Further Resources

• Edit checks This documents outlines some edit checks to perform before analysing your linked data

REporting of studies Conducted using Observational Routinely-collected Data (RECORD) is an international collaborative which will develop reporting guidelines for studies conducted using routinely-collected health data (such as health administrative data, electronic medical record data, primary care surveillance data, and disease registries).

RECORD Guidelines

The combined protocol application form requests a flow chart of your data linkage. 

Below are some templates for you to use. These are just guides, as each linkage will be different. 

External cohort(s) where CHeReL receives identifiers only

External cohort(s) where CHeReL receives identifiers and content data

External Cohort(s), Cross jurisdictional – IDs and Content to CHeReL

External Cohort(s), Cross jurisdictional – IDs only

MLK defined cohort(s), linked to CHeReL data only

MLK Defined Cohort(s), with IDs and Content to External Data Linkage Facility (e.g. AIHW / ABS)

MLK Defined Cohort(s), with IDs to External Data Linkage Facility (e.g. AIHW)

For some additional information on what to look out for in you CHeReL application for linked data we have prepared a Tips and Tricks and document found HERE

The Population Health Research Network (PHRN) has developed a series of resources for those who would like some general information about data linkage.

The PHRN offer a free online course designed to help researchers better understand linked data and navigate the access and approval process. Please find the course at the following link: PHRN Training.

 The PHRN Data Linkage page also contains useful resources such as:

• An introductory video and fact sheet on applying for linked administrative data
• A fact sheet explaining Data Linkage
• A fact sheet on Protecting Privacy
• Tips for preparing a strong data linkage application