The Data Coalition is a community of the @Data_Foundation, advocating for open data and evidence-informed policy.
Washington, DC
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Most execs think they understand data standards.
Most can't actually describe what a good one looks like.
Here's the difference — and why regulators are now smart enough to tell which firms are faking it 🧵
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This isn't only a compliance story either.
Bad reference data = bad training data = Gen AI models that hallucinate.
Standards aren't bureaucracy. They're the foundation both regulators AND your AI systems are relying on.
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Full breakdown from Data Foundation's Tom Dunlap 👇
buff.ly/xE8lvNi
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🚨 Speaker announcement: govDATAx 2026 is bringing together the leaders shaping the future of public data. Confirmed so far:
🔹 Ken Dieffenbach, @COVID_Oversight
🔹 Deidre Harrison, @McKinsey
🔹 Renata Miskell, @USTreasury
🔹 Matt Graviss, Ph.D., @Atlassian
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🎟️ Register now to network with federal decision-makers and secure your seat for govDATAx 2026: buff.ly/y2pjfFk 3/4
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🌟 Tickets are free for Data Coalition members! Please refer to Data Coalition emails (including our weekly newsletter) for the registration code. If you are not subscribed to Data Coalition emails, please create an account in our member portal: buff.ly/9Dovbf1 4/4
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Federal data is critical for business, but only if we can find it. In a new blog, we explain why the new DCAT-US v3.0 standard is a game-changer for govt. contractors, tech providers, and AI. Read why this metadata shift is a major business opportunity: buff.ly/pfTKO7b
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🗓️ Save the date!
#govDATAx 2026 is coming to Washington, DC on Sept. 15.
Join leaders across government, industry, academia, and nonprofits to discuss AI, public data, digital transformation, and the future of evidence-based decision-making.
Register: eventbrite.com/e/govdatax-20…
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⏰ FINAL HOURS: 2026 Datum Awards nominations close TONIGHT at 11:59pm ET.
Recognize the leaders transforming data & evidence use in government.
Submit now 👇
docs.google.com/forms/d/e/1F…
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New from the Data Foundation: a resource hub on DAO 216-26 — the Commerce Dept order changing how the Census Bureau & BEA protect confidentiality in published statistics. Plain-language, neutral resources to help you follow a complex debate. 🧵
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📄 Fact sheet: what the order requires, why differential privacy was adopted for the 2020 Census in the first place, and how statisticians, data users & Congress have reacted.
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🔍 Explainer: is this a policy decision (how much risk is acceptable) or a statistical one (how to execute it)? A framework for telling the two apart — and applying it to DAO 216-26.
datafoundation.org/pages/Und…
Data Foundation Understanding DAO 216-26
Data Foundation Understanding DAO 216-26
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🚨 Happening TOMORROW! 7/15 @ 1pm ET: How can standardized data support transparency & responsible automation in private markets? Join policymakers & practitioners for the answer 📈 us02web.zoom.us/webinar/regi… #DataFoundation #PrivateMarkets
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What if finding answers across thousands of pages of federal evidence documents took seconds instead of days?
📢 The Data Foundation has launched Evi, a new AI assistant for the Evidence Act Hub: datafoundation.org/pages/ask…
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Every answer is grounded in the Hub's documents and includes inline citations, so you can verify every response and dive deeper into the original source.
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Whether you're comparing agency priorities, exploring Learning Agendas, or tracking how evidence-building has evolved across government, Evi makes the process faster and more accessible.
Try it at datafoundation.org/pages/ask….
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