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Query Welcome to Demand-Driven Open Data for the
U.S. Department of Health and Human Services (HHS)

What's DDOD

Demand-Driven Open Data (DDOD) guides Open Data initiatives by giving external users a way to ask for the data they need

Demand-Driven Open Data (DDOD) is a framework of tools and methodologies to provide a systematic, ongoing and transparent mechanism for you to tell public data owners what's most valuable.

All work is entered, prioritized, implemented, and validated in the form of "use cases". This approach allows for all projects to have a known value even before work begins. It is the Lean Startup approach to open data initiatives.

New Requests

If you have a new use case, go to DDOD Github Issues and click "New Issue". Github issues are used for entering new requests and hosting discussion between data owners and users that's visible to the public. These "issues" go through all of the predefined stages of the DDOD process. They are linked to related wiki entries, which have specifications and solutions.

Enter a new Use Case

Use Cases

The wiki knowledge base contains detailed descriptions and specifications for each use case. Ultimately, solutions -- both short-term workarounds and long-term implementations -- get entered here as well.

Before entering a new request, start by browsing the existing Use Cases or use the Search box in the upper right.

View existing Use Cases

How DDOD Works

Ready to get started? This document is an introduction to DDOD intended for Data Users. That could include anyone in industry, academia, nonprofits or even other government orgs who could benefit from DDOD.

Combined Workflow and Milestones

Here's how the pieces come together.

Progress on Use Cases

The "Value Delivered" is a category assigned to a use case that describes the type of artifacts and solutions that have been delivered to benefit the user community. A use case typically has multiple value categories associated with it, since it benefits users in different ways. Even the documentation of the use case itself has benefit, as it describes a specific situation for which requested datasets can be used.

Here's the tally of the value delivered so far in DDOD's portfolio of use cases