FAIR is not just a Life Sciences hobby. We want to stretch out the concept to a variety of disciplines. Come and discuss this with us in this hands-on session.

This is a course for researchers working with qualitative research material and willing to explore how FAIR (Findable-Accessible-Interoperable-Reusable) could perhaps fit their work. The course will be informative but also hands-on and practice base.​

The course covers the basics of FAIR practices and helps qualitative researchers to think if and how far the FAIR principles could be applied to their work. The course is a co-constructive exercise, so your work and active participation will be key to keep designing the course.

Learning objectives:

Theoretically discuss FAIR and its possible limits for non-machine readable research data.

In breakout rooms look into FAIR repositories with qualitative data and constructively be critical to the researcher’s approaches in terms of becoming findable and accessible.

We will use a real case scenario to explore how interoperability and reusability can become useful aids while working with teams of qualitative researchers.

Target group: 

Researchers at Maastricht University Working with Qualitative Data

Language: English

Pre-requisites: Researcher at Maastricht University
When: 8 March 2022, 9.00 am – 14.00 pm

Maximum number of participants: 15

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About this post 

• Author:Maria Vivas Romero [icon name=”envelope-o” class=”” unprefixed_class=””]
• Categories: Research Data Management news & events
• Keywords: Event, RDM
• Publication date: 4 February 2022 | Last updated: 7 February 2022
• Source: RDM Services
• License: CC-BY 4.0