those who consume,
confirm, or create data at the building level
RESPONSIBILITY BY DESIGN

Superintendent
 Sets
district benchmarks that use data
 Expects
others to use data to drive decisions
 Identifies
a district data steward
 Establishes data quality oversight committee
(DQOC) – mtgs quarterly
 Sets “data ownership” expectations
 Building
principals,district leaders (special ed, ELL,
business, etc.)
A CULTURE OF DATA QUALITY
DATA QUALITY BY DESIGN
Create a culture of data quality within the
district
 Use the concept map as a framework for
discussing and improving data quality issues
 Insure that the responsibilities of a data
steward are met within the district

DEFINING A CULTURE OF DATA QUALITY
It is the belief that good data is an integral
part of the educational enterprise.
 Everyone in the enterprise demonstrates
that shared belief by using appropriate data
to achieve the enterprise’s goal of student
achievement.
 The enterprise is willing to invest resources
to obtain quality data
 Everyone in the enterprise shows respect for
the effort taken to produce quality data

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DATA STEWARD RESPONSIBILITIES
Coordinate data collection process
 Provide training
 Resolve errors
 Establish audit procedures (data
certification)
 Create Data Collection Calendar
 Develop and disseminate data entry
standards
 Interpret data entry manuals for end-users

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DATA STEWARD RESPONSIBILITIES




Collaborate with others (directors of curriculum,
special education, assessment, etc.)
Collaborate with the IT Director to enhance
computer software for data entry, correction, and
auditing
Be the driving force for maintaining data accuracy,
utility, timeliness, and security
Be aware of the complexity and changing nature of
the data required for state and federal
accountability (State Collections, NCLB, etc.)
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THE OREGON DATA PROJECT
Developed easy to follow activities that can
help build a culture of data
 97 districts attended trainings across the state
 All ESDs had representation at the trainings
 www.oregondataproject.org

THE OREGON DATA PROJECT
An outside voice to begin the discussion
 Provide consultation to district leadership on
building a culture of data quality
 Facilitate activities
 Available until August 2011

THE OREGON DATA PROJECT

Contact
Ron Hoppes, Technical Training Coordinator
 ron.hoppes@state.or.us
