Graduate School VMAS


Reproducibility in Research with a focus on data analysis using the program R, 2 credits

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.

  • Definition of reproducibility
  • Creating reproducible results in R
  • Databases for data storage
  • Public databases for sharing of information
  • Preparation of packages in R
  • Course evaluation
  • Extent:
    2 credits

    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’.

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    Course leader
    Lars Rönnegård
    Course date
    October 21 - 25, 2024
    Last application day