Plants

Plant Phenotyping-Genotyping Data Management Workshop

Plant phenotyping research has gone through a data revolution with the automation of plant phenotyping platforms, making it critical to adopt good data management practices in order the exploit the torrent of data to its full potential. Concretely, data should be published in a Findable, Accessible, Interoperable and Reusable (FAIR) way in order to enable the integration of data from disparate sources and the discovery of new knowledge. Yet, this is one of the more challenging domains to standardize, as it is extremely heterogeneous in terms of experimental settings and types of data.

Plant Data Hackathon

Motivation and Scope
During the Barcelona all hands meeting we have committed to prepare a procedure and example on how to use Google Spreadsheets to record and standardise data in WP7.
Our idea is to guide the ateendees in the procedure that we have devised, and enable them to work on their data using a tool (OntoMaton) to facilitate searching for terms in Bioportal Ontologies.

Plant Experimental Assay Ontology (PEAO)

The Plant domain has been the subject of several attempts to structure and formally define terms and corresponding relations, such as their anatomical features, developmental stages, and the application of particular experimental procedures to a biological problem. However, a focus on experimental assays in order to describe the whole experimental procedure, to the best of our knowledge, has only been attempted in the context of a very general description based on classical views of the scientific method.

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