Education data standards provide shared definitions, structures, formats, and exchange methods that help systems interpret and move information consistently. In a K–12 environment, standards can reduce custom integrations, improve data quality, support portability, and make it easier to replace or connect products.
No single standard covers the entire K–12 ecosystem. A district may use one standard for rostering, another for launching instructional tools, another for assessment content, and a broader data model for operational or longitudinal data. Always identify the specific use case before selecting a standard.
What Counts as a Data Standard?
The term standard is used broadly. For planning and procurement, it helps to distinguish among several layers:
| Layer | What It Defines | Examples |
|---|---|---|
| Vocabulary and semantics | Common names, definitions, option sets, and relationships | CEDS; Ed-Fi UDM; CTDL |
| Data model and serialization | Entities, fields, relationships, schemas, and message formats | Ed-Fi Data Standard; SIF Data Model; OneRoster |
| Exchange protocol or API | How applications request, send, secure, and synchronize data | Ed-Fi APIs; OneRoster REST; LTI; SIF Infrastructure |
| Content or assessment packaging | How learning resources, courses, questions, and tests move between platforms | Common Cartridge; QTI |
| Events and activity statements | How systems describe learning interactions and activity | Caliper Analytics; xAPI |
| Credentials and learner records | How achievements, credentials, and longitudinal learner records are represented and verified | Open Badges; CLR; PESC; CTDL |
Major K–12 Standards and Specifications
1EdTech Standards
1EdTech Consortium, formerly IMS Global Learning Consortium, maintains a family of education technology interoperability standards:
- OneRoster: Exchanges users, organizations, courses, classes, enrollments, resources, and results through CSV files or REST services.
- Learning Tools Interoperability (LTI): Securely launches external learning tools from platforms such as an LMS. LTI Advantage adds services including assignment and grade exchange, names and roles, and deep linking.
- Common Cartridge and Thin Common Cartridge: Package or reference digital course materials so they can move among compatible learning platforms.
- Question and Test Interoperability (QTI): Represents assessment items, tests, interactions, scoring, and results.
- Competencies and Academic Standards Exchange (CASE): Exchanges learning standards, competencies, rubrics, and relationships using stable identifiers.
- Caliper Analytics: Defines events and metric profiles for describing learning activity across platforms.
- Open Badges and Comprehensive Learner Record (CLR): Represent portable, verifiable achievements and collections of learner credentials.
Ed-Fi Data Standard and APIs
The Ed-Fi Data Standard is an open K–12 model for operational and analytical information, including students, staff, enrollment, attendance, courses, assessments, programs, and academic records.
The Ed-Fi Unifying Data Model (UDM) is the logical model underlying the standard; it is not a separate competing standard. Ed-Fi API specifications and implementations provide ways to exchange and store data based on that model.
Versions matter. As of this review, Ed-Fi Data Standard 6.1 is the latest 6.x release, while several earlier active versions remain relevant to deployed technology. Confirm compatibility among the Data Standard, API specification, and platform version.
Common Education Data Standards (CEDS)
CEDS is a U.S. Department of Education initiative providing common education data definitions, option sets, domains, entities, relationships, and models spanning early learning through workforce.
CEDS resources include the data model, ontology, Integrated Data Store, longitudinal data warehouse models, cloud-oriented Parquet models, and Align tools for mapping local data dictionaries to CEDS. CEDS can support shared meaning even when systems use different exchange protocols.
SIF and Access 4 Learning
The Access 4 Learning (A4L) Community, formerly the SIF Association, maintains the Schools Interoperability Framework (SIF). A4L and SIF should not be listed as unrelated standards.
SIF includes an infrastructure specification describing secure data exchange and locale-specific data models describing education objects and payloads. The North American Unity Data Model includes broad K–12 administrative and instructional domains. Check the locale and version required by participating systems.
Experience API (xAPI)
xAPI, originally known as the Tin Can API, represents learning activity as statements that can be stored in a Learning Record Store. It is useful when learning occurs across simulations, mobile applications, online content, workplace activities, or other environments not limited to an LMS.
xAPI and 1EdTech Caliper Analytics overlap in their broad interest in learning activity data, but they use different models, profiles, and ecosystems. A product’s statement that it “supports analytics” does not establish conformance to either specification.
PESC Standards
The Postsecondary Electronic Standards Council (PESC) develops standards for exchanging education records and related information, including electronic transcripts, admissions, test scores, and financial aid data.
PESC is most prominent in postsecondary and cross-sector transitions, but it matters to K–12 organizations that send secondary-school records to colleges, universities, state agencies, or credential services.
Credential Transparency Description Language
CTDL, maintained by Credential Engine, provides a common language for describing credentials, learning opportunities, assessments, competencies, pathways, organizations, and related quality information.
CTDL primarily describes credentials and the ecosystem around them; it is not a substitute for a district’s operational student-data exchange standard.
W3C Verifiable Credentials
The W3C Verifiable Credentials Data Model provides a general web standard for cryptographically verifiable claims. It is not education-specific, but it underpins current credential formats, including 1EdTech Open Badges 3.0 and CLR 2.0.
Related Resources That Are Not Interoperability Standards
| Resource | What It Is | How It Relates |
|---|---|---|
| Project Unicorn | An interoperability advocacy and implementation initiative | Provides rubrics, procurement language, certification activities, and implementation resources. |
| National Forum on Education Statistics | A cooperative education-data body | Develops guidance and best practices for collecting, managing, protecting, and using education data. |
| Common Core of Data (CCD) | An NCES collection of public elementary and secondary education data | Uses defined reporting structures and codes, but is a federal statistical data collection—not a general application-integration standard. |
| Statewide Longitudinal Data Systems Grant Program | A federal grant program | Supports longitudinal data system development; it does not prescribe a single interoperability standard. |
| GAISE | A statistics-education framework | Guides instruction and assessment in statistics; it is not an education data exchange specification. |
Standards Do Not Automatically Create Interoperability
- Version alignment matters: Two products may name the same standard but implement incompatible versions or optional profiles.
- Certification matters: Ask whether the precise product and version has passed the standards body’s conformance or certification process.
- Profiles and extensions matter: Local fields and vendor extensions can be useful, but excessive customization can recreate vendor lock-in.
- Identifiers matter: Matching students, staff, organizations, courses, and learning standards requires documented identifier governance.
- Semantics matter: Identical field names do not guarantee identical definitions, calculation rules, or code sets.
- Operations matter: Districts need ownership, monitoring, error handling, reconciliation, change management, and support procedures.
- Privacy and security remain essential: Technical compatibility does not authorize disclosure. Apply FERPA, applicable state law, contracts, access controls, data minimization, retention rules, and security requirements.
Questions for Procurement and Implementation
- Which specific business use case will the integration support?
- Which standard, version, profile, transport method, and required fields does the product implement?
- Is the product independently certified, and does certification cover this exact product version?
- Which direction does data move, how frequently, and with what latency?
- Which party is the authoritative source for each data element?
- How are additions, corrections, deletions, duplicates, and failed transactions handled?
- Which identifiers and code sets are required, and who governs them?
- Which optional features, extensions, or proprietary transformations are used?
- How are authorization, encryption, audit logs, retention, and incident response handled?
- Can the district export its data in a documented, nonproprietary format when the contract ends?
Procurement tip: Avoid accepting “supports standards” as a complete answer. Require vendors to name the specification, version, certified product, supported endpoints or files, optional profiles, extensions, limitations, testing process, and exit-data format in the contract.
Last reviewed and updated July 31, 2026. Standards, versions, certifications, organizations, and URLs change over time. Confirm current specifications and product conformance before procurement or implementation.