Biomedical Data Stewardship:

Biomedical Data Stewardship: Biomedical Data Stewardship: - Start

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technologies for making biomedical resources . FAIR. Jennie Larkin, PhD . Senior Advisor. Office of the Associate Director for Data Science (ADDS). . SciDataCon. . . . September 12, 2016 . Biomedical Data Stewardship: . ID: 540462 Download Presentation

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Biomedical Data Stewardship:




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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

Slide2

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

Slide3

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.

Slide4

Process: 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

Slide5

Scientific output: theories, data, tools…

1398 Cell

166

, 1397–1410, September 8, 2016

Slide6

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)

Slide7

Data 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

Slide9

Data 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

Slide10

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

Slide11

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 andcommunity defined data sets

HMP

MODSGDC

Cloud

Credits

Cloud

Credits

Slide12

Address 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

Slide13

Current 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

/

Slide14

Data Science at NIH

Data Science at NIH

https://datascience.nih.gov bd2k@nih.gov @NIH_BD2K #BD2K

Jennie.Larkin@nih.gov


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