New Publication: A profile of the Grampian Data Safe Haven, a regional Scottish safe haven for healt

New Publication: A profile of the Grampian Data Safe Haven, a regional Scottish safe haven for healt

The International Journal of Population Data Science (IJPDS) has published an article, showcasing the Grampian Data Safe Haven (DaSH) as a case-study example of a local Trusted Research Environment (TRE).

A new publication has been published within the International Journal of Population Data Science (IJPDS), which discusses the infrastructure, processes, and operating model of the Grampian Data Safe Haven (DaSH) to highlight the value of local Trusted Research Environments (TREs). 

DaSH is a local Trusted Research Environment (TRE) within Aberdeen, Scotland, allowing secure linkage and processing of health care, social care, and population data for research when obtaining individual patient consent is not practicable. Now in it's 10th operating year, DaSH has registered nearly 600 projects with more than 200 distinct research projects faciliated with data hosting, extraction, and linkage. 

Over the years, DaSH had enabled researchers to access both local (Grampian), and national (Scotland-wide) data, as well as linking to UK-wide or international datasets. While allowing access to data, DaSH works within the Five Safes Framework (Safe People, Safe Projects, Safe Data, Safe Settings, and Safe Outputs) to ensure patient data is protected and non-disclosive.

Read the full article here.

Find out more about DaSH here.

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