Make your data interoperable - It's Not FAIR! Improving Data Publishing