Date: 11 - 13 October 2022

Timezone: Stockholm

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National course open for PhD students, postdocs, researchers and other employees within all Swedish universities. 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.

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 objectives:

  • To get acquainted with, and reflect upon, the principles of Open Science and FAIR
  • To understand the importance of metadata, and how it affects “FAIRness”
  • To learn how to organise files to make project work more efficient
  • To learn to clean up messy tabular data and metadata
  • To learn how to find, and submit to, relevant public repositories for data publication
  • To learn to apply simple version control practices on files
  • To learn to start using R to analyse data

Contact: edu.intro-dm@nbis.se

Keywords: Data management plan, data publication, storage, DMP, data quality, metadata, data organisation, data management

Venue: SciLifeLab - Air&Fire, Tomtebodavägen 23 A

City: Stockholm

Region: Stockholm

Country: Sweden

Organizer: NBIS

Host institutions: NBIS, SciLifeLab

Eligibility:

  • Registration of interest

Target audience: Researchers, PhD candidates, Support Staff

Capacity: 25

Event types:

  • Workshops and courses

Cost basis: Cost incurred by all


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