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Implementing Semantics-Driven Data
Exchange in Brain Science:
the NCANDA Case Study
Nolan Nichols1,2
Arno Klein3
Russ Poldrack2
JB Poline4
Kilian M Pohl1,2
1SRI International
2Stanford University
3Sage Bionetworks
4UC Berkeley
B. Nolan Nichols NIH Commons Working Group 2016 1
The NCANDA Data Repository
Data
Analysis
Component
- Five sites across the USA
- Total of 831 enrolled participants
- Baseline, year 1, 2, and 3 follow-ups
- Clinical/behavioral and imaging data
- Limited data sharing plan
B. Nolan Nichols NIH Commons Working Group 2016 2
T1
DTI rsfMRI
ADNI/fBIRN
Behavioral Data
Imaging Data
Scalable Informatics for Biomedical
Imaging Studies (SIBIS)
Curate and share data by coupling data release
mechanism with AWS cloud
ImportCollection Analysis Distribution
Sharing
Distribution
B. Nolan Nichols NIH Commons Working Group 2016 3
NCANDA Supplement Goals
• Facilitate data sharing and exchange by
developing standard terminologies, data
models, and APIs in partnership with the
neuroimaging community
• Enhance the long-term sustainability of
NCANDA by curating and distributing data
with open standards
• Extend the Neuroimaging Data Model (NIDM) to
support imaging and cognitive measures
B. Nolan Nichols NIH Commons Working Group 2016 4
Scalable Informatics
for Biomedical Imaging Studies (SIBIS)
Archive and share data by coupling data release
mechanism with AWS cloud
ImportCollection Analysis Distribution
Sharing
Distribution
B. Nolan Nichols NIH Commons Working Group 2016 5
ImportCollection Analysis DistributionDistribution
Augment primary data with the data exchange specification
Neuroimaging Data Model (NIDM) and the Cognitive Atlas
Ontology and the upload the Data Repository Synapse
Scalable Informatics
for Biomedical Imaging Studies (SIBIS)
B. Nolan Nichols NIH Commons Working Group 2016 6
Interoperability Supplement Overview
B. Nolan Nichols NIH Commons Working Group 2016 7
The NIDM Framework
- Started in 2011, initially focused on reporting fMRI results
- Extend NIDM to support Data Elements and Value Sets
- Develop object models of clinical, cognitive, and imaging measures
- Demonstrate usage of NIDM for distributing NCANDA datasets
B. Nolan Nichols NIH Commons Working Group 2016 8
B. Nolan Nichols NIH Commons Working Group 2016 9
The NIDM Framework
- Started in 2011, initially focused on reporting fMRI results
- Extend NIDM to support Data Elements and Value Sets
- Develop object models of clinical, cognitive, and imaging measures
- Demonstrate usage of NIDM for distributing NCANDA datasets
B. Nolan Nichols NIH Commons Working Group 2016 10
How the project relates to the
Commons framework
NIH Commons Framework Relationship to the Commons
B. Nolan Nichols NIH Commons Working Group 2016 11
Potential collaborative activities
Project Activity
Han BD2K Center Capture NIDM Packages using BagIT
Musen BD2K center - Incorporate BioPortal Value Sets and Common
Data Elements into NIDM Experiment (or vise
versa)
- CEDAR Templates for NIDM Results (fMRI)
Toga BD2K Center Usage of ARK Identifiers and BagIT
Ohno-Machado iDASH
Project
Data Usage Agreements and Governance of NCANDA
data in the Sage Synapse Platform
Dumontier – smartAPI - Annotate NIDM API and/or Cognitive Atlas API
using the smartAPI method
- Document Clinical Data Management APIs
Digital Object Compliance NIDM as a standard for neuroimaging digital object
compliance
B. Nolan Nichols NIH Commons Working Group 2016 12
Building the NIH Commons
• Consider Data Provenance a core element of Digital Object Compliance
• Consider the PROVOne and Common Workflow Language standards
• Define parts of the data management process covered by the Commons
Poline et al. (2012), Frontiers in Neuroinformatics
B. Nolan Nichols NIH Commons Working Group 2016 13
Acknowledgements
Data Analysis Component
Weiwei Chu Kilian Pohl
Torsten Rohlfing Yong Zhang
Dongjin Kwon Alfonso Bonilla
Dolf Pfefferbaum
Data Sharing Task
Force
Satra Ghosh
Chris Gorgolewski
David Keator
JB Poline
Jessica Turner
… and many others!B. Nolan Nichols Neuroinformatics 2015 14
National Institute on Alcohol Abuse and Alcoholism (NIAAA) and
Office Of The Director, National Institutes Of Health (OD)
NCANDA: Data Analysis Component
5U01AA021697, 3U01AA021697-04S1
B. Nolan Nichols NIH Commons Working Group 2016 15
Extra Slides …
• Brief description of the supplement project
• How the project relates to the Commons
framework
• Potential collaborative activities with other
Commons pilot projects (ref: to the projects’
abstracts and specific aims posted on Google
drive)
• Building the NIH Commons: foundation and
building blocks for the NIH to consider
Building the NIH Commons
B. Nolan Nichols NIH Commons Working Group 2016 19

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Implementing Semantics-Driven Data Exchange in Brain Science: the NCANDA Case Study

