Browsing, discovering and organising life sciences training resources, aggregated from ELIXIR nodes and 3rd-party providers.
An API is available (json api): https://tess.elixir-europe.org/about/developers#api (also Swagger available)
|Best practices in research data management and stewardship||
This two-day course (27 and 28 May, 2020) is aimed at project managers, researchers and graduate students in the biomedical sciences who wish to improve their skills on data handling. The course will introduce the concepts of the FAIR principles for data, the concept and implementation of data stewardship as well as practical aspects of day to day data management and data management plans, which are required in many grant applications.
|Research Data Management in Life Sciences||
Upon completion of this course, participants should have an understanding of what Research Data Management is, and why it is important in academic research. They should have an understanding of the FAIR data principles, and how they can make data more FAIR. They should be able to successfully manage all types of research data and to document both the research itself, as well as the data in a comprehensive way.