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PVG0038
Reproducibility in Research with a focus on data analysis using the program R
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
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
Syllabus and other information
Syllabus
PVG0038 Reproducibility in Research with a focus on data analysis using the program R, 2.0 Credits
Subjects
BiologyEducation cycle
Postgraduate levelGrading scale
Pass / Failed
Prior knowledge
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’.Objectives
After completing the course the student shall be able to - Describe why reproducibility of research is relevant and which tools can be used to ensure reproducibly - Produce reproducible outputs from analysis of data in R - Use information from public databases - Use appropriate databases to store data in a way that they can be reproduced by others - Describe how public databases can be used to share and store tutorials and methods - Create packages in R for public useContent
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 evaluationAdditional information
Students should bring own laptops for the exercises; students are encouraged to bring own data for analysis.Responsible department
Department of Animal Breeding and Genetics