2025-02-19 An introduction to open research data

In the past years, the scientific community has become increasingly aware of the importance of "openness" in research. Open data is one aspect of this movement which focuses on making sure that data produced in a project are not only made accessible but also reusable. This course presents best practices in order to reach this goal.

Reiter

An introduction to open research data
In the past years, the scientific community has become increasingly aware of the importance of "openness" in research. Open research data is a main aspect of this movement, focusing on making all outcomes produced during research projects not only accessible but reusable, increasing their transparency, replicability and reproducibility. This course presents an introduction to open research data practices.
Course Objectives
  • Introduction to Open Research Data (ORD): Research Data Life Cycle;
  • Introduction to FAIR principles (Findable, Accessible, Interoperable, Reuseable);
  • Introduction to tools for reproducible research results (e.g., JupyterLab, GitHub and Zenodo Sandbox).
Target group
  • Students, Researchers and Staff of University of Bern
Prerequisites
  • Participants must bring own laptops
Methods
  • Each module will include theory and hands-on parts. 
Certificate
  • A certificate will be delivered to participants who have attended the whole training.
Coaches
  • Dr.-Ing. Federico Grasso Toro and Dr. Gero Schreier are Data Steward in the Open Science Team of the University Library of the University of Bern.
Time : 2025-02-19  09:00-17:00
Location : Room 220, Uni Mittelstrasse, Mittelstrasse 43
Online Participation: https://unibe-ch.zoom.us/j/66540484628?pwd=bUI2L2tjMDQ0M0lXNjNlS0NzQ252QT09
Training language: English
Participants : Max 25
Registraion : Mandatory
The Data Science Lab is there to boost your research by supporting you solving computing challenges. 
https://www.dsl.unibe.ch/