Initiative / interconnect

interconnect
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interconnect

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Studies 0
The aim of interconnect is to develop a global data access and results sharing’ network that enables existing data to be readily used in cross-cohort analyses to understand population differences in the risk of diabetes and obesity.
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Members

Investigators Contacts
  • Prof. Nick Wareham
    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE

General Information

Year created
2013
Types of cohorts
  • Population cohort
  • Patient/disease cohort
Region
Europe, America, Australia, Asia, Africa
Setting
International
Funding
EU FP7
Criteria of cohort's to be included
Cohort studies with information of diabetes and obesity.
Socio-environmental context
  • NA

Participants

Number of participants

Total
1,000,000
With harmonized data
1,000,000

Methodology for harmonization and integration

Strategy of harmonization
Ex-post
Data processing methods
  • Algorithmic
  • Standardisation
    • Type of infrastructure
    Some centrally, other locally
    Integrative data analysis
    • Meta-analyses
    • Federated analyses
    Software
  • OBiBa (Opal/Mica)
  • DataSHIELD

    • Number of cohorts

    Total
    43
    With harmonized data
    43
    Will more cohorts be harmonized?
    Number of harmonized variables (max.)
    100

    Access

    Availability of metadata
    Under request
    Availability of individual data