Presentations text content in Biomedical Data Stewardship:
Slide1
Biomedical Data Stewardship: technologies for making biomedical resources FAIR
Jennie Larkin, PhD Senior AdvisorOffice of the Associate Director for Data Science (ADDS)
SciDataCon September 12, 2016
Slide2Biomedical 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
Slide3Science
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.
Slide4Process: Rigor & Reproducibility
Cornerstones of Scientific Advancement Rigor in designing and performing scientific research Ability to reproduce biomedical research findings.
https://
www.nih.gov
/research-training/rigor-reproducibility
Slide5Scientific output: theories, data, tools…
1398 Cell
166
, 1397–1410, September 8, 2016
Slide6Why 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)
Slide7Data Stewardship Life Cycle
Data generated, cleaned,
and analyzed
Publication of papers and release of associated data sets
Data housed for long-term storage
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
Slide8
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 scienceBD2K supports tools/research for better metadata
Slide9Data Sharing & the Commons
Commons = a shared virtual spaceContains digital research objects (data, software, methods, papers, etc.)Co-locates data and computeConforms to FAIR principles:FindableAccessible (and usable)Interoperable ReusableAnd citable!
Vivien
Bonazzi
https
://
datascience.nih.gov
/commons
Slide10The 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
Slide11Mapping 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 andcommunity defined data sets
HMP
MODSGDC
Cloud
Credits
Cloud
Credits
Slide12Address how important resources should be identified and maintained in long-term.Governance, review, and funding options
Sustaining the Big Data Ecosystem
Allen
Dearry
Breakout
session 5: Sustainable Business Models for Data Repositories
Slide13Current BD2K OpportunitiesRFA #ClosesBig Data to Knowledge (BD2K) Community-Based Data and Metadata Standards Efforts (R24)ES-16-01010/19/2016Big Data to Knowledge (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (U01)LM-17-00112/15/2016NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25)MD-16-00211/14/2016BD2K Research Education Curriculum Development: Data Science Overview for Biomedical Scientists (R25)ES-16-01112/07/2016BD2K Open Educational Resources for Skills Development in Biomedical Big Data Science (R25)HG-16-01608/03/2017NIH/BD2K Participation in the Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) NOT-EB-16-00809/28/2016
https://
datascience.nih.gov
/bd2k/announcements
/
Slide14Data Science at NIH
Data Science at NIH
https://datascience.nih.gov bd2k@nih.gov @NIH_BD2K #BD2K
Jennie.Larkin@nih.gov
Biomedical Data Stewardship:
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