Ed-Fi Overview and Implementation Playbook

Last updated: December 16, 2024

This playbook provides an overview of the Ed-Fi Technology Suite and practical guidance for State Education Agencies (SEAs) implementing Ed-Fi Data Standard for data modernization. It covers the problem space, available implementation approaches, a phased timeline, and best practices for vendor and LEA coordination.

Data Pain Points

States and districts share related but distinct data challenges.

State Education Agencies:

• Timeliness — responding to legislative data requests can take weeks or months
• Data quality — data received from districts is often in different formats and missing information
• Costly collection — the average SEA employs 10–15 FTEs ($1.1M+) to process and clean district data

Local Districts:

• Reporting burden — average of 6 FTEs ($0.5M) per district to collect and format data
• Absenteeism — need earlier alerts of potential chronic absenteeism rather than months later
• Assessments — lack access to a consolidated student-level view of assessment results
• College and Career Readiness — limited visibility into performance against state targets

Ed-Fi Alliance's Mission

The Ed-Fi Data Standard enables data interoperability across K–12 states, districts, and vendors through four pillars:

Impact

State Reporting Savings: Nebraska Example

Adopting the Ed-Fi Data Standard for state reporting delivers substantial savings:

Area	Impact
District data burden	Reduced by ~25% or 1.5 FTEs per district (~$125K savings × 244 districts)
EDFacts quarterly reporting	Reduced from 10 weeks to less than 1 day
Average Daily Membership reporting	Reduced from 10 days to less than 4 hours
SEA FTEs for district data collection	Reduced from 10 to 7
Total annual savings	~$30.7M (state) + ~$0.4M (SEA operations)

Source: Nebraska Department of Education

District Use Cases: Michigan Example

Michigan demonstrates how the Ed-Fi Data Standard enables district-level impact beyond state reporting:

Category	Example
Vendor integrations	LEAs now have ~10 integrations per school without managing each individually
Analytics	MiRead (reading level identification); Digital Equity Data Collection
Tools	MiStrategyBank (evidence-based strategies); MiEWIMS (attendance and behavior plans)

"The ability to obtain immediate information on newly enrolled students has improved our ability to provide timely services. Before we would have to wait for the previous school to send student status related to special education, English language, homelessness, etc., which caused a delay in needed services."

— Sarah Mohler, Madison District

Implementation Approaches

There are three primary ways to implement the Ed-Fi Data Standard:

Approach	Description	Benefits	Tradeoffs
Reporting Only	Deploy Ed-Fi to modernize state reporting	Drives cost savings ($30M+); not dependent on having ESAs	Longest (2.5+ years) time to impact; doesn't address local use cases
Data Hub Only	ESAs-led data hub providing local use cases and data services for districts	Shared (2-3 year) time to impact; addresses local use cases; State funds offset (75%) up to limited services	Requires ESA compliance on vendor; Vendor compliance can be mixed
Reporting + Data Hub	Data hub addresses local use cases and state defines reporting specs. ESAs map local; state defines reporting	Greatest impact; $30M+ local use cases; Most (1 school year) time to impact; Addresses all of reporting and LEA burden	Requires ESA services model; State + ESA alignment required

Best Practice

The Reporting + Data Hub approach is considered best practice where a strong ESA model exists and the state wants to de-risk reporting modernization. It delivers the greatest combined impact: $30M+ in state reporting savings plus local district use case benefits.

Reporting + Data Hub: Recommended Approach

Implementation Phases

Key activities by phase:

• Planning — RFP to identify a managed provider; ESA-led solution design; SEA data element mapping; data hub funding model; budget ($2.5M for reporting plus any data hub state funding up to $2M)
• Productize / Pilot — develop 2–3 initial local use cases (e.g., absenteeism); launch data hub; pilot state reporting with 10–20 LEAs and vendors
• Parallel — run Ed-Fi-based reporting alongside the legacy system for the full school year to ensure accurate funding

Architecture

Core Implementation Team

Risk Mitigation

Implementation

The Four Stages

Key to Success

Best practice is to reach production within two years. A faster timeline reduces unnecessary waste and builds team confidence. With vendor awareness, use of MSPs, and access to well-known best practices, the timeline to production has become much more rapid than a few years ago.

Planning Phase (3–6 Months)

Stakeholder activities during planning:

• SEA — Plan the project; assemble internal and external expertise; launch key communications with LEAs and vendors
• LEAs — Understand the goals and impacts of the modernization project; initiate communications with their vendors
• Vendors — Understand the goals and impacts; initiate communications with LEAs
• ESAs (Data Hub) — Build business plans collaboratively with members; explore candidates for initial data services

SEA tasks proceed in three phases:

SEA goals: (1) Secure Ed-Fi expertise, (2) Align internal teams, (3) Launch key communications with LEAs and vendors, (4) Prepare for the pilot phase.

Engage Ed-Fi Expertise

Hire a badged Ed-Fi Managed Service Provider (MSP) or consultant early.

• MSPs dramatically accelerate progress — they have done this many times and understand hosting options, maintaining current Ed-Fi products, debugging integrations, and providing vendor support
• If you have a preferred vendor list, SEAs have successfully asked those providers to sub-contract with an experienced Ed-Fi MSP
• The Ed-Fi Alliance maintains a list of badged MSPs and can provide references from other Ed-Fi states

Rethink SEA Processes

Moving from file-based to API-based collection requires process changes:

Recommended	Not Recommended
Perform required data snapshots on SEA systems	Require LEA vendors to do "as-of" dates or data snapshots
Plan reporting around continuous integration of LEA data systems with the state	Reinforce "reporting window" patterns and milestones
Think in terms of software release cycles and follow Ed-Fi guidelines for publishing specifications	Release late changes to specifications that vendors cannot accommodate

See Recommended SEA Process Changes for API-based Data Collection.

