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Welcome! 
A Workshop to Help Chart the 
Future of Data Science at NIH 
Philip E. Bourne Ph.D. 
Associate Director for Data Science 
philip.bourne@nih.gov 
September 3, 2014 NIH Bethesda USA
Goals for Today 
 Everybody’s viewpoint gets heard and appreciated 
 Actions are identified around: 
– Strategic directions 
– Policies 
– Funding initiatives – foundational & use cases 
 Have you leave as advocates and supporters 
 Identify who and how we can continue to engage with 
to carry out these actions 
 Transparently report to the broader community what 
transpired here
A Few Logistics 
 It is an open space style meeting which also means it 
is an open microphone - grab it at any time but do 
state name and affiliation 
 Use the microphone for the benefit of those remote 
 There are Google docs open for comment: 
– https://docs.google.com/document/d/1qObNNoLa9Mrk3ULjo 
I70xxUelgWgcq0DSxwZLuownKA/edit 
– https://docs.google.com/document/d/1VduurNhd2- 
4wA0owxbTIfDT7wOybP0R9fv2EEjJYX34/edit 
 Hashtag is #ADDSUP 
 A summary of the meeting will also be posted as an 
open document for comment
Agenda 
 Provide the needed background and context (ADDS 
team) 
 Open discussion about what is being done and what 
needs to be done (All) 
 Identify topics for more in-depth discussion (All) 
 Join subgroups to discuss these topics (All) 
– Moderators and scribes will be identified 
 Subgroups report back (Moderators) 
 Discussion of outcomes and next steps (All)
Who We Represent as Stakeholders 
 Basic scientists 
 Clinicians 
 Data scientists/providers 
 Funders 
 Library and information scientists 
 Pharma representatives 
 Publishers (open and closed access) 
 Cloud providers 
 Healthcare industry
Some Background 
6/12 2/14 3/14 
• Recommendations: 
• Sharing data & software through catalogs 
• Support methods and applications development 
• Need more training 
• Need campus-wide IT strategy 
• Hire CSIO 
• Continued support throughout the lifecycle
Draft ADDS Team 
Mission Statement 
To foster an ecosystem that enables 
biomedical research to be conducted 
as a digital enterprise that enhances 
health, lengthens life and reduces 
illness and disability
Current Examples of Collaborators in 
the Ecosystem 
– NIH 
• 27 ICs 
– Agencies 
• NSF 
• DOE 
• DARPA 
• NIST 
– Government 
• OSTP 
• HHS HDI 
• ONC 
• CDC 
• FDA 
– Private sector 
• Phrma 
• Google, Amazon, 
Microsoft 
– Organizations 
• GA4GH 
• PCORI 
• RDA 
• FORCE11 
• CCC 
• CATS 
• FASEB 
• Biophysical Society 
• Sloan Foundation 
• Moore Foundation
Some Goals & Examples of the Digital 
Enterprise 
 Sustainability – The Commons & new business mods 
 Efficiency – sharing best practices in longitudinal 
clinical studies 
 Collaboration - identification of collaborators at the 
point of data collection not publication 
 Reproducibility – data accessible with publication 
 Integration – phenotype homogenization 
 Accessibility – clinical trials registration 
 Quality – sharing CDEs across institutes 
 Training – keeping trainees in the ecosystem
Raw Materials to Build the Digital 
Enterprise 
 NIH mandate & support 
 ADDS team of 8 people 
 Intramural participation of over 100 team members 
across ICs 
 Funding through BD2K: 
– $27M in FY14 
– $100M in FY15 
– ....
We have organized ourselves around 
5 thematic areas …
Associate Director for Data Science 
Scientific Data Council External Advisory Board 
Programmatic Theme 
Sustainability Education Innovation Process 
Deliverable 
Commons Training 
BD2K Efficiency 
Example Features • IC’s 
• Cloud – Data & 
Compute 
• Search 
• Security 
• Reproducibility 
Standards 
• App Store 
• Coordinate 
• Hands-on 
• Syllabus 
• MOOCs 
• Community 
• Centers 
• Training Grants 
• Catalogs 
• Standards 
• Analysis 
• Data 
Resource 
Support 
• Metrics 
• Best 
Practices 
• Evaluation 
• Portfolio 
Analysis 
Collaboration 
Partnerships 
• Researchers 
• Federal 
Agencies 
• International 
Partners 
• Computer 
Scientists 
The Biomedical Research Digital Enterprise
Associate Director for Data Science 
Scientific Data Council External Advisory Board 
Programmatic Theme 
Sustainability Education Innovation Process 
Deliverable 
Commons Training 
BD2K Efficiency 
Example Features • IC’s 
• Cloud – Data & 
Compute 
• Search 
• Security 
• Reproducibility 
Standards 
• App Store 
• Coordinate 
• Hands-on 
• Syllabus 
• MOOCs 
• Community 
• Centers 
• Training Grants 
• Catalogs 
• Standards 
• Analysis 
• Data 
Resource 
Support 
• Metrics 
• Best 
Practices 
• Evaluation 
• Portfolio 
Analysis 
Collaboration 
Partnerships 
• Researchers 
• Federal 
Agencies 
• International 
Partners 
• Computer 
Scientists 
The Biomedical Research Digital Enterprise
Process Current Efforts 
– Clinical data harmonization 
– Data citation 
– Machine readable data sharing plans 
– New review models, audiences etc. 
• Open review 
• Micro funding 
• Standing data committees to explore best practices 
• Crowd sourcing
Collaboration Current Efforts 
 Joint public – private partnership workshop with 
NOAA? 
 2 joint workshops with NSF + Dear Colleague letter 
 OSTP – Open Data 2.0 
 HIRO’s big data meeting
Possible Topics 
 Training & Education 
 Sustainability 
 Community engagement 
 Culture change 
 Public private partnerships 
 New data science 
 Research lifecycle infrastructure 
 Metrics and reward systems

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Workshop intro090314

  • 1. Welcome! A Workshop to Help Chart the Future of Data Science at NIH Philip E. Bourne Ph.D. Associate Director for Data Science philip.bourne@nih.gov September 3, 2014 NIH Bethesda USA
  • 2. Goals for Today  Everybody’s viewpoint gets heard and appreciated  Actions are identified around: – Strategic directions – Policies – Funding initiatives – foundational & use cases  Have you leave as advocates and supporters  Identify who and how we can continue to engage with to carry out these actions  Transparently report to the broader community what transpired here
  • 3. A Few Logistics  It is an open space style meeting which also means it is an open microphone - grab it at any time but do state name and affiliation  Use the microphone for the benefit of those remote  There are Google docs open for comment: – https://docs.google.com/document/d/1qObNNoLa9Mrk3ULjo I70xxUelgWgcq0DSxwZLuownKA/edit – https://docs.google.com/document/d/1VduurNhd2- 4wA0owxbTIfDT7wOybP0R9fv2EEjJYX34/edit  Hashtag is #ADDSUP  A summary of the meeting will also be posted as an open document for comment
  • 4. Agenda  Provide the needed background and context (ADDS team)  Open discussion about what is being done and what needs to be done (All)  Identify topics for more in-depth discussion (All)  Join subgroups to discuss these topics (All) – Moderators and scribes will be identified  Subgroups report back (Moderators)  Discussion of outcomes and next steps (All)
  • 5. Who We Represent as Stakeholders  Basic scientists  Clinicians  Data scientists/providers  Funders  Library and information scientists  Pharma representatives  Publishers (open and closed access)  Cloud providers  Healthcare industry
  • 6. Some Background 6/12 2/14 3/14 • Recommendations: • Sharing data & software through catalogs • Support methods and applications development • Need more training • Need campus-wide IT strategy • Hire CSIO • Continued support throughout the lifecycle
  • 7. Draft ADDS Team Mission Statement To foster an ecosystem that enables biomedical research to be conducted as a digital enterprise that enhances health, lengthens life and reduces illness and disability
  • 8. Current Examples of Collaborators in the Ecosystem – NIH • 27 ICs – Agencies • NSF • DOE • DARPA • NIST – Government • OSTP • HHS HDI • ONC • CDC • FDA – Private sector • Phrma • Google, Amazon, Microsoft – Organizations • GA4GH • PCORI • RDA • FORCE11 • CCC • CATS • FASEB • Biophysical Society • Sloan Foundation • Moore Foundation
  • 9. Some Goals & Examples of the Digital Enterprise  Sustainability – The Commons & new business mods  Efficiency – sharing best practices in longitudinal clinical studies  Collaboration - identification of collaborators at the point of data collection not publication  Reproducibility – data accessible with publication  Integration – phenotype homogenization  Accessibility – clinical trials registration  Quality – sharing CDEs across institutes  Training – keeping trainees in the ecosystem
  • 10. Raw Materials to Build the Digital Enterprise  NIH mandate & support  ADDS team of 8 people  Intramural participation of over 100 team members across ICs  Funding through BD2K: – $27M in FY14 – $100M in FY15 – ....
  • 11. We have organized ourselves around 5 thematic areas …
  • 12. Associate Director for Data Science Scientific Data Council External Advisory Board Programmatic Theme Sustainability Education Innovation Process Deliverable Commons Training BD2K Efficiency Example Features • IC’s • Cloud – Data & Compute • Search • Security • Reproducibility Standards • App Store • Coordinate • Hands-on • Syllabus • MOOCs • Community • Centers • Training Grants • Catalogs • Standards • Analysis • Data Resource Support • Metrics • Best Practices • Evaluation • Portfolio Analysis Collaboration Partnerships • Researchers • Federal Agencies • International Partners • Computer Scientists The Biomedical Research Digital Enterprise
  • 13. Associate Director for Data Science Scientific Data Council External Advisory Board Programmatic Theme Sustainability Education Innovation Process Deliverable Commons Training BD2K Efficiency Example Features • IC’s • Cloud – Data & Compute • Search • Security • Reproducibility Standards • App Store • Coordinate • Hands-on • Syllabus • MOOCs • Community • Centers • Training Grants • Catalogs • Standards • Analysis • Data Resource Support • Metrics • Best Practices • Evaluation • Portfolio Analysis Collaboration Partnerships • Researchers • Federal Agencies • International Partners • Computer Scientists The Biomedical Research Digital Enterprise
  • 14. Process Current Efforts – Clinical data harmonization – Data citation – Machine readable data sharing plans – New review models, audiences etc. • Open review • Micro funding • Standing data committees to explore best practices • Crowd sourcing
  • 15. Collaboration Current Efforts  Joint public – private partnership workshop with NOAA?  2 joint workshops with NSF + Dear Colleague letter  OSTP – Open Data 2.0  HIRO’s big data meeting
  • 16. Possible Topics  Training & Education  Sustainability  Community engagement  Culture change  Public private partnerships  New data science  Research lifecycle infrastructure  Metrics and reward systems

Editor's Notes

  1. Dan, Lucila, Russ, Jill provide continuity.
  2. Computing Community Consortium Committee on Applied and Theoretical Statistics Office of the National Coordinator
  3. Heads of International Research Organizations