Past Meetup

Data Science, Data Infrastructure, & Data Publications for the HHS IDEA Lab

This Meetup is past

73 people went

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• 6:30 p.m. Welcome and Introduction – Report on Recent HHS IDEA Lab Demo Meeting with Bryan Sivak (invited) and Damon Davis (invited) and HHS Data Science Data Publication Tutorial Slides (http://semanticommunity.info/@api/deki/files/31431/BrandNiemann12012014.pptx) Background (http://semanticommunity.info/Data_Science/Data_Science_for_the_HHS_IDEA_LAB#Story) Data Science for Tackling the Challenges of Big Data (http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data) (MIT Online Course)

• 7:00-7:15 p.m. Joe Pringle, Director of Health, Socrata Slides (http://semanticommunity.info/@api/deki/files/31788/Socrata12012014.pptx) and Demo Links:

https://www.healthcare.gov/health-an...s-and-issuers/ (https://www.healthcare.gov/health-and-dental-plan-datasets-for-researchers-and-issuers/)

http://www.healthpocket.com/

https://data.cityofchicago.org/

https://github.com/Chicago

http://www.chicagohealthatlas.org/

• 7:15 p.m. Brief Member Introductions and Refreshment Break

• 7:30 p.m.​ Alex Sherman and Kartik Verma , Deloitte Consulting for HHS NIH and MHS, Slides (http://semanticommunity.info/@api/deki/files/31625/AlexSherman12012014.pptx) and Demo Link: http://semoss.org/

• GINAS: Advancing FDA's Ingredient Information System, Noel Southall, National Institutes of Health (also FDA involved) (invited)

• FDA has articulated its vision for a next-generation data system that serves as the central clearing house for ingredients in medical products. Meanwhile, the National Center for Advancing Translational Science at NIH has created its own substance tracking system to facilitate research efforts. Working with the FDA, this NIH team will test their software as a solution in the FDA environment.

• Fostering Scientific Insight through Data Federation, Brock Smith, National Institutes of Health (invited)

• This cross-departmental team consisting of individuals representing NIH, FDA and CDC recognizes a problem affecting scientists and their research goals. Because of the breadth and variety of resources, NIH researchers have difficulty synthesizing existing public data with their internally produced research findings and thus can easily lose valuable scientific insight. The team is testing the value of a web platform called SEMOSS that is designed to aggregate existing, fragmented health data while leveraging data analytic and visualization tools to enable scientists’ intuitive analysis and synthesis in their research.

• 8:30 p.m. Open Discussion

• 8:45 p.m. Networking

• 9:00 p.m. Depart

Note: We will be doing data science on the data sets being used in the NIH/FDA GINAS (http://tripod.nih.gov/ginas) and NIH/FDA SEMOSS Data Federation and Analytics (http://blog.semoss.org/2013/11/fda-analytics.html) in preparation for this December 1st meetup and all are welcome to participate.