Select Initial Reporting Targets

• Start with "core" collections — enrollment counts/ADA, special services populations — and expand over time
• Choose enough scope to enable LEAs to transition from older systems and relieve burden
• Do not attempt all collections at once; scope can be added in later stages

Data Mapping and Specifications Development

Recommended	Not Recommended
Use your MSP for mappings and creating initial data specifications	Do the Ed-Fi mappings on your own with staff new to Ed-Fi standards
Follow Ed-Fi Descriptor Guidance for code sets in your specifications	Use non-standard Descriptor values for elements critical to your collections
Train your staff on the Ed-Fi Data Standard using your MSP	Allow this process to take more than 2 months

Reporting + Data Hub Planning Actions

The SEA's goal during this phase is to recruit ESA interest and identify data hub pilots. ESAs should:

• Bring internal leadership on board
• Draft a business model
• Engage an Ed-Fi Managed Service Provider

Pilot Phase (3–6 Months)

Stakeholder activities during the pilot:

• SEA — Running a live pilot with 10–20 LEAs to support internal data system updates and external vendor and LEA development
• LEAs — Pilot LEAs actively submitting data; attending trainings and using early support resources
• Vendors — Working with 2–3 customers to develop Ed-Fi API capabilities against an early draft of state specifications
• ESAs (Data Hub) — Selecting initial data services and securing funding; finalizing business plan

SEA goals: (1) Run a live pilot with 10–20 LEAs, (2) Develop initial vendor Ed-Fi capability, (3) Plan for the Parallel Stage.

During this phase, development teams begin updating dependent systems: validations, ETL/ELT to the data warehouse, and LEA reporting interfaces. Live data during a pilot dramatically accelerates development team progress.

Parallel Phase (12 Months)

Stakeholder activities during the parallel year:

• SEA — Running data collections with 20–30% of LEAs; benchmarking new against current system outcomes
• LEAs — 20–30% of LEAs actively submitting data; all LEAs attending trainings and taking local readiness actions
• Vendors — Working to support the final data specifications
• ESAs (Data Hub) — Launching initial data services; collecting initial revenue from LEAs; developing new data services

SEA goals: (1) Run parallel collections with 20–30% of LEAs to validate at scale, (2) Prepare dependent systems for production, (3) Update data specifications for the production year, (4) Invest in statewide LEA readiness.

Production Phase (Ongoing)

Stakeholder activities in production:

• SEA — Turn off the legacy system; establish an annual cadence for data specification updates; expand scope of modernized data collections
• LEAs — Allocate staff time freed up by reduced reporting burden to other valuable data-related tasks
• Vendors — Continue working with the state on the annual cadence of specification updates
• ESAs (Data Hub) — Expand scope of services, moving from operational services toward instructional support services

Implementation Best Practices

Technical Task Assignment

Recommendations for "Who does what?":

Task	MSP	SEA
Handle all Ed-Fi technology components: ODS, administrative tooling, hosting, config, extensions, performance testing, etc.	MSPs have specialized expertise and stay current with the Ed-Fi technical roadmap	—
Determine the scope of the data specifications and initial targets	—	Requires a detailed understanding of outcomes and interacting with other teams at your organization. Best practice
Mapping your data needs into Ed-Fi data specifications	MSPs understand Ed-Fi details and stay current with Ed-Fi Data Standard updates	—
Publish and maintain an SDK for vendors	MSPs are familiar with the process and tooling	—
Design and development of LEA administrative interfaces	Options to consider: MSPs have development teams and experience in this area…	Options to consider: …your organization likely does as well, and has been maintaining this critical UX.
ETL/ELT to data warehouse	Options to consider: MSPs often understand the latest tools and techniques available for data pipelines…	Options to consider: …you may want consistency with how pipelines to the DW currently operate across your organization.

Vendor Communication

Lead time best practices from field work:

Milestone	Lead Time
Inform vendors of decision to use Ed-Fi and share a public project timeline	6 months before pilot begins
Share initial data specifications	3 months before pilot go-live
Publish data specifications for the parallel year	6 months before parallel go-live
All future specification updates	6 months before go-live

Six Keys to Vendor Readiness:

1. Provide a clear point of contact (person/email) for all SEA–vendor communications
2. Create weekly one-hour calls open to the vendor community for project updates and Q&A
3. Provide vendors public API sandboxes and other critical resources needed to build integrations
4. Create a public view of vendor readiness and progress during the pilot and parallel year
5. Provide vendors the Ed-Fi Alliance guidance on building API support and common error codes
6. Involve vendors in data specifications review before the specs go live — vendors will have feedback that improves data quality and reduces burden on both sides

See Best Practices for Coordinating with Technology Providers.

LEA Communication

Four Keys to LEA Readiness:

1. Enlist organizations or groups that currently support state reporting or SIS operations (ESAs, SIS user groups, hand-picked districts)
2. Consolidate all Ed-Fi state reporting documentation into a single, easy-to-navigate website including links to vendor "how to" information
3. With LEA permission, provide access to API errors and performance data to allow LEAs to participate in the continuous improvement process
4. Publish guidance on API error codes and messages (same guidance as published for vendors)

See LEA Support - Turning on the LEA Data and Avoiding the "Error Flood".

State Data Portal

Allowing LEAs to see the data they publish to the state reduces support burden. SEAs should publish data back to LEAs via a data portal.

Critical portal components:

• Data Received — summary of data received, including counts for key areas (attendance, enrollment, other state-specified metrics)
• Data Usage — how the data will be used by the state: what are the impacts on funding or compliance?
• Last Update — when the data was last updated so LEAs know if their most recent changes were received

See Recommended SEA Process Changes for API-based Data Collection.