Demand-Driven Open Data

	View the main DDOD site here: http://ddod.us

Demand-Driven Open Data (DDOD) is a framework of tools and methodologies that guides the execution of open data initiatives. It provides a systematic, ongoing and transparent mechanism for you to tell public data owners what's most valuable.

Use Case Management & Discussion

Use cases get managed and discussed in as Github issues: github.com/demand-driven-open-data/ddod-intake/issues

• Labels used for management of Data Requests can be found at http://ddod.us/wiki/DDOD_Workflow. The categories of labels are:
  • 1. States
  • 2. Milestones
  • 3. Value Delivered

Specifications & Solutions

Specifications and solutions for each use case are described in the wiki: http://ddod.us/wiki/Use_Cases

• (This wiki replaces https://github.com/demand-driven-open-data/ddod-intake/wiki.)

Introduction, instructions, how it works

To learn about the DDOD project, see the site: http://ddod.us

• (This website replaces http://demand-driven-open-data.github.io.)

Note: DDOD was originally launched out of the IDEA Lab incubator at the U.S. Department of Health and Human Services in December 2014. The original website at http://ddod.healthdata.gov is not actively being supported. The content and subsequent updates have been moved to http://ddod.us to serve as a knowledge base and resource for organizations looking to better leverage open data resources.