1. BD2K @ NIH – A Vision Through 2020
Philip E. Bourne, PhD, FACMI
Associate Director for Data Science

2. Yes these are uncertain times, but …
First and foremost you should see this meeting as a celebration of the hard work of the past two years
Yes these are uncertain times, but …
There is a commitment to the BD2K program through 2020

3. BD2K cannot be viewed in isolation, but rather as part of a broader view of data NIH … Particularly as funding is increasingly from the IC’s

4. A View Which Includes: A vibrant research program of:
Fundamental developments in data science
Application of those fundamental developments
Flagship projects to which developments are applied:
PMI, Brain, Moonshot, ECHO
A sustainable data ecosystem
Commons and the FAIR Principles adoption
Cross-cutting activities
Increased workforce training
A changing governance model

5. A Strategic Response can be Modeled on Three Axes:
Research
Resources
Outcomes

6. A Strategic Response Research Resources Outcomes Fundamental
Machine learning
Data mining
Indexing
Predictive modeling …
Applied
Sustainability, governance, economics of data
Privacy and security
Effective use of clouds …
Research
Resources
Outcomes

7. A Strategic Response Research Resources Outcomes Fundamental
Machine learning
Data mining
Indexing
Predictive modeling …
Applied
Sustainability, governance, economics of data
Privacy and security
Effective use of clouds …
Research
Resources
Standards
Commons
APIs
Reference data sets
Workflows
Access & Authentication
Workforce
Outcomes

8. A Strategic Response Research Resources Outcomes Fundamental
Machine learning
Data mining
Indexing
Predictive modeling …
Applied
Sustainability, governance, economics of data
Privacy and security
Effective use of clouds …
Research
Evaluated pilots
FAIR data
Trained workforce
Best practices
Policies
Effective use of clouds
On-ramps for all IC’s
Resources
Standards
Commons
APIs
Reference data sets
Workflows
Access & Authentication
Workforce
Outcomes

9. A View Which Includes: A vibrant research program of:
Fundamental developments in data science
Application of those fundamental developments
Flagship projects to which developments are applied:
PMI, Brain, Moonshot, ECHO
A sustainable data ecosystem
Commons and the FAIR Principles adoption
Cross-cutting activities
Increased workforce training
A changing governance model

10. The Current Situation NIH Funded Data Dark Data Cost
Total data from NIH-funded research currently estimated at 650 PB*
20 PB of that is in NCBI/NLM (3%) and it is expected to grow by 10 PB this year
Dark Data
Only 12% of data described in published papers is in recognized archives – 88% is dark data^
Cost
: NIH spent ~$1.2Bn extramurally on maintaining data archives
$1.25bn per year to capture all data.
After a significant effort at reduction, intramurally data is spread across > 60 data centers; imagine the extramural situation.
* In 2012 Library of Congress was 3 PB ^

11. The Commons - Status Commons and FAIR principles* adopted across NIH
Development and public release of a prototype Data Discovery Index
DataMed
Feb. v 1.0
Nov v 1.5
Cloud credits being issued for work in the Commons
FOA’s for Commons Framework being issued
Commons pilots under way *

12. Sustainability – Sample Other Activities
Request for Information: Metrics to Assess Value of Biomedical Digital Repositories (NOT-OD )
To be discussed at Sustainability Session, Wed 1pm
RFA to support community based standards work was released in the fall for May 2017 award, session today 1pm
Funding opportunity announcement: (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (RFA-LM )
Applications due Dec 15

13. Sustainability – Looking Forward
International collaboration on business models for sustainable data repositories
Sustainable Business Models for Data Repositories (OECD Global Science Forum)
Future of Life Sciences and Biomedical Databases (International Human Science Frontiers Program)
NIH long-term data repository support
Federal interagency Workshop on Measuring the Impact of Data Repositories, 2017
Recommend mechanism(s), review criteria, implementation plan

14. Example Cross-cutting Activities
International partnerships
Count everything – Secure count query framework
California centers regional meetings
GA4GH – Beacon project

15. A View Which Includes: A vibrant research program of:
Fundamental developments in data science
Application of those fundamental developments
Flagship projects to which developments are applied:
PMI, Brain, Moonshot, ECHO
A sustainable data ecosystem
Commons and the FAIR Principles adoption
Cross-cutting activities
Increased workforce training
A changing governance model

16. NLM Working Group Report Patti Brennan – New NLM director
Recommendation – NLM should become the programmatic epicenter for data science at NIH …
Patti Brennan – New NLM director

17. What We Hope to See in 2020
New innovations bought about by large and complex data
Evidence of translation i.e. real application at the point of care
Broad Commons adoption leading to
Improved sharing, reuse and hence cost effectiveness and reproducibility
A balance between what is spent on data vs what is gained from that data
Policies that are supportive of the above

18. … for your hard work and to the NIH staff from the ADDS office and from across the IC’s who have toiled to make BD2K a success