Analyse cohort data
Process and analyse the full range of physical, psychosocial and cognitive data that is available in the cohort studies which you are approved to access. By analysing the data in the virtual desktop you are working on DPUK's servers. The processing capacity enables you to work with large numbers of records and integrate these with the other data modalities that exist in the DPUK cohorts.
Brain scan data from the imaging centres across the UK are brought together in the DPUK imaging platform – a database for anonymised brain scans from the cohort studies. Use the cohort browser and participant browser tools to search the metadata and request access to brain images. Gain secure access to the imaging platform using your DPUK login credentials.
Imaging platform tools: cohort browser; participant browser.
The genetics platform enables you to work with the rich genetic information that is collected by many cohort studies. The data explorer tool allows you to select data according to criteria which you set, and which serve your particular research interest and study aim. Gain secure access to the genetics platform using your DPUK login credentials.
Genetics platform tools: data explorer tool; dataset tool.
The wearables platform stores and organises the realtime data that is collected from wearable and smartphone devices used in dementia studies, and will make these data available to approved researchers. It supports a breadth and depth of data collection from these devices and is due to come online in the data portal in 2018.
Sign up to the DPUK newsletter for updates on the wearables data platform.
Once you are approved to access cohort data, you will need to install VMware software on your computer to launch the analysis environment – a virtual desktop which is pre-loaded with a suite of analysis software. Within the virtual desktop, you can work with different data modalities together. The data remains on the DPUK servers throughout; only results, outputs and scripts are permitted to be removed.
Virtual desktop tools: R; SPSS; SAS; Stata; WinSQL; SQL Management Studio; Perl; Haploview; PLINK; PRSice; Python. You also have the ability to upload your own software to the analysis environment if required. Contact Chris Orton for more information.