Date: 8 September 2020 / 13:30 (UTC)

Fee: free

Venue: Researcher Academy

Duration: 45 - 60 minutes

Language: English

Description

Findable, Accessible, Interoperable and Re-usable - The FAIR Data Principles. Likely you’ve heard about FAIR, but do you know how it can support you and your own research?

The main objective of this "It's Not FAIR! Improving Data Publishing Practices in Research" module series is to introduce you to each of the FAIR data principles and discuss practical approaches that you can take to help make your research data FAIR for the wider research community. In collaboration with experts, this series provides insights on FAIR and discuss ideas to make research FAIR.

This module focuses on the second principle - Accessibility. After watching this module, you will get the theoretical, infrastructure and researcher's perspectives to the principle of Accessibility. Other modules in this series include: Findability, Interoperability and Reusability. 

Information on the Trainers

Katarzyna Biernacka is a researcher at the HEADT Centre and a doctoral candidate at the Computer Science Department at Humboldt-Universität zu Berlin. She investigates the presumed conflict between the publication of research data and the issues of data privacy.