NCI Office of Data Sharing (ODS) Data Jamboree (Abstract Submissions): Submission #41

serial: '41'
sid: '145273'
uuid: e3c93020-4ccd-4e9c-87e2-7106df727322
uri: /nci/ods-data-jamboree/abstractsubmissions
created: '1750780007'
completed: '1750780034'
changed: '1750862165'
in_draft: '0'
current_page: ''
remote_addr: 10.208.28.5
uid: '0'
langcode: en
webform_id: nci_office_of_data_sharing_abstr
entity_type: node
entity_id: '2107'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  category: 'Methods to enable data interoperability'
  degree_s_: 'MS. Electrical and Computer Engineering'
  email: wardming@nih.gov
  first_name: Minghong
  keywords_abstracts: 'dbGaP, FHIR, DRS, Cloud-computing, Interoperability'
  last_name: Ward
  middle_initial: ''
  organization: NLM/NCBI
  organization_address:
    address: ''
    address_2: ''
    city: BETHESDA
    country: ''
    postal_code: ''
    state_province: ''
  other_please_specify_: ''
  summary: 'The NIH’s database of Genotypes and Phenotypes (dbGaP) includes data from 3,000+ studies across 800 diseases/focuses, involving 4 million participants and 450,000+ phenotype variables. dbGaP has supported over 8,000 publications.  As researchers increasingly rely on cloud platforms to conduct cross-study analysis, both interoperability and ease of access are urgently needed. We developed FHIR (Fast Healthcare Interoperability Resources) API for dbGaP to deliver both open-access and controlled-access dbGaP data via FHIR. The open-access API provides programmatic access to study metadata, enabling researchers to discover relevant datasets for data discovery. Controlled-access API deliver over 1.1 billion phenotypic observations and molecular sequence files through persistent URLs using the GA4GH Data Repository Service (DRS), another global standard. We will show how a simple Python script in a Jupyter notebook can perform phenotype-driven statistical analysis across multiple datasets and repositories using the FHIR API. This approach enhances data reuse, facilitates cohort building, and helps accelerate reproducible research at scale.'
  title: 'Product Owner for dbGaP FHIR Product'
  ttile: 'Making dbGaP data interoperable and analysis-ready with FHIR and DRS API'
  upload_abstract: '65622'