DataSHIELD » About » Who uses DataSHIELD?
EUCAN-CONNECT: Developing a federated FAIR platform enabling large-scale analysis of high-value cohort data connecting Europe and Canada in personalized health. Involves several European population-based cohort studies with ~2.5M participants in total.
RECAP preterm: Research to improve to health, development and quality of life of babies born preterm. Includes 20 population-based cohort studies from Europe.
LifeCycle: to develop new strategies for optimizing early life that will help to maximize the human developmental potential for current and future European generations.
GESA (GEnder-Sensitive Analyses of mental health trajectories and implications for prevention) Grant Number: BMBF FKZ 01GL1718A.
MIRACUM (Medical Informatic in Research and Care in University Medicine) Grant number: BMBF FKZ 01ZZ1801B.
InterConnect (MRC Epidemiology Unit, Cambridge) InterConnect is developing a global collaborative network for diabetes and obesity research, piloting DataSHIELD to facilitate a new approach to data sharing that is secure, scalable and sustainable. This includes data from 7 studies including ALSPAC.
the BioSHaRE-EU Healthy Obese Project for the federated analysis of ten European studies including data from the National Child Development Study.
the BioSHaRE-EU Environmental Core Project for the federated analysis of data from six European studies including UK Biobank.
ENPADASI (German Institute of Human Nutrition) will pilot DataSHIELD to deliver an open access research infrastructure that will contain data from a wide variety of nutritional studies, ranging from mechanistic/interventions to epidemiological studies including a multitude of phenotypic outcomes that will facilitate combined analyses in the future.
SPIRIT (University of Sherebrooke) intra-uterine determinants of child health and development and on perinatal health services in Quebec, Canada (3 studies) and Shanghai, China (1 study).
BRISSKit (University of Leicester) integrated DataSHIELD with i2b2 data warehouse for biomedical data.
ARDC England (University of Southampton) and ARDC Wales (University of Swansea).