SlideShare une entreprise Scribd logo
1  sur  20
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

Contenu connexe

Tendances

Understanding the Big Data Enterprise
Understanding the Big Data EnterpriseUnderstanding the Big Data Enterprise
Understanding the Big Data EnterprisePhilip Bourne
 
Meeting the Computational Challenges Associated with Human Health
Meeting the Computational Challenges Associated with Human HealthMeeting the Computational Challenges Associated with Human Health
Meeting the Computational Challenges Associated with Human HealthPhilip Bourne
 
From Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We GoingFrom Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We GoingPhilip Bourne
 
Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...
Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...
Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...Khulisa Management Services
 
WhatsApp for better public service delivery - Emily Herrick (Reboot, US)
WhatsApp for better public service delivery - Emily Herrick (Reboot, US)WhatsApp for better public service delivery - Emily Herrick (Reboot, US)
WhatsApp for better public service delivery - Emily Herrick (Reboot, US)mysociety
 

Tendances (7)

Understanding the Big Data Enterprise
Understanding the Big Data EnterpriseUnderstanding the Big Data Enterprise
Understanding the Big Data Enterprise
 
Meeting the Computational Challenges Associated with Human Health
Meeting the Computational Challenges Associated with Human HealthMeeting the Computational Challenges Associated with Human Health
Meeting the Computational Challenges Associated with Human Health
 
From Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We GoingFrom Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We Going
 
Green IT
Green ITGreen IT
Green IT
 
AMIA 2014
AMIA 2014AMIA 2014
AMIA 2014
 
Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...
Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...
Going Digital: Using Mobile Data Collection to Monitor ECD in South Africa by...
 
WhatsApp for better public service delivery - Emily Herrick (Reboot, US)
WhatsApp for better public service delivery - Emily Herrick (Reboot, US)WhatsApp for better public service delivery - Emily Herrick (Reboot, US)
WhatsApp for better public service delivery - Emily Herrick (Reboot, US)
 

En vedette

Tips y consejos para viajeros
Tips y consejos para viajerosTips y consejos para viajeros
Tips y consejos para viajerosMafi938
 
The Los Angeles Area Fashion Industry Profile
The Los Angeles Area Fashion Industry ProfileThe Los Angeles Area Fashion Industry Profile
The Los Angeles Area Fashion Industry ProfileCIT Group
 
Twitter Lists Made Social with Listly [infographic]
Twitter Lists Made Social with Listly [infographic]Twitter Lists Made Social with Listly [infographic]
Twitter Lists Made Social with Listly [infographic]Nick Kellet
 
Historia insp alvaro bello
Historia insp alvaro belloHistoria insp alvaro bello
Historia insp alvaro belloantonio leal
 
Top 30 Most Interactive Tech Blogs
Top 30 Most Interactive Tech BlogsTop 30 Most Interactive Tech Blogs
Top 30 Most Interactive Tech BlogsBrand24
 
Working from the bottom of the backlog - 1% day
Working from the bottom of the backlog - 1% dayWorking from the bottom of the backlog - 1% day
Working from the bottom of the backlog - 1% dayPriyanka Bhasin
 
بازارگردانی
بازارگردانیبازارگردانی
بازارگردانیReza Kiani
 
データベース技術 9(Database 9)
データベース技術 9(Database 9)データベース技術 9(Database 9)
データベース技術 9(Database 9)Yuka Obu
 
Vivir en prime time (en situaciones de discapacidad).
Vivir en prime time (en situaciones de discapacidad).Vivir en prime time (en situaciones de discapacidad).
Vivir en prime time (en situaciones de discapacidad).José María
 
Irisan-A1 Geometri ruang 2016 Unnes Rombel 2
Irisan-A1 Geometri ruang 2016 Unnes Rombel 2Irisan-A1 Geometri ruang 2016 Unnes Rombel 2
Irisan-A1 Geometri ruang 2016 Unnes Rombel 2Pujjii AStoperd
 

En vedette (14)

lecture 1 content
lecture 1 contentlecture 1 content
lecture 1 content
 
Tips y consejos para viajeros
Tips y consejos para viajerosTips y consejos para viajeros
Tips y consejos para viajeros
 
The Los Angeles Area Fashion Industry Profile
The Los Angeles Area Fashion Industry ProfileThe Los Angeles Area Fashion Industry Profile
The Los Angeles Area Fashion Industry Profile
 
Twitter Lists Made Social with Listly [infographic]
Twitter Lists Made Social with Listly [infographic]Twitter Lists Made Social with Listly [infographic]
Twitter Lists Made Social with Listly [infographic]
 
тачки
тачкитачки
тачки
 
Historia insp alvaro bello
Historia insp alvaro belloHistoria insp alvaro bello
Historia insp alvaro bello
 
Top 30 Most Interactive Tech Blogs
Top 30 Most Interactive Tech BlogsTop 30 Most Interactive Tech Blogs
Top 30 Most Interactive Tech Blogs
 
