The resource consists of data up to 2016 encompassing more than 10 million adults with 400 million person-years of follow-up, disease and risk factor phenotyping algorithms, methods, tools and scripts, specialised infrastructure and training and support.
10m people, 400m person years follow-up
- General practice, hospital inpatient, outpatient and A&E data and mortality data up to March 2016
- Diagnoses of all diseases including rare Mendelian and syndromes
- Clinical examination findings (e.g. blood pressure, weight, height)
- Blood laboratory results
- Prescriptions and vaccinations
- Primary care consultations and hospitalisations
- Cause of death
Methods and Tools
- Structured approach to develop and validate phenotyping algorithms
- Central online repository for the storage and distribution of algorithms, documentation and metadata
- ISO27001 compliant data safe haven environment
- High performance computing platforms to support computationally intensive research
Training and Support
- Specialist training to equip researchers with the skills and knowledge to code and analyse large, linked datasets
- Data safe haven and information governance
CALIBER operates a collaboration-driven data sharing model and promotes the transparent and scalable use of EHR data for research. We work alongside academic, National Health Service and commercial partners to facilitate collaboration and use of the CALIBER platform, including access to linked data from the Clinical Practice Research Datalink (CPRD) for research, from development of research proposals through to release of data in the CALIBER data safe haven.
Click below for details about the CALIBER platform and access to the data portal and tools
Data Resource Profile
Information about the CALIBER platform
Electronic health record phenotyping algorithms
Tools and scripts for manipulating electronic health records
CALIBER has research ethics approval (09/H0810/16) and ECC approval (ECC 2-06(b)/2009 CALIBER dataset) and initial funding was provided by the Wellcome Trust (086091/Z/08/Z) and the National Institute for Health Research (RP-PG-0407- 10314).