AMYPAD has generated a large amount of high value data for the research community. In order to facilitate research collaboration within AMYPAD and to support external researchers, data set releases will be made available via collaborative workspaces.  These data set releases will only include de-identified and cleaned data.


AMYPAD Diagnostic and Patient Management Study (DPMS)

Recruitment of the DPMS  has been ended in October 2020. After study termination, the AMYPAD-DPMS data will be stored on a consultation and archive portal following the FAIR principles, and will be made available upon request.


AMYPAD Prognostic and Natural History Study (PNHS)

On the 30th of April 2022 the recruitment was formally ended and the study succeeded in recruiting 1,321 participants. The final scans were performed in July 2022.

The first internal data-release of PNHS data was shared within the consortium in November 2021 via the Alzheimer’s Disease (AD) Workbench of the Alzheimer’s Disease Data Initiative (ADDI). This dataset is based on the information collected and processed until the 31st of October 2021, and includes data from 668 participants at baseline and follow-up visits, with a wide range of cognitive, clinical, and neuroimaging variables.

A final version of the dataset was integrated and harmonized before the end of the project and includes all available data, both imaging and non-imaging, from the different Parent Cohorts. This final dataset will become available internally across the consortium by the end of 2022. The first public release is planned for the first quarter of 2023, and will allow researchers from outside the consortium to request access to the data collected in the PNHS.

The AMYPAD PNHS data will be accessible to researchers via the AD Workbench from ADDI following the FAIR principles:

Download the Data Dictionary or all data collected and shared by the Parent Cohorts of AMYPAD PNHS here. This document will be updated regularly to reflect latest composition of Parent Cohorts in the study, and in the future will include details on the harmonization of variables across cohorts.