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Webinar GCBN

Webinar about PGP

Many of the published high-throughput phenotyping studies used imaging based methods to derive plant traits in a quantitative, non-invasive, and reproducible manner. However, most of these studies do not give access to raw and result image datasets in the context of experimental metadata. According to the FAIR data management principles, the availability of and sustainable access to imaging datasets is one of the key criteria in the scientific value chain. Supported by the IPK Gatersleben, we herewith announce as pilot the free use of the “Plant Genomics and Phenomics” (PGP) (Arend et al., Database, 2016) data repository as a service for IPPN and EMPHASIS partners to publish comprehensive data sets derived from imaging-based, high-throughput phenotyping experiments. The PGP scalable infrastructure enables the sharing and publishing (imaging) of datasets in the range of up to several gigabytes and fulfills the data publication policies of relevant scientific and data journals as well as funding agencies. PGP enables the assignment of permanently citable DOIs for supplemental datasets or standalone data publications. Examples of PGP-published phenotyping experiments are datasets from high-throughput plant phenotyping platforms at IPK (http://dx.doi.org/10.5447/IPK/2016/7) and FZJ-Jülich (http://dx.doi.org/10.5447/IPK/2017/10).