Preface to a Strategic Plan for Data Science at the NIH
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The document outlines the strategic updates to a data science initiative led by Philip E. Bourne, Ph.D., focusing on accomplishments and challenges since 2012. It emphasizes using data science to enhance biomedical research through sustainability, workforce development, discovery, and leadership by 2020. Key goals include fostering a diverse workforce, enabling significant scientific discoveries, and improving data sharing processes to align with NIH's mission.
Preface to a Strategic Plan for Data Science at the NIH
- 1. ADDS Update Preface to a Strategic Plan Philip E. Bourne, Ph.D., FACMI May 14, 2015
- 2. 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
- 3. 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
- 4. 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
- 5. 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
- 6. 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 Development & Diversity Discovery & Innovation Policy & Process Leadership
- 7. Research Objects in the Commons Voxel Wide Genome Scanning MRI standardization Over 100 Public Lectures Collaboration with a Minority Institution 185 Institutions Involved Genomic Data Sharing Policy Cross-cutting Success - BD2K Center Sustainability Workforce Development & Diversity Discovery & Innovation Policy & Process Leadership Actionable Areas
- 8. • 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
- 9. 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 Collaborations BD2K Training Coordination Center, NSF/NIH IDEAs Lab Expanding NIH Data Science Workforce Development Center Local courses, e.g. Software Carpentry Discovery of Educational Resources BD2K Training Coordination Center Goal: To strengthen the ability of a diverse biomedical workforce to develop and benefit from data science
- 10. 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
- 11. 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
- 12. Sustainability Workforce Development & Diversity Discovery & Innovation Policy & Process Leadership ICs Community: Academia, Industry, and Gov’t ADDS Goal: Further visibility of NIH leadership in data science by the public, DHHS, USG at large, and international funders Network of data science expertise consultation & coordination Communication website, listserv, blogs, Twitter Community Building Data Science Seminar Series Pi Day Public Engagement
- 13. 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
Editor's Notes
- #2: For discussion with Francis Collins & Larry Tabak
- #9: Bullet 2 (Internal Review): Status: Internal Review: first pass at inventory complete (80 resources, $500K/yr); RFI about best practices Next Steps: Report to IC directors, work w/ other agencies, Review Commons and cloud-broker model pilots, Review findings from sustainability supplements, Identify best practices for resources Long term: Propose sustainability & preservation strategy through new & revised funding models Bullet 3: Commons: Status: Cloud pilots on-going (NCI, HMP, others); BD2K pilot funding to begin Commons development Next steps:Evaluate cost-benefit of using cloud resources over traditional approaches for analytical research; Further Commons pilots and development Long-term: Assuming Commons is a value proposition, transition to this model and continue to evaluate Removed bullets: Increasing value of data by increasing interoperability of data resources Collaborating with other agencies to find shared solutions and to consider new funding models
- #13: Examples of ADDS-Community interactions: HIROs workshop, support for the Global Alliance for Genomics and Health and other community organizations.