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Additional datasets

The CHeReL regularly links additional datasets that are not routinely contained within the Master Linkage Key.  More than 100 additional datasets have been linked ranging from public laboratory, toxicology and screening data, to administrative data from other sectors such as transport, justice, community services and primary research data collections of cohort or trial participants.

This section of the website is being includes information about a small number of these datasets, with metadata where available. 

Please contact us for further information about any additional datasets.


The Blue Mountains Eye Study

The Blue Mountains Eye Study (BMES) is a large population-based assessment of visual impairment and common eye diseases of a representative older Australian community sample. The data collection also contains information on hearing,  general health (e.g. diet, blood measures, BMI, diabetes, vascular risk factors, family history) and standardised functional measures (cognitive, ADL, HRQoL, and other instruments).

NSW Cancer, Lifestyle and Evaluation of Risk (CLEAR) study

The NSW CLEAR Study is a large scale epidemiological data and bio-bank for all adult cancers.

NSW Register of Congenital Conditions

The NSW Register of Congenital Conditions (formerly known as the NSW Birth Defects Register) is a population-based surveillance system established to monitor congenital conditions detected during pregnancy or at birth, or diagnosed in infants up to one year of age.

The Hunter Community Study

The Hunter Community Study (HCS) is a cohort study of older Australians (aged 55-85) living in the Hunter Region of NSW. Demographic, clinical and biochemical (blood test) information has been collected from the participants between 2004 and 2008

Australian Longitudinal Study on Women's Health

The Australian Longitudinal Study on Women's Health (ALSWH) is a national longitudinal study of three birth cohorts of women (1973-1978, 1946-1951, 1921-1926) which collects information on women's health and well-being to inform policy makers at state and federal level

Other external datasets

For all other external datasets, please complete an external dataset variable list.

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