Surfing the Data Standards: Colorado’s Path 2012 MIS Conference – San Diego
Daniel Domagala, Colorado Department of Education David Butter, Deloitte Consulting LLP Zeynep Young, Double Line Partners
The SEA Data Challenge
Accountability
Increased and changing accountability demands drive up the cost and complexity of data collections.
LEA differences
LEAs have different source data systems. Even if on the same platform, different policies and practices complicate data collections.
Data standards
Education data standards efforts have not solved the problem. Difficult to understand and navigate the various standards efforts.
The IT Reality• Many source systems• Escalating technology
demands• Constrained
resources• Dependent on
vendor cooperation
Education data management isdecentralized and complex
3
Colorado Situation• CDE collects a wide variety of information from 178 LEAs to
support different requirements:• Monitor compliance with federal and State law, regulations and
standards.• Preparation of federal reporting requirements.• Respond to State legislative and board of education data
requests.• Produce annual statewide summary publications.• Determine if classes are receiving instruction from Highly
Qualified Teachers.• 22 different data collections at different points in the school
year• ASCII flat-file, fixed field formats are used for each collection
Complex submission and resubmission process for each collection
•Extract from source systems
•Verify the data•Generate flat file
formats
Extract and format data
•Upload into temporary file
•Run preliminary edit checks
•Generate error report
Upload data • Load into staging database
•Run validations•Generate error report
Submit data
•Generate summary report
•Review summary report•Approve data
Approve data •Run state-level validations
•Generate error report•Close the collection
Final validations
Changes
Web Data Collection System Objectives
• Reduce the number of re submissions by an LEA for a given ‐collection by 50%
• Reduce the overall number of collections by 20%• Reduce data redundancy so that the total number of data
elements collected is reduced by 20%• Provide an extensible system to support future data collection
technology• Provide a technology that supports rapid data exchange and
accommodates new data elements
Surfing the data standards
Increasing Levels of Operational Specificity
Provides users with a list of data elements to help ensure consistency
NCES
“Data Handbook”
CEDS
“Data Definitions”
Ed-Fi
“Data Model”
Implementing Entity
“Implementation Guide”
Provides users a list of data elements with definitions and code sets, with a focus on the meaning of data stored in a SIS
Provides users a model for exchanging education data
Provides users documentation on how to use, adapt, and extend the model
Surfing the data standards
Increasing Levels of Operational Specificity
NCES
“Data Handbook”
CEDS
“Data Definitions”
Ed-Fi
“Data Model”
Implementing Entity
“Implementation Guide”
Surfing the data standards
Increasing Levels of Operational Specificity
NCES
“Data Handbook”
CEDS
“Data Definitions”
Ed-Fi
“Data Model”
Implementing Entity
“Implementation Guide”
“Data Handbook”PLUS
Surfing the data standards
Increasing Levels of Operational Specificity
NCES
“Data Handbook”
CEDS
“Data Definitions”
Ed-Fi
“Data Model”
Implementing Entity
“Implementation Guide”
“Data Handbook”PLUS
“Data Definitions”PLUS
Surfing the data standards
Increasing Levels of Operational Specificity
NCES
“Data Handbook”
CEDS
“Data Definitions”
Ed-Fi
“Data Model”
Implementing Entity
“Implementation Guide”
“Data Handbook”PLUS
“Data Definitions”PLUS
“Data Model”PLUS
Ed-Fi streamlines the data collections
Funding, Budgets, and
Actuals
Student Information System (SIS)
Operational Data System
(ODS)
Other District Source Data
By continuously collecting fine-grained education data throughout the year, satisfying the various reporting requirements are isolated for maximum efficiency.
DistrictSource Systems &
Raw Data
Web Data Collection
System
Operational Data System
Reporting
This process is completed for each LEA
• Single, adaptable infrastructure• Most new reporting changes can be handled without
impact to the LEAs
Ed-Fi XML Interchanges
Ed-Fi Database Schema
Federal reporting
State reporting
Legislative requests
Board requests
Annual summaries
Web Data Collection System
Configurable File Formats for Collection and Extraction
Business Rules and Statistical Validations
Flexible Data Collection Methods
Meta Data Management
Customized Workflow
Integration of COTS Reporting and BI Tools
Security, Audit and Logon Management
We believe Ed-Fi is a positive and transformational force in using education data….and our actions demonstrate our beliefs
CDE Chartering of bold project to implement Ed-Fi compliant data exchanges in an aggressive timeline.
Commitment of significant CDE resources for business process redesign and capacity building.
Deloitte Major enhancements to Deloitte WDCS Solution to support Ed-Fi compliant data exchanges.
DLP & MSDF Commitment of Ed-Fi subject matter experts are enabling rapid design of an Ed-Fi compliant data collection strategy for Colorado, in time for implementation as part of the WDCS Data Exchange Initiative.
For Colorado - Acceleration
Data Warehouse(K-12)
External Data Files
ETL
Colorado Department of Education Information Management Systems
SLDS Strategic Objectives
Schools
District / LEA
Pre-K
Post-Secondary
Labor / Workforce
OperationalData Store(CEDS/Ed-Fi)
LINK
Real-Time(Transactional)
After-Time(Analytical)
CAPTURE
PERFORM
PROVID
E
Eden& EDFacts
Reports Automation
For Colorado and Beyonda portfolio of low cost and rapidly deployed Ed-Fi APPs that improve student outcomes in real time.
Early WarningSystems
High School Feedback Reporting
Program & Financial
Effectiveness
Educator Effectiveness
Conclusions• Ed-Fi brings the years of education standards activities to a
point where CDE can implement and tangibly benefit from it.• Fine-grained SEA data collection from LEAs should reduce
overall data collection costs.• Supporting data collection infrastructure needs to flexible for
future extensions.
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