Introduction to Data Management Practices

Introduction to Data Management Practices

Course name: Introduction to Data Management Practices
Dates: 2022-10-11 to 2022-10-13
Location: SciLifeLab Solna, Tomtebodavägen 23 A
Contact: edu.intro-dm@nbis.se

This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

Note: We follow the recommendations and guidelines from Swedish authorities and Folkhälsomyndigheten. The course is designed to be an interactive face-to-face event. However, we follow the situation carefully and will deliver the course online if needed.

 

Course content


Topics covered will include:

  • Open Science and FAIR in practice
  • Organising data, files and folders in research projects
  • Versioning data, documents and scripts with Git
  • Describing data with metadata
  • Cleaning tabular data and metadata with OpenRefine
  • Submitting data to public data repositories
  • Writing basic recipes for data analysis and visualisation with R

 

Learning outcomes


At the end of the course, students can:

  • Describe some reasons for the principles of Open Science and FAIR
  • Find, and select, relevant metadata standards for their research project
  • Organise their project files and metadata in a structured way
  • Clean up existing tabular data
  • Find suitable public repositories for their data, and have an understanding of how to do submissions them
  • 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

 

Application instructions


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. 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: 1500 SEK paid by invoice to NBIS. This includes lunches, coffee and snacks. Please note that NBIS cannot invoice individuals.

Entry requirements:

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 closed: 2022-09-09

Confirmation to accepted students: 2022-09-13

Link to application: https://forms.gle/pRFDsqPZfC3Fufud9

 

Course staff


CC attribution share alike This course content is offered under a CC attribution share alike license. Content in this course can be considered under this license unless otherwise noted.