interconnect
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 |
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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