ELIXIR node event Introduction to Data Management Practices

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Description

The Introduction to Data Management Practices course will cover key aspects of research data management through lectures, demonstrations, and hands-on computer exercises. This course is intended for researchers who want to take the first steps towards a more systematic and reproducible approach to documenting, describing and managing research data.

Topics covered will include:

  • Open Science and FAIR in practice
  • Organising data, files and folders in research projects
  • Describing data with metadata
  • Documentation using Markdown
  • Publishing data to public data repositories
  • Cleaning tabular data and metadata with OpenRefine
  • Versioning data, documents and scripts (e.g. by using Git & GitHub)
  • Writing Data Management Plans

Upcoming Training Instances

Introduction to Data Management Practices

April 13, 2027 09:00 – April 15, 2027 17:00

Organizer: NBIS

Location: Solna, Sweden

Details

Language
English
Licence
Creative Commons Attribution 4.0 International
Affiliations
SciLifeLab
Course Website
https://nbis.se/training/introduction-to-data-management-practices
Last Updated
October 26, 2026 10:37

Content Providers

NBIS

https://nbis.se

Learning Outcomes

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 the 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
  • Have an understanding of the benefits of data management plans (DMPs) and what a DMP should contain

What Participants Are Saying

"This course provided me with invaluable insights into managing my research data effectively!" - Participant Fall 2024

“Great course - should be made compulsory for as many students/PhD students/researchers as possible.” Participant Spring 2026

"The hands-on exercises were practical and easy to follow. Highly recommended!" - Participant Fall 2024

“This course should be mandatory for all new PhD students, and PIs too.” -Participant Spring 2025

“This course opens up a new world. A large world, like a maze. But the course provides some sort of map.” - Participant 2021

Structure & Duration

3 days on-site in different locations each year

Prerequisites & Technical Requirements

Prior Knowledge

No prior knowledge is required

Technical Requirements

No prior programming experience is required, but you must bring your own laptop with the required software pre-installed.

Audience & Keywords

Target Audience
PhD studentspostdocsresearchersemployees within all Swedish universities
Keywords
Data ManagementFAIRMetadataData Management planData organizationData repositoriesOpenRefine

Course Team

Authors
Contributors
  • Data Management Team-NBIS
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