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  • Home
  • Join DSU
  • About Us
    • About Us
    • Contact Us
  • EDU
  • CEDS
    • CEDS
    • A4L Unity CEDS Project
    • Sustainability Tiger Team
    • CEDS - SEDM
  • Glossary
  • Projects
  • Resources
  • Events
  • FAQ

Frequently Asked Questions

1. Ontological Modeling (including Person, Organizations and Events)

This is a project to support the work to create core data objects needed by most education applications and services  in almost all horizontals, and verticals. This work will be focused and in partnership with the CEDS and CTDL work and include cross-standard  cooperation with all the DSU standards.

2. Special Education Data Management (SEDM) and IDEA Compliance

This is a cross-standard  (CEDS, A4L, and ed-fi) effort to create a universal special education data model that can be used  in any PK20W+ environment 

3. P20W+ Learning and Employment Record (LER) Management

This is a project to harmonize all the efforts to create and define the LER- including the work being done in IEEE, HROS, T3, ADL, CEDS, 1EdTech, PESC, W3C, the INFUSE project. and many vendors in the wallet, credential, and employment space.

4. Standards Library

This is a web site and reference application that contains linked data to all the standards people would need for the ecosystem regardless  of who publishes them. It would provide smart navigation, best practices and links to useful reference implementations all under one roof. 

5. Working with the Open Source Community (OSC) to create a sustainable home for CEDS

This is about setting up all the resources needed to sustain CEDS being  available and either primarily housed or duplicated in an open location in case the ceds.ed.gov site goes down.  It would also include working with the OSC to provide a frame for the processes and existence of the  management of the CEDS  resources.  

6. Sustainability and Ongoing Modernization

One of the major thrusts of the DSU Initiative is to provide a platform and sets of agreements, outreach and learning that will maintain the data ecosystem in a sustainable way so that it can be managed with lower budgets and less work per vendor, organization, agency.   

7. Structuring for Data Analytics and AI

This is NOT about setting standards for AI - much bigger players are working on that. Rather this is about standardizing the way data needs to be stored, presented, and accessed such that it is optimized to support the  use of AI and analytics  and to standardize the outputs of the AI so it can be used to positively impact learning for the individual and make administration of the education data  cheaper and easier for the organizations accountable for that.

8. Mentoring, Training, and Outreach

This is a critical function of communicating and  making sure that leadership - both new leadership and  leadership that hasn't yet participated knows what is available and is exposed to the best practices  and resources that are available.

9. Data Governance Modernization

A key aspect of the maintenance, sustainability and usability of the education data ecosystem is data and information governance.  Issues of privacy, access, ownership, longevity, and accuracy of data are critical and managing the ecosystem so the learner controls and owns their data and  the systems have the minimum they need to function is paramount to support self-sovereignty, learner mobility, and data portability.

10. Reference Implementations and Shared Code

This is about integrating links, documentation and how to leverage reference implementations that are in process or completed in the ecosystem.  It will be integrated into the Standard's Library, and may include shared resource plans for multiple actors to utilize the same reference implementations. 


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