Demand-Driven Open Data (DDOD) is a component HHS’s Health Data Initiative (HDI) represented publicly by HealthData.gov. DDOD is a framework of tools and methods to provide a systematic, ongoing and transparent mechanism for industry and academia to tell HHS more about their data needs. The DDOD project description has recently been updated on the HHS IDEA Lab website: http://www.hhs.gov/idealab/projects-item/demand-driven-open-data/. The writeup includes the problem description, background and history, the DDOD solution and process, and future plans.
In November 2015, the project has undergone an extensive evaluation of the activities and accomplishments from the prior year. Based on the observations, plans are in place to deploy DDOD 2.0 in 2016. On the process side, the new version will have clearly defined SOPs (standard operating procedures), better instructions for data requesters and data program owners, and up-front validation of use cases. On the technology side, DDOD will integrate with the current HealthData.gov platform, with the goals of optimizing data discoverability and usability. It will also include dashboards, data quality analytics, and automated validation of use case content. These features help guide the operations of DODD and HealthData.gov workflow.