U.S. Public Sector Forum

Background, Purpose, and Mission

Background

The EDM Association is a neutral, non-profit industry data management and analytics trade association. The Council's mission is to serve as global advocates for elevating data management and analytics through best practices, standards, training, education, and research.

Purpose

To provide a neutral forum for industry and public sector interfacing that promotes best practices in leveraging data for decision-making and operations.

Mission

Foster opportunities for networking, strengthening relationships, and collaboration among public sector organizations, industry partners, and the global data management community.

Upcoming Forum Events

Register and Join the Discussion

Wednesday, July 15, 2026 · 11:00am to 12:00pm EDT · Virtual

Public Sector Discussion: The Trusted Data Requirements for Today's Federal Mandates

Join an open discussion hosted by the US Public Sector Forum, where we will unpack the data challenges facing government agencies and the organizations that serve them. From implementing the FDTA to addressing June's AI Executive Order and OMB M-25-06 on zero trust data architecture and AI deployment governance, these mandates require the same foundation: a governed, trusted, machine-readable data environment. The question is how it is best achieved.

This session is interactive and conversational. Participants are invited to ask questions and share their own perspectives. It is aimed in particular at federal government data leaders, CDOs, practitioners, and their solution partners. All are welcome.

What we will discuss

  • • How are government agencies activating these initiatives today, and what are the lessons learned so far?
  • • Are government employees and contractors educated in the requirements and how to fulfill them?
  • • What tools and technology are critical to accelerating compliance?
  • • Is DCAM being adopted effectively to accelerate data management best practices in support of these requirements?
  • • What is the role of the LEI and ontologies such as FIBO in meeting these requirements?

Discussion Leaders

John Bottega
President, EDM Association. Former Chief Data Officer, US Department of the Treasury.		 David Blaszkowsky
Product Director for FIBO, EDM Association. Formerly US Securities and Exchange Commission and Department of the Treasury.
Peter Warms
Head of Business Development, North America, GLEIF.		 Alex Izotic
Manager, Data Excellence and Partner Programs, EDM Association.

Seats are open. Registration is free.

Bring a question. The value of this forum comes from the people in the room, and the discussion is shaped by what attendees raise on the day.

Resources

Featured Resource

New · July 2026 · PDF

Meeting the Financial Data Transparency Act

How the EDM Association helps agencies achieve mission success

The final FDTA joint rule was published June 25, 2026 and takes effect October 1, 2026. It adopts the Legal Entity Identifier and other open identifiers, and sets a principles-based standard requiring searchable, machine-readable data with metadata in taxonomy or ontology models that define semantic meaning. This one-pager maps what the rule asks for to the resources our members already use.

Governing the data, giving it meaning, standardizing the report, and identifying entities and instruments are four different problems. No single standard solves them. The EDM Association convenes the standards that do.

What is inside
DCAM v3 and CDMC
Data & Analytics		 A governed, trusted data foundation, and 14 key controls for sensitive data in cloud and AI, now extended with AI controls for ethics, performance, and risk.
FIBO and the Commons Ontology Library
OMG Standards		 Shared, machine-readable meaning for financial entities and instruments, on a reusable cross-domain foundation that extends consistent meaning beyond finance to any agency domain.
SBRM
OMG Standards		 A logical model of a report, so a filing in any syntax such as XBRL, JSON, or RDF can be machine-validated and its fields linked to FIBO.
LEI
Open Identifiers		 Common, open, non-proprietary identification of entities, maintained by GLEIF and mapped in FIBO.
FinTwins
Digital Twin		 Modeling and simulation of financial processes, risk, and settlement, readying public sector data for a simulation-ready, AI-forward environment.
Download the One-Pager

For discussion, not legal advice.

Meeting Recaps

U.S. Public Sector Forum Meeting Recap - June 2025

 
Date: Thursday, June 5, 2025  
Topic: Enabling Data-Sharing in State Government
Presenter: Kaitlyn Christian, Chief Engagement Officer, Indiana Management Performance Hub (MPH)
 
The June 2025 Forum featured a compelling Knowledge Series presentation from the Indiana Management Performance Hub (MPH), highlighting how the State of Indiana has built a robust legal and technical framework to support data-driven decision-making across agencies, universities, and community organizations.
 
Key Themes
- Evolution of MPH’s data-sharing model since its inception in 2014
- Legal and governance structures enabling cross-agency collaboration
- Real-world examples of data use in public policy and service delivery
 
Interactive Forum Discussion
Following the presentation, attendees engaged in a dynamic discussion exploring challenges and opportunities in public sector data-sharing. Participants shared insights on applying similar models within their own agencies.
 
Agenda Highlights
- Welcome & Forum Updates: EDM Council leadership shared recent initiatives and upcoming engagement opportunities.
- Knowledge Series Presentation: Kaitlyn Christian detailed MPH’s mission, statutory authority, and collaborative successes.
- Q&A and Community Discussion: Open dialogue on data-sharing strategies and lessons learned.
- Closing Remarks: Summary of key takeaways and preview of the next Forum meeting.

February 2025 EDM Council U.S. Public Sector Forum Meeting Recap

The EDM Council Public Sector Forum meeting on February 26th discussed the creation, development, and use of the GAO Fraud Ontology. The GAO Fraud Ontology was released as part of GAO’s Antifraud Resource and is a conceptual framework designed to provide a common language for defining fraud terms across the federal government.

The ontology was developed with EDM Council’s Data Innovation Lab after initial work by GAO to address the extent of fraud in the government showed that there was no consensus on the terminology used to describe it. The presentation highlighted the structures of ontologies and showed examples of how classes, subclasses, individuals, and properties connect in the GAO Fraud Ontology. The presentation also guided using the ontology in the application Protégé and through SPARQL querying. Included are more resources for those interested in learning more about ontologies.

– Learn more about the GAO Anti-Fraud Resource: https://antifraud.gaoinnovations.gov/
– Discover the GAO Anti-Fraud Ontology: https://antifraud.gaoinnovations.gov/howfraudworks

View the highlights and recording.

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