Organizational culture (indo)
Organizational culture (indo)Organizational culture (indo)
Organizational culture (indo)
 
Twitter
TwitterTwitter
Twitter
 
Working from the bottom of the backlog - 1% day
Working from the bottom of the backlog - 1% dayWorking from the bottom of the backlog - 1% day
Working from the bottom of the backlog - 1% day
 
بازارگردانی
بازارگردانیبازارگردانی
بازارگردانی
 
データベース技術 9(Database 9)
データベース技術 9(Database 9)データベース技術 9(Database 9)
データベース技術 9(Database 9)
 
Vivir en prime time (en situaciones de discapacidad).
Vivir en prime time (en situaciones de discapacidad).Vivir en prime time (en situaciones de discapacidad).
Vivir en prime time (en situaciones de discapacidad).
 
Irisan-A1 Geometri ruang 2016 Unnes Rombel 2
Irisan-A1 Geometri ruang 2016 Unnes Rombel 2Irisan-A1 Geometri ruang 2016 Unnes Rombel 2
Irisan-A1 Geometri ruang 2016 Unnes Rombel 2
 

Similaire à Hpm100615

Health Policy and Management as it Relates to Big Data
Health Policy and Management as it Relates to Big DataHealth Policy and Management as it Relates to Big Data
Health Policy and Management as it Relates to Big DataPhilip Bourne
 
The Vision for Data @ the NIH
The Vision for Data @ the NIHThe Vision for Data @ the NIH
The Vision for Data @ the NIHPhilip Bourne
 
The NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAGThe NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAGPhilip Bourne
 
Cloud Computing and Innovations for Optimizing Life Sciences Research
Cloud Computing and Innovations for Optimizing Life Sciences ResearchCloud Computing and Innovations for Optimizing Life Sciences Research
Cloud Computing and Innovations for Optimizing Life Sciences ResearchInterpretOmics
 
A Successful Academic Medical Center Must be a Truly Digital Enterprise
A Successful Academic Medical Center Must be a Truly Digital EnterpriseA Successful Academic Medical Center Must be a Truly Digital Enterprise
A Successful Academic Medical Center Must be a Truly Digital EnterprisePhilip Bourne
 
Will Biomedical Research Fundamentally Change in the Era of Big Data?
Will Biomedical Research Fundamentally Change in the Era of Big Data?Will Biomedical Research Fundamentally Change in the Era of Big Data?
Will Biomedical Research Fundamentally Change in the Era of Big Data?Philip Bourne
 
Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...
Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...
Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...Philip Bourne
 
The Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIHThe Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIHPhilip Bourne
 
Secure Data Sharing and Related Matters – An NIH View
Secure Data Sharing and Related Matters – An NIH ViewSecure Data Sharing and Related Matters – An NIH View
Secure Data Sharing and Related Matters – An NIH ViewPhilip Bourne
 
Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?Philip Bourne
 
Opportunities in technology and connected health for population science
Opportunities in technology and connected health for population science Opportunities in technology and connected health for population science
Opportunities in technology and connected health for population science Warren Kibbe
 
Why the food sector needs a research infrastructure on Food and Health Consum...
Why the food sector needs a research infrastructure on Food and Health Consum...Why the food sector needs a research infrastructure on Food and Health Consum...
Why the food sector needs a research infrastructure on Food and Health Consum...e-ROSA
 
Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...
Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...
Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...David Kiger
 
Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedPhilip Bourne
 
Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...
Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...
Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...DataWorks Summit/Hadoop Summit
 
Diabetes Data Science
Diabetes Data ScienceDiabetes Data Science
Diabetes Data SciencePhilip Bourne
 
Biomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AloneBiomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AlonePhilip Bourne
 
The Virtual Future of Healthcare
The Virtual Future of HealthcareThe Virtual Future of Healthcare
The Virtual Future of HealthcareRobin Teigland
 

Similaire à Hpm100615 (20)

Health Policy and Management as it Relates to Big Data
Health Policy and Management as it Relates to Big DataHealth Policy and Management as it Relates to Big Data
Health Policy and Management as it Relates to Big Data
 
The Vision for Data @ the NIH
The Vision for Data @ the NIHThe Vision for Data @ the NIH
The Vision for Data @ the NIH
 
The NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAGThe NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAG
 
Cloud Computing and Innovations for Optimizing Life Sciences Research
Cloud Computing and Innovations for Optimizing Life Sciences ResearchCloud Computing and Innovations for Optimizing Life Sciences Research
Cloud Computing and Innovations for Optimizing Life Sciences Research
 
A Successful Academic Medical Center Must be a Truly Digital Enterprise
A Successful Academic Medical Center Must be a Truly Digital EnterpriseA Successful Academic Medical Center Must be a Truly Digital Enterprise
A Successful Academic Medical Center Must be a Truly Digital Enterprise
 
Will Biomedical Research Fundamentally Change in the Era of Big Data?
Will Biomedical Research Fundamentally Change in the Era of Big Data?Will Biomedical Research Fundamentally Change in the Era of Big Data?
Will Biomedical Research Fundamentally Change in the Era of Big Data?
 
Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...
Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...
Data Science at NIH and its Relationship to Social Computing, Behavioral-Cult...
 
The Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIHThe Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIH
 
Secure Data Sharing and Related Matters – An NIH View
Secure Data Sharing and Related Matters – An NIH ViewSecure Data Sharing and Related Matters – An NIH View
Secure Data Sharing and Related Matters – An NIH View
 
Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?
 
Opportunities in technology and connected health for population science
Opportunities in technology and connected health for population science Opportunities in technology and connected health for population science
Opportunities in technology and connected health for population science
 
Why the food sector needs a research infrastructure on Food and Health Consum...
Why the food sector needs a research infrastructure on Food and Health Consum...Why the food sector needs a research infrastructure on Food and Health Consum...
Why the food sector needs a research infrastructure on Food and Health Consum...
 
Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...
Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...
Leveraging the force: How Social, Mobile, Analytics and Cloud Technologies Ar...
 
BD2K Update
BD2K UpdateBD2K Update
BD2K Update
 
Vision 2020 FINAL
Vision 2020 FINALVision 2020 FINAL
Vision 2020 FINAL
 
Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has Changed
 
Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...
Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...
Large Scale Health Telemetry and Analytics with MQTT, Hadoop and Machine Lear...
 
Diabetes Data Science
Diabetes Data ScienceDiabetes Data Science
Diabetes Data Science
 
Biomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AloneBiomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not Alone
 
The Virtual Future of Healthcare
The Virtual Future of HealthcareThe Virtual Future of Healthcare
The Virtual Future of Healthcare
 

Plus de Philip Bourne

Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedPhilip Bourne
 
AI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationAI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationPhilip Bourne
 
AI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingAI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingPhilip Bourne
 
Thoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityThoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityPhilip Bourne
 
What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?Philip Bourne
 
Data Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangeData Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangePhilip Bourne
 
Data Science Meets Drug Discovery
Data Science Meets Drug DiscoveryData Science Meets Drug Discovery
Data Science Meets Drug DiscoveryPhilip Bourne
 
BIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchBIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchPhilip Bourne
 
AI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data ScienceAI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data SciencePhilip Bourne
 
What Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewWhat Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewPhilip Bourne
 
Novo Nordisk 080522.pptx
Novo Nordisk 080522.pptxNovo Nordisk 080522.pptx
Novo Nordisk 080522.pptxPhilip Bourne
 
Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Philip Bourne
 
COVID and Precision Education
COVID and Precision EducationCOVID and Precision Education
COVID and Precision EducationPhilip Bourne
 
One View of Data Science
One View of Data ScienceOne View of Data Science
One View of Data SciencePhilip Bourne
 
Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Philip Bourne
 
Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Philip Bourne
 
Data to Advance Sustainability
Data to Advance SustainabilityData to Advance Sustainability
Data to Advance SustainabilityPhilip Bourne
 
Frontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesFrontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesPhilip Bourne
 
Social Responsibility in Research
Social Responsibility in ResearchSocial Responsibility in Research
Social Responsibility in ResearchPhilip Bourne
 
SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?Philip Bourne
 

Plus de Philip Bourne (20)

Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has Changed
 
AI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationAI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a Conversation
 
AI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingAI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We Going
 
Thoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityThoughts on Biological Data Sustainability
Thoughts on Biological Data Sustainability
 
What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?
 
Data Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangeData Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything Change
 
Data Science Meets Drug Discovery
Data Science Meets Drug DiscoveryData Science Meets Drug Discovery
Data Science Meets Drug Discovery
 
BIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchBIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in Research
 
AI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data ScienceAI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data Science
 
What Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewWhat Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's View
 
Novo Nordisk 080522.pptx
Novo Nordisk 080522.pptxNovo Nordisk 080522.pptx
Novo Nordisk 080522.pptx
 
Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)
 
COVID and Precision Education
COVID and Precision EducationCOVID and Precision Education
COVID and Precision Education
 
One View of Data Science
One View of Data ScienceOne View of Data Science
One View of Data Science
 
Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?
 
Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?
 
Data to Advance Sustainability
Data to Advance SustainabilityData to Advance Sustainability
Data to Advance Sustainability
 
Frontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesFrontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular Scales
 
Social Responsibility in Research
Social Responsibility in ResearchSocial Responsibility in Research
Social Responsibility in Research
 
SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?
 

Dernier

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxRamakrishna Reddy Bijjam
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfChris Hunter
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIShubhangi Sonawane
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 

Dernier (20)

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 

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

Notes de l'éditeur

  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