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Data Science at NIH
with Emphasis on Health Policy and Management
October 6, 20145
Philip E. Bourne PhD, FACMI
philip.bourne@nih.gov
Why All the Fuss?
We are at a Point of Deception …
 Evidence:
– Google car
– 3D printers
– Waze
– Robotics
– Sensors
From: The Second Machine Age: Work, Progress,
and Prosperity in a Time of Brilliant Technologies
by Erik Brynjolfsson & Andrew McAfee
Example - Photography
Digitization
Deception
Disruption
Demonetization
Dematerialization
Democratization
Time
Volume,Velocity,Variety
Digital camera invented by
Kodak but shelved
Megapixels & quality improve slowly;
Kodak slow to react
Film market collapses;
Kodak goes bankrupt
Phones replace
cameras
Instagram,
Flickr become the
value proposition
Digital media becomes bona fide
form of communication
We Are At a Point of Deception
The 6D Exponential Framework
Digitization of Basic &
Clinical Research & EHR’s
Deception
We Are Here
Disruption
Demonetization
Dematerialization
Democratization
Open science
Patient centered health care
Motivation: The Story of Meredith
http://fora.tv/2012/04/20/Congress_Unplugged_
Phil_Bourne
Stephen Friend
“And that’s why we’re here today. Because something
called precision medicine … gives us one of the greatest
opportunities for new medical breakthroughs that we
have ever seen.”
President Barack Obama
January 30, 2015
Precision Medicine Initiative
 National Research Cohort
– >1 million U.S. volunteers
– Numerous existing cohorts (many funded by NIH)
– New volunteers
 Participants will be centrally involved in design and
implementation of the cohort
 They will be able to share genomic data, lifestyle
information, biological samples – all linked to their
electronic health records
An Example of That Promise:
Comorbidity Network for 6.2M Danes
Over 14.9 Years
Jensen et al 2014 Nat Comm 5:4022
Office of Biomedical
Data Science
Mission Statement
To use data science to foster an
open digital ecosystem that will
accelerate efficient, cost-effective
biomedical research
to enhance health, lengthen life, and
reduce illness and disability
Goals expanded from recommendations in the June 2012 DIWG and
BRWWG reports.
The BD2K Program is Central
to the Mission
Planned – Black; Available- Green
Center of Excellence for Mobile
Sensor Data-to-Knowledge (MD2K)
Santosh Kumar, Ph.D.
Director, MD2K Center of Excellence
Professor & Moss Chair of Excellence in Computer Science
University of Memphis
https://datascience.nih.gov/bd2k/funded-programs/centers
MD2K Applications – CHF and Smoking
Building The Data Ecosystem
Community
Policy
• Sustainable
business
model
• Collaboration
• Training
Data Science Infrastructure
Building The Data Ecosystem
Community
Policy
• Sustainable
business
model
• Collaboration
• Training
Virtuous
Research
Cycle
Data Science Infrastructure
BD2K
Center
BD2K
Center
BD2K
Center
BD2K
Center
BD2K
Center
BD2K
Center
DDICC
Software
Standard
s
Infrastructure - The
Commons
Labs
Labs
Labs
Labs
Policies
 Data Sharing
– Genomic data sharing policy implemented
– Data sharing plans on all research awards 2016
– Data sharing plan enforcement
• Machine readable plan
• Repository requirements to include grant numbers
http://www.nih.gov/news/health/aug2014/od-27.htm
Policies
 Data Citation
– Goal: legitimize data as a form of scholarship
– Process:
• Machine readable standard for data citation (done)
• Endorsement of data citation for inclusion in NIH bib
sketch, grants, reports, etc.
• Example formats for human readable data citations
• Slowly work into NLM/NCBI workflow
 dbGaP in the cloud (done!)
NIHNIH……
Turning Discovery Into HealthTurning Discovery Into Health
philip.bourne@nih.gov

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Hpm100615

  • 1. Data Science at NIH with Emphasis on Health Policy and Management October 6, 20145 Philip E. Bourne PhD, FACMI philip.bourne@nih.gov
  • 2. Why All the Fuss?
  • 3. We are at a Point of Deception …  Evidence: – Google car – 3D printers – Waze – Robotics – Sensors From: The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson & Andrew McAfee
  • 4. Example - Photography Digitization Deception Disruption Demonetization Dematerialization Democratization Time Volume,Velocity,Variety Digital camera invented by Kodak but shelved Megapixels & quality improve slowly; Kodak slow to react Film market collapses; Kodak goes bankrupt Phones replace cameras Instagram, Flickr become the value proposition Digital media becomes bona fide form of communication
  • 5. We Are At a Point of Deception The 6D Exponential Framework Digitization of Basic & Clinical Research & EHR’s Deception We Are Here Disruption Demonetization Dematerialization Democratization Open science Patient centered health care
  • 6. Motivation: The Story of Meredith http://fora.tv/2012/04/20/Congress_Unplugged_ Phil_Bourne Stephen Friend
  • 7. “And that’s why we’re here today. Because something called precision medicine … gives us one of the greatest opportunities for new medical breakthroughs that we have ever seen.” President Barack Obama January 30, 2015
  • 8. Precision Medicine Initiative  National Research Cohort – >1 million U.S. volunteers – Numerous existing cohorts (many funded by NIH) – New volunteers  Participants will be centrally involved in design and implementation of the cohort  They will be able to share genomic data, lifestyle information, biological samples – all linked to their electronic health records
  • 9. An Example of That Promise: Comorbidity Network for 6.2M Danes Over 14.9 Years Jensen et al 2014 Nat Comm 5:4022
  • 10. Office of Biomedical Data Science Mission Statement To use data science to foster an open digital ecosystem that will accelerate efficient, cost-effective biomedical research to enhance health, lengthen life, and reduce illness and disability Goals expanded from recommendations in the June 2012 DIWG and BRWWG reports.
  • 11. The BD2K Program is Central to the Mission Planned – Black; Available- Green
  • 12.
  • 13. Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) Santosh Kumar, Ph.D. Director, MD2K Center of Excellence Professor & Moss Chair of Excellence in Computer Science University of Memphis https://datascience.nih.gov/bd2k/funded-programs/centers
  • 14. MD2K Applications – CHF and Smoking
  • 15. Building The Data Ecosystem Community Policy • Sustainable business model • Collaboration • Training Data Science Infrastructure
  • 16. Building The Data Ecosystem Community Policy • Sustainable business model • Collaboration • Training Virtuous Research Cycle Data Science Infrastructure
  • 18. Policies  Data Sharing – Genomic data sharing policy implemented – Data sharing plans on all research awards 2016 – Data sharing plan enforcement • Machine readable plan • Repository requirements to include grant numbers http://www.nih.gov/news/health/aug2014/od-27.htm
  • 19. Policies  Data Citation – Goal: legitimize data as a form of scholarship – Process: • Machine readable standard for data citation (done) • Endorsement of data citation for inclusion in NIH bib sketch, grants, reports, etc. • Example formats for human readable data citations • Slowly work into NLM/NCBI workflow  dbGaP in the cloud (done!)
  • 20. NIHNIH…… Turning Discovery Into HealthTurning Discovery Into Health philip.bourne@nih.gov

Notas del editor

  1. Five Big Problems to Solve: Finding, Accessing, Interoperating with, and Re-using the data (FAIR principles) Extending policies and practices for data sharing Organizing, managing, and processing biomedical Big Data Developing new methods and tools for analyzing biomedical Big Data Training researchers who can use biomedical Big Data effectively
  2. Photos: FC tweet; RK screen grab
  3. Images of people from Infographic (NOTE: Image is just a placeholder—Jill will tweak) Detailed Notes: National Research Cohort <<OR name of study>> >1 million U.S. volunteers committed to participating in research Will combine a number of existing cohorts Will include Dept of Veterans Affairs Million Veteran Program—note Veteran is singular per http://www.research.va.gov/MVP/
  4. 16 million hospital inpatient events (24.5% of total), 35 million outpatient clinic events (53.6% of total) and 14 million emergency department events (21.9% of total