Dear All,
I write to make you aware of the call for comments on the ongoing development of a Federal Data Strategy:
https://strategy.data.gov/strategy/. The current focus is on the principles (pasted below) and asking for best practices commenting is very easy on this website. They ask for practices by July 27.
Please weigh in to make sure the statistical perspective is well represented.
Sorry for cross-posting.
Steve
Draft Federal Data Strategy Principles
Stewardship
1. Exercise Responsibility: Practice effective data stewardship and governance by maintaining modern data security practices, protecting individual privacy, and maintaining promised confidentiality.
2. Uphold Ethics: Consider, monitor, and assess the implications of federal data practices for the public and provide sufficient checks and balances to protect and serve the public interest.
3. Promote Transparency: Articulate purposes for acquiring, using, and disseminating data and comprehensively document processes and products to inform data users.
Quality
4. Integrate Intentionality: Create, acquire, use, and disseminate data deliberately and thoughtfully, considering quality, consistency, privacy, value, reuse, and interoperability from the start.
5. Ensure Relevance: Validate that data are high quality, useful, understandable, timely, and needed.
6. Create Value: Coordinate and prioritize data needs and uses, harness data from multiple sources, and acquire new data only when necessary.
Continuous Improvement
7. Demonstrate Responsiveness: Improve data sharing and access with ongoing input from users and other stakeholders.
8. Prioritize Best Practices: Model, assess, and continuously update best practices throughout the data lifecycle.
9. Invest in Learning: Promote a culture of continuous and collaborative learning with data and about data .
10. Practice Accountability: Audit data practices, document and learn from results, and make changes as needed based on findings.
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Steve Pierson
Director of Science Policy
American Statistical Association
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