Daniel Arend, Matthias Lange (GCBN-IPK)
Rothamsted Research, Harpenden, UK (Pre-Meeting of the IB 2018)
The workshop focuses on the practical application of research data management principles and will give an overview of the FAIR recommendations, infrastructures, repositories and metadata standards. During a practical software demonstration the participants will gain insights into to the establishment and use of the e!DAL infrastructure API. The need for managing research data especially in the plant phenotypic data domain will be a central topic of this course.
The aim of the workshop provide an overview to research data management and publication. Based on the exemplar of plant phenotyping data, participants get insights into strategies and pitfalls to implement FAIR principles. Based on the e!DAL software stack, we will demonstrate methods to support in-house data storage that meet the FAIR principles - findable, accessible, interoperable, and reusable.
The training course is designed for early career scientists who need to get an overview of methods to store, archive and publish research data and learn more about the advantages of sharing their data with the scientific community. Basic knowledge in Web technologies, Linux CLI, and JAVA would be beneficial.
FAIR principles, research data management, research data publication, Digital Object Identifier
Matthias Lange (
Daniel Arend (