Webinar Summary

Data reuse by human and software agents is often hampered by datasets scarce annotation and the omission of key descriptive information. Meta-analyses often require extensive manual curation to accurately interpret tables of results, as made available from publication supplementary materials or from ‘analysed data’ deposited in the relevant archives.

Following the analyses of such materials, in the context of frequently used analytical methods, we will be presenting practical guidance to produce FAIR by design outputs. Using off the shelf tools (Frictionless Data) and semantic resources (STATO), this webinar will detail the transformation process and gains afforded by this approach [1]. We will also discuss how extensions to the semantic framework were made to accommodate more complex cases [2].
[1]. https://doi.org/10.1038/s41597-019-0286-0
[2]. https://doi.org/10.1038/s41597-020-0409-7

About the Speaker

Philippe Rocca-Serra is an Associate Member of Faculty, at the Oxford e-Research Centre, Department of Engineering Science, at the University of Oxford since 2010, where he focuses on activities supporting open data and open science. Before that, based at the EMBL European Bioinformatics Institute (EBI), he established the ISA framework to support the reporting of multi-omics data and which underlies Metabolights, the European repository for Metabolomics data. As part of the OBO foundry, he also works with the community to develop semantic resources to improve data reporting. More recently, as part of the FAIRplus IMI funded project, he is coordinating the creation of guidance on FAIR data and FAIRification processes.

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