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.

The ELIXIR infrastructure, with prominent contributions from BioData.pt (the Portuguese ELIXIR node) has been tackling this challenge at the European and international level, by developing standards and services to enable the management of plant phenotype-genotype data and its publication in accordance with the FAIR principles.

In this workshop, we will be presenting the outcomes of this work from the ELIXIR plant sciences community, featuring a keynote from one of its key members, Dr. Anne-Françoise Adam-Blondon (ELIXIR-France), a detailed tutorial about the design and usage of the MIAPPE (Minimum Information About Plant Phenotyping Experiments), a hands-on data annotation and publication session, and a demonstration of ELIXIR’s Plant Data Search service.

 

Program - 12th November

13h30: Keynote talk - The ELIXIR infrastructure for plant phenotyping-genotyping data management (Anne-Françoise Adam-Blondon, INRA)

14h30: Coffee-break

15h00: The plant phenotyping data standard MIAPPE v1.1 (Daniel Faria, IGC)

15h30: Hands-on session - Phenotypic dataset annotation

17h00: Coffee-break

17h30: Demonstration of the Plant Data Search Service (Bruno Costa, iBET)

 

Start date: 
2019-11-12
End date: 
2019-11-12
Location: 
Instituto de Tecnologia Química e Biológica António Xavier
Avenida da República
2775-412 Oeiras
Portugal
PT
Host organization: 
Event type: 
Workshops and courses