This project will be led by the ELIXIR Proteomics Community in collaboration with members of the Metabolomics Community and three ELIXIR platforms. High-throughput proteomics has become a popular choice in biological, biomedical and clinical studies and led to the development of hundreds of bioinformatics tools and data analysis pipelines. Given their large diversity, there is a urgent need to compare and benchmark different software pipelines over a large data spectrum.

Recent progress in sequencing technologies has produced several large scale genotyping data sets for crops. The insights afforded by this data have been published in high profile scientific articles, but the underlying raw genotype data and the associated sample and population metadata have not been routinely submitted to appropriate archives.

The FAIR Principles lay out the generalisable framework that can be applied to a wide range of data integration supporting exercises: software development, hardware implementation, best-practice guidelines, or data management planning.

This Metabolomics Community-led project on the standardization of fluxomics workflows aims at:

As data analysis is now common place in life sciences, we need to develop scalable ways to develop and share analysis workflows and train researchers to make use of them. The latter entails an end-to-end approach from access to data over selection and proper usage of the appropriate workflow and deploying this on available (cloud) resources.