  • 1. Implementing Semantics-Driven Data Exchange in Brain Science: the NCANDA Case Study Nolan Nichols1,2 Arno Klein3 Russ Poldrack2 JB Poline4 Kilian M Pohl1,2 1SRI International 2Stanford University 3Sage Bionetworks 4UC Berkeley B. Nolan Nichols NIH Commons Working Group 2016 1
  • 2. The NCANDA Data Repository Data Analysis Component - Five sites across the USA - Total of 831 enrolled participants - Baseline, year 1, 2, and 3 follow-ups - Clinical/behavioral and imaging data - Limited data sharing plan B. Nolan Nichols NIH Commons Working Group 2016 2 T1 DTI rsfMRI ADNI/fBIRN Behavioral Data Imaging Data
  • 3. Scalable Informatics for Biomedical Imaging Studies (SIBIS) Curate and share data by coupling data release mechanism with AWS cloud ImportCollection Analysis Distribution Sharing Distribution B. Nolan Nichols NIH Commons Working Group 2016 3
  • 4. NCANDA Supplement Goals • Facilitate data sharing and exchange by developing standard terminologies, data models, and APIs in partnership with the neuroimaging community • Enhance the long-term sustainability of NCANDA by curating and distributing data with open standards • Extend the Neuroimaging Data Model (NIDM) to support imaging and cognitive measures B. Nolan Nichols NIH Commons Working Group 2016 4
  • 5. Scalable Informatics for Biomedical Imaging Studies (SIBIS) Archive and share data by coupling data release mechanism with AWS cloud ImportCollection Analysis Distribution Sharing Distribution B. Nolan Nichols NIH Commons Working Group 2016 5
  • 6. ImportCollection Analysis DistributionDistribution Augment primary data with the data exchange specification Neuroimaging Data Model (NIDM) and the Cognitive Atlas Ontology and the upload the Data Repository Synapse Scalable Informatics for Biomedical Imaging Studies (SIBIS) B. Nolan Nichols NIH Commons Working Group 2016 6
  • 7. Interoperability Supplement Overview B. Nolan Nichols NIH Commons Working Group 2016 7
  • 8. The NIDM Framework - Started in 2011, initially focused on reporting fMRI results - Extend NIDM to support Data Elements and Value Sets - Develop object models of clinical, cognitive, and imaging measures - Demonstrate usage of NIDM for distributing NCANDA datasets B. Nolan Nichols NIH Commons Working Group 2016 8
  • 9. B. Nolan Nichols NIH Commons Working Group 2016 9
  • 10. The NIDM Framework - Started in 2011, initially focused on reporting fMRI results - Extend NIDM to support Data Elements and Value Sets - Develop object models of clinical, cognitive, and imaging measures - Demonstrate usage of NIDM for distributing NCANDA datasets B. Nolan Nichols NIH Commons Working Group 2016 10
  • 11. How the project relates to the Commons framework NIH Commons Framework Relationship to the Commons B. Nolan Nichols NIH Commons Working Group 2016 11
  • 12. Potential collaborative activities Project Activity Han BD2K Center Capture NIDM Packages using BagIT Musen BD2K center - Incorporate BioPortal Value Sets and Common Data Elements into NIDM Experiment (or vise versa) - CEDAR Templates for NIDM Results (fMRI) Toga BD2K Center Usage of ARK Identifiers and BagIT Ohno-Machado iDASH Project Data Usage Agreements and Governance of NCANDA data in the Sage Synapse Platform Dumontier – smartAPI - Annotate NIDM API and/or Cognitive Atlas API using the smartAPI method - Document Clinical Data Management APIs Digital Object Compliance NIDM as a standard for neuroimaging digital object compliance B. Nolan Nichols NIH Commons Working Group 2016 12
  • 13. Building the NIH Commons • Consider Data Provenance a core element of Digital Object Compliance • Consider the PROVOne and Common Workflow Language standards • Define parts of the data management process covered by the Commons Poline et al. (2012), Frontiers in Neuroinformatics B. Nolan Nichols NIH Commons Working Group 2016 13
  • 14. Acknowledgements Data Analysis Component Weiwei Chu Kilian Pohl Torsten Rohlfing Yong Zhang Dongjin Kwon Alfonso Bonilla Dolf Pfefferbaum Data Sharing Task Force Satra Ghosh Chris Gorgolewski David Keator JB Poline Jessica Turner … and many others!B. Nolan Nichols Neuroinformatics 2015 14 National Institute on Alcohol Abuse and Alcoholism (NIAAA) and Office Of The Director, National Institutes Of Health (OD) NCANDA: Data Analysis Component 5U01AA021697, 3U01AA021697-04S1
  • 15. B. Nolan Nichols NIH Commons Working Group 2016 15
  • 16. Extra Slides … • Brief description of the supplement project • How the project relates to the Commons framework • Potential collaborative activities with other Commons pilot projects (ref: to the projects’ abstracts and specific aims posted on Google drive) • Building the NIH Commons: foundation and building blocks for the NIH to consider
  • 17.
  • 18.
  • 19. Building the NIH Commons B. Nolan Nichols NIH Commons Working Group 2016 19

Editor's Notes

  1. National Consortium on Alcohol and Neurodevelopment in Adolescence Neuropsychological test data
  2. National Consortium on Alcohol and Neurodevelopment in Adolescence Neuropsychological test data