Scaling Demand-Driven Open Data (DDOD)

chihacknight / breakout-groups

Breakout groups that meet at Chi Hack Night every Tuesday in Chicago

https://chihacknight.org/breakouts.html

96 stars 24 forks source link

Scaling Demand-Driven Open Data (DDOD) #35

Closed dportnoy closed 8 years ago

dportnoy commented 8 years ago

About the group

See 218th Chi Hack Night: Demand-Driven Open Data (DDOD)

Problem:

How can we contribute to maximizing the public good and economic value of open data?
How can we scale the DDOD beyond HHS?
How can we mitigate risk to open data between presidential administrations?
Group leaders

David Portnoy, former EIR at HHS

Who we're looking for

Those with experience working with open data. Interested in refining the product roadmap for DDODx. Can describe the problems they’ve encountered. Understanding of data management, including MDM, federation, versioning.

Tools

Relevant Links

ddod.healthdata.gov

Where we meet

dportnoy commented 8 years ago

Thank you to all Chi Hack Night attendees who provided their input. It’s really appreciated!

Stay tuned for more. In the meantime, for those who asked for additional links...

ChiHackNight: https://chihacknight.org/events/2016/08/16/demand-driven-open-data.html
Video: https://youtu.be/v9PHWBLQFRE
Intro to DDOD for Data Owners: http://www.slideshare.net/DavidPortnoy/intro-to-ddod-for-data-owners
HHS project website: http://ddod.healthdata.gov
DDOD project description: http://www.hhs.gov/idealab/projects-item/demand-driven-open-data/
White House Open Data Roundtable: http://www.slideshare.net/DavidPortnoy/impact-of-ddod-on-data-quality-white-house-2016
White House Open Data Innovation Summit: https://www.data.gov/event/white-house-open-data-innovation-summit/
MIT Chief Data Officer Conference: http://www.mitcdoiq.org/event/2016-agenda/

derekeder commented 8 years ago

Closing for now since it's been a few weeks

dportnoy commented 7 years ago

Looking for hacktivists passionate about open data, analytics and dataviz! We need to do massive analytics and visualization on the federal government's metadata. Lot's of gems to discover. This work will become part of the public body of knowledge for metrics on data quality, discoverability and usability.