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UZH Healthy Longevity Center (HLC)

Healthy Longevity Longitudinal Data Valorization (DATAVAL)

Group Leader: Dr. Susan Mérillat

Overview

DATAVAL provides efficient, sustainable and secure longitudinal data and analysis management and facilitates the individual components of the complete data lifecycle providing interfaces for data injection, a normalization and contextualization framework and scalable transformation pipelines to serve longitudinal data augmentation and advanced analytics applications. In line with the paradigm shift towards a contextualized person focus – proposed by the World Health Organization (WHO) – DATAVAL prepares the (data) grounds for the development of context aware decision support systems, which will then advance individualized, just-in-time, contextualized interventions (from “one size fits all” towards “the right size for the right person at the right time”).

Applied Research and Innovation Potential

DATAVAL creates innovations and business opportunities around the curation and integration of longitudinal, multi-domain, multi-source data streams within individual data accounts (IDA). In line with the paradigm shift towards a contextualized person focus – proposed by the World Health Organization (WHO) – the group aims to prepare the (data) grounds for individualized, just-in-time, contextualized interventions (from “one size fits all”-research and innovation towards research and innovations for “the right size for the right person at the right time”).

Data Access and Exchange

DATAVAL is developed around state-of-the-art longitudinal, multi-domain datasets acquired during the last decade from healthy older individuals. Such datasets include measures of brain structure and function as well as ability and activity indicators and context information.