Demand-Driven Open Data for HHS:About

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Team

David Portnoy
Entrepreneur-in-Residence at HHS Idea Lab and founder of DDOD. David comes from industry with expertise in big data and building health technology products.
Damon Davis
Leads the Health Data Initiative and heads up HealthData.gov, the HHS-wide open data platform. He's working on the integration of DDOD into HealthData.gov.
Betsy Hsu
Detailee from NIH/NCI (National Cancer Institute), working as a Data Evangelist for DDOD. She's working on DDOD processes, tools, and outreach, as well as moving individual DDOD use cases forward.
David Hale
Affiliate DDOD contributor, with expertise in NLM (National Library of Medicine) and FDA CDER (Center for Drug Evaluation and Research). David is also the creator of PillBox.
Lorraine Doo
Affiliate DDOD contributor, with many years of experience throughout CMS (Centers for Medicare and Medicaid) and expertise in data standards and interoperability.

History

The Demand-Driven Open Data (DDOD) initiative was launched by David Portnoy as the Entrepreneur-in-Residence with the HHS Idea Lab, a program in the Office of Secretary of Health. It reimagines the way HHS agencies (including CMS, FDA, NIH, CDC, NCHS, ONC, AHRQ, ACF, and others) deliver value with open data, in the process maximizing economic and public health impact. At its core, DDOD is a framework of tools and methods to provide a systematic, ongoing and transparent mechanism for industry and researchers to tell HHS what data they need. With DDOD, all open data efforts are managed in terms of "use cases", enabling better allocation of limited resources and ensuring that each release has real and immediate value. It’s the Lean Startup approach to open data.


The history of DDOD is described in a blog post: http://www.hhs.gov/idealab/2015/03/16/identifying-harnessing-demand-drive-open-data/.

Ddod connects the dots.jpg


In the news

HHS on a mission to liberate health data

6/5/2015, GCN
http://gcn.com/articles/2015/06/05/hhs-data-liberation.aspx

GCN headline.png

"HHS found that its data owners were releasing datasets that were easy to generate and least risky to release, without much regard to what data consumers could really use. The DDOD framework lets HHS prioritize data releases based on the data’s value because, as every request is considered a use case.

It lets users -- be they researchers, nonprofits or local governments -- request data in a systematic, ongoing and transparent way and ensures there will be data consumers for information that’s released, providing immediate, quantifiable value to both the consumer and HHS."