[Rdap] Federal Data Strategy

Thu Jul 12 13:50:10 EDT 2018

Dear RDAPers & Datacurians,

Apologies for the duplicate email:

Recently a call came out to provide feedback on the strategy that the federal government should use to develop a coordinated approach to federal data use and management.  A draft strategy currently consists of 10 principles covering four major areas.

And as RDAP is transitioning to a stand-alone professional society, the executive board is interested in making a collective response to the call for feedback.  The deadline for feedback is July 27, 2018, so we will need to move fast. If you are interested to join this effort, we will hold two meetings on Monday July 16th for discussion and to gather feedback and decide on how to proceed in a timely fashion to meet the July 27th deadline.  If you wish to contribute to the collective feedback but cannot attend either meeting, please email me.  And individuals can also give feedback at the same link-   https://strategy.data.gov/feedback/.

July 16th - 10:00 am EST
July 16th - 2:00 pm EST
Link for meeting: https://ucincinnati.webex.com/join/koshofae

Use cases to address problems or solutions cover these four areas:

1)      Enterprise Data Governance

2)      Access, Use and Augmentation

3)      Decision Making and Accountability

4)      Commercialization, Innovation and Public Use

Draft Federal Data Strategy Principles requiring feedback are:

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.

Cheers,
Amy Koshoffer
Science Informationist
ORCID 0000-0001-8130-103X<http://orcid.org/0000-0001-8130-103X>
My pronouns are she, hers, her

Tel:         (513) 556-1310
Email:    amy.koshoffer at uc.edu<mailto:amy.koshoffer at uc.edu>
Researcher Services<http://libraries.uc.edu/digital-scholarship/data-services.html> (Data, GIS, Informatics)

Science and Engineering Libraries
University of Cincinnati Libraries
Office: 240C Braunstein Hall
2825 Campus Way
PO Box 210153
Cincinnati, OH 45221-0153

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.kunverj.com/pipermail/rdap/attachments/20180712/e19f0e11/attachment.html>