1. Biomedical Data Stewardship: technologies for making biomedical resources FAIR
Jennie Larkin, PhD
Senior Advisor
Office of the Associate Director for Data Science (ADDS)
SciDataCon  September 12, 2016

2. Biomedical Data Stewardship: technologies for making biomedical resources FAIR
PART 1: Overview and Data Discovery (14:00—15:30)
BD2K
ELIXIR
Data findability approaches and tools
RDA IG New Paradigms for Data Discovery. Thursday 11:30
PART 2: Accessibility, Interoperability, & Reusability.  FAIR in practice in biomedical research (16:00—17:30)
Findability of interoperability standards
Enabling Accessibility and Reusability
FAIR Use Cases
RDA 8th Plenary Joint meeting: IG Elixir Bridging Force, WG Biosharing Registry, WG Data Type Registries, WG Metadata Standards Catalog. Breakout 2, Thursday 14:00
Joint meeting of IG ELIXIR Bridging Force, WG BioSharing Registry: The FAIR Data Principles - the concepts and exemplars implementations. Breakout 4, Friday 11:00

3. Science
A systematically organized body of knowledge (facts) on a particular subject.
A process of discovery that allows us to link isolated facts into coherent and comprehensive understanding of the natural world.

4. Process: Rigor & Reproducibility
Cornerstones of Scientific Advancement
Rigor in designing and performing scientific research
Ability to reproduce biomedical research findings.

5. Scientific output: theories, data, tools…
1398 Cell 166, 1397–1410, September 8, 2016

6. If we cannot get a handle on the scientific body of knowledge,
Why Data Stewardship?
If we cannot get a handle on the scientific body of knowledge,
how can we do science?
So much data, so many articles, so many theories, so many databases, so many computer programs and tools… (Big Data)
That we are losing the “systematic organization of knowledge” that is the foundation of the scientific enterprise. (The problem that Big Data causes)
So we need help turn the morass of data back into a systematic organization of knowledge: Data Science & Data Stewardship. (How to address the problem that Big Data causes)

7. Data Stewardship Life Cycle
Publication of papers and release of associated data sets
Data generated, cleaned, and analyzed
Data housed for long-term storage
Data Sustainability
Data Publication and Sharing
Data Generation
Data annotated, curated, and formatted. Made FAIR
FAIR data can be cited and easily accessed and re-used, as part of a data commons
Ensuring high value data sets are maintained for future possible need.
FAIR: Findable, Accessible, Interoperable, Reusable

8. Data Generation & Curation
High quality data arises from high quality experimental design and lab practices.
Need strong data curation practices and robust analyses.
BD2K supports training for data management and data science
BD2K supports tools/research for better metadata
Data Sustainability
Data Publication and Sharing
Data Generation

9. Data Sharing & the Commons
Data Sustainability
Data Publication and Sharing
Data Generation
Commons = a shared virtual space
Contains digital research objects (data, software, methods, papers, etc.)
Co-locates data and compute
Conforms to FAIR principles:
Findable
Accessible (and usable)
Interoperable
Reusable
And citable!
Vivien Bonazzi

10. Software: Services & Tools
The Commons Framework
Compute Platform: Cloud or HPC
Services: APIs, Containers, Indexing
Software: Services & Tools
Scientific analysis tools/workflows
Data
“Reference” Data Sets
User defined data
Digital Object Compliance
App store/User Interface
Ensuring that high value data resources can be accessed, used, and cited

11. Mapping BD2K Activities to the Commons
Indexing
Compute Platform: Cloud or HPC
Services: APIs, Containers, Indexing
Software: Services & Tools
Scientific analysis tools/workflows
Data
“Reference” Data Sets
User defined data
Digital Object Compliance
App store/User Interface
NIH and
community
defined data sets
HMP
MODS
GDC
Cloud Credits

12. Sustaining the Big Data Ecosystem
Address how important resources should be identified and maintained in long-term.
Governance, review, and funding options
Allen Dearry
Breakout session 5: Sustainable Business Models for Data Repositories
Data Sustainability
Data Publication and Sharing
Data Generation

13. Current BD2K Opportunities
RFA #
Closes
Big Data to Knowledge (BD2K) Community-Based Data and Metadata Standards Efforts (R24) ES
10/19/2016
Big Data to Knowledge (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (U01) LM
12/15/2016
NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25) MD
11/14/2016
BD2K Research Education Curriculum Development: Data Science Overview for Biomedical Scientists (R25) ES
12/07/2016
BD2K Open Educational Resources for Skills Development in Biomedical Big Data Science (R25) HG
08/03/2017
NIH/BD2K Participation in the Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD)
NOT-EB
09/28/2016

14. Data Science at NIH Data Science at NIH Jennie.Larkin@nih.gov 
 #BD2K