Daniel Arend (GCBN)
19th November 2020, 10:00 a.m. – 11:30 a.m.
In the context of a growing global demand for food and feed the need for improved crop yield and the identification of more efficient and better adapted crops to answer the world's growing population is an important driving force for high-throughput plant genotyping and phenotyping studies which comprise comprehensive and data-intense experiments. As formulated in current funding policies, research data should be published under consideration of the FAIR (findable, accessible, interoperable, and reusable) data principles. Contrarily, they remain frequently unpublished due to organizational reasons or missing infrastructures. Therefore, the reproducibility and the preservation of research data depend on the scientists or the journal to which they want to publish their results. The eDAL-PGP repository provide a powerful infrastructure to easily share and publish comprehensive and cross-domain plant research data.
The major goal of this trainings course is to get a general understanding how to publish plant research data that do not fit into the scope of existing databases in a FAIR way by using the eDAL-PGP repository.
The training course is designed for early career scientists such as PhD students and postdocs, but also for experienced scientists who want to learn more about the analysis and handling of sequence data for complex plant genomes like barley.
FAIR research data, Digital Object Identifier, Research Data Publication, Genomics, Phenomics
e!DAL-PGP - http://edal-pgp.ipk-gatersleben.de/
Daniel Arend (