ADDS Update Preface to a Strategic Plan

Philip E. Bourne, Ph.D., FACMIMay 14, 2015

Accomplishments & Challenges to Date

• Accomplishments:– Fulfilling all the recommendations of the 2012 ACD Working

Group report– Delivering a vibrant extramural program (BD2K) to establish

the needed data science ecosystem– Established a new office in support of trans-NIH data science

• Challenges:– Managing short-term expectations against a predominantly

outward-facing program with 3-5 year objectives– Convincing IC’s we are not the solution but part of the

solution

What Drives Our Strategic Thinking

• Be Prepared - Responding to take advantage of the opportunities offered by a major disruption in the biomedical research enterprise arising through digitization and exponential growth

• Accelerating discovery during this time of disruptive development

• Continually catalyzing a cultural shift towards a more analytical enterprise while managing expectations

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

Overall Goals by 2020

• Enable major scientific discovery through the BD2K initiative

• Establish and provide evidence of a more sustainable, efficient and productive data science ecosystem both internal and external to NIH

• Establish and provide evidence of a well-trained and diverse workforce able to use and develop biomedical data science tools and methods

• Build upon NIH’s leadership and reputation in data science

Data Science Strategy

• We have identified 5 actionable areas

• The relative emphasis and growth of these areas is being addressed as part of the strategic planning process

• Success cuts across all these areas …

Sustainability

Workforce Devel-opment & Diversity

Discovery & In-novation

Policy & Process

Leadership

Research Objects in the Commons

Voxel Wide Genome ScanningMRI standardization

Over 100 Public LecturesCollaboration with a Minority Institution

185 Institutions Involved

Genomic Data SharingPolicy

Cross-cutting Success - BD2K Center

Sustainability

Workforce Development &

Diversity

Discovery & Innovation

Policy & Process

Leadership

Actionable Areas

• Propose a sustainability and preservation strategy in FY16-17

• Gathering and sharing information about existing data resources and best practices for supporting resources

• Measuring value and costs of data resources

o Commons to enable and measure usage, as well as to promote sharing and leverage new technologies

o Identifying and measuring contributors to value other than usage

o Cloud-broker credit model to measure costs

Sustainability

Workforce Development & Diversity

Discovery & Innovation

Policy & Process

Leadership

Goal: To foster a sustainable, efficient, and productive data science ecosystem

Sustainability

Workforce Development & Diversity

Discovery & Innovation

Policy & Process

Leadership

Strengthening a diverse biomedical workforce to

utilize data science BD2K funding of Short

Courses and Open Educational Resources

Building a diverse workforce in biomedical

data science BD2K Training programs

and Individual Career Awards

Fostering CollaborationsBD2K Training

Coordination Center, NSF/NIH IDEAs Lab

Expanding NIH Data Science Workforce

Development CenterLocal courses, e.g.

Software Carpentry

Discovery of Educational ResourcesBD2K Training Coordination Center

Goal: To strengthen the ability of a diverse biomedical workforce to develop and benefit from data science

Funded in FY14

12 BD2K Centers of Excellence

Data Discovery

Index Consortium

Funding in FY15

Centers Coordinating

Center

Targeted software awards

FY16 or beyond

Building Collaborations

to harness new skill sets

Standards Coordination

Center

Software index

Sustainability

Workforce Development & Diversity

Discovery & Innovation

Policy & Process

Leadership

Goal: To enable major scientific discovery and innovation through the BD2K Initiative

Sustainability

Workforce Development & Diversity

Discovery & Innovation

Policy & Process

Leadership

Improving processes to increase efficiency• Example:

revised BD2K governance model

Updating policies to keep up with changing technologies• Example:

dbGaP in the cloud

Increasing the value of data through sharing and citation• Example:

Instigating machine-readable data sharing plans on all grants

Goal: To contribute to policies & processes involving data that further the NIH mission

Sustainability

Workforce Development & Diversity

Discovery & Innovation

Policy & Process

Leadership

ICs

Community: Academia, Industry,

and Gov’tADDS

Goal: Further visibility of NIH leadership in data science by the public, DHHS, USG at large, and international funders

Network of data science expertiseconsultation & coordination Communication

website, listserv, blogs, Twitter

Community BuildingData Science Seminar Series

Pi Day

Public Engagement

Next Steps

• If agreement on goals & approach, develop a strategic plan & timelines for further discussion (drafted)

• Short term early wins– Hire clinical biomedical informatics specialist to interface

with PMI & IC’s– Redirect existing funds for

• An IC & government relations liaison• IRP Commons support• IRP training support

• Long term– Depends somewhat on the NLM vision