The course consists of five half-day meetings with lectures, computer
exercises and discussions. In addition the students are expected to do
individual work in between meetings.
Aspects that will be covered will include the general question on how
reproducibility is defined and why it is needed, including good
scientific practice and requirements for scientific publication and
funding bodies. Basic concepts will be covered as well as tools to ensure
reproducibility during the analysis of experimental data using R as well
as the use of public databases to access data and store information.
Presentations of applications as well as exercises and discussions will
help participants to make their research results reproducible in the
future.
Extent:
2 credits
Prerequisites
Admitted to a postgraduate program in animal science, biology, veterinary
medicine, food science, nutrition, nursing, or related subjects, or to a
residency program in veterinary science. Knowledge in using program ‘R’.