Theme: Linking Data
Today, research generates more data than ever, and a multitude of experimental data types. Such data types are often connected at source: perhaps generated from the same samples or as part of the same study. It is important that different data types are made available for re-use in a linked and coordinated manner, enabling full reuse of all the data in integrated analysis. Experimental data types are often siloed in varied specialised repositories, using different metadata models, so linking them is not straightforward. Also, data obtained from living humans is sensitive and shared under a controlled access model, adding an extra layer of complexity.
In this project, partners will establish a strong foundation for developing solutions to integrate multi-omic sensitive data effectively among FEGA nodes, biobanks and ELIXIR Core Data Resources such as PRIDE and GWAS Catalog. Five ELIXIR Nodes will be involved, as well as the Polish FEGA node (in-kind contribution) from two ELIXIR Communities (Federated Human Data and Proteomics), spanning three diverse data use cases to address the challenges of this open call.
The project will start by developing a comprehensive landscape analysis of current human data linkage challenges and solutions (Task 1). Based on this, concrete models and prototypes will be proposed to link sensitive proteomics data (Task 2), cohorts and biobank data (Task 3), and population cohort-derived data (Task 4) to genomics data. Results from tasks 2 to 4 will be used to improve the FEGA metadata model. The project will result in more coherent data deposition, discoverability and retrieval of multi-omics datasets, providing FAIRer data, and accelerating research. To facilitate broad engagement, the project will engage the ELIXIR Communities through dedicated online and in-person events, where both interim and final results of the project will be disseminated.
