I’m adding a working document to cover the topic of open data discoverability and usability. It appears as though this is an area that is in desperate need for attention. I have come across it tangentially throughout much of my work. It deserves to be aggregated and curated. There are also some lingering opportunities to make practical use of semantic web concepts. There are vast repositories of data assets throughout government, academia and industry that could be better leveraged. So lets make it happen.
The Demand-Driven Open Data (DDOD) program has recently been featured on DigitalGov. (See DigitalGov article.)
It should be added, that a major project in the works is the merging of DDOD tools and methodologies into the larger HealthData.gov program. The effort seeks to maximize the value of existing data assets from across HHS agencies (CMS, FDA, CDC, NIH, etc.). Already planned are new features to enhance data discoverability and usability.
We’re also looking into how to improve the growing knowledge base of DDOD use cases by leveraging semantic web and linked open data (LOD) concepts. A couple years ago, HHS organized the Health Data Platform Metadata Challenge – Health 2.0. The findings from this exercise could be leveraged for both DDOD and HealthData.gov.