Introduction to Data Management Practices
Course name: Introduction to Data Management Practices
Dates: 2023-10-17 to 2023-10-19
Uppsala University, SciLifeLab, BMC, Husargatan 3, Uppsala.
Chalmers University, Hörsalsvägen 2, Göteborg
This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises, and is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data. The course will also be provided as a split event at Uppsala University and Chalmers University where lectures and workshops are streamed from one location to the other, and vice versa.
Topics covered will include:
- Open Science and FAIR in practice
- Organising data, files and folders in research projects
- Describing data with metadata
- Publishing data to public data repositories
- Cleaning tabular data and metadata with OpenRefine
- Writing basic recipes for data analysis and visualisation with R
- Versioning data, documents and scripts
- Writing Data Management Plans
At the end of the course, students will be able to:
- Describe some reasons for the principles of Open Science and FAIR
- Organise their project files and folders in a structured way
- Find, and select, relevant metadata standards for their research project
- Find suitable public repositories for life science data, and have an understanding of requirements for submitting data to them
- Clean up existing tabular data
- Perform basic version control of files, and have means to learn more advanced skills
- Perform basic data analysis and visualisations in R, and have means to learn more advanced skills
- Have an understanding of the benefits of data management plans (DMPs), and what a DMP should contain
National course open for PhD students, postdocs, researchers and other employees within all Swedish universities. The course is geared towards life scientists wanting to take the first steps towards a more systematic and reproducible approach to analysing and managing research data. Due to limited space the course can accommodate a maximum of 25 participants per site (Uppsala and Göteborg). If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.
Fee: 2000 SEK paid by invoice to NBIS. This includes lunches, coffee and snacks. Please note that NBIS cannot invoice individuals.
No previous programming experience is required but you are required to bring your own laptop with the required software pre-installed. Installation instructions will be provided before the course starts.
Application is open now
Application closes: 2023-09-27
Confirmation to accepted students: 2023-09-29
Link to application: https://forms.gle/5CZyys9UG1vKBuXb6
The syllabus page shows a table-oriented view of course schedule and basics of course grading. You can add any other comments, notes or thoughts you have about the course structure, course policies or anything else.
To add some comments, click the 'Edit' link at the top.