New PREDICTOM project website and Data Catalogue

22/11/2024

The PREDICTOM project recently announced the launch of their Data Catalogue, accessible on the new project website (www.predictom.eu). The website offers a wide range of information and resources, which are interesting for people from the general public as well as for members of the re-search community. A particular section that may be of interest for members of the public might be the "Public and Participant" section, which provides essential information on Public Involvement and Participant Recruitment. This includes details about various Public Involvement groups, such as Alzheimer Europe’s Public Involvement Pool (PI Pool). The PI Pool is an online com-munity of individuals from across Europe and by joining the mailing list, members can get informed about opportunities for involvement in European research projects focused on dementia and brain health. Moreover, people with a keen interest in joining the PREDICTOM study as participants can check their eligibility by reviewing the participation criteria on the website and finding out more about how to become a participant. The Data Catalogue (https://www.predictom.eu/resources) will be especially useful for researchers. The catalogue was designed based on the FAIR principles: 

• Findable 

• Accessible

 • Interoperable

 • Reusable.

The PREDICTOM team aims to ensure that everyone who could benefit from this open resource can easily find it, explore the datasets, and build upon the research. Collaborative research environments like this one hold great value, as they can lead to discoveries that might otherwise go unnoticed. PREDICTOM is supported by the Innovative Health Initiative Joint Undertaking (IHI JU), under Grant Agreement No 101132356. JU receives support from the European Union’s Horizon Europe research and innovation programme, COCIR, EFPIA, EuropaBio, MedTechEurope and Vaccines Europe. The UK participants are supported by UKRI Grant No 10083467 (National Institute for Health and Care Excellence), Grant No 10083181 (King's College London), and Grant No 10091560 (University of Exeter). University of Geneva is supported by the Swiss State Secretariat for Education, Re-search and Innovation Ref No 113152304. See www.ihi.europa.eu for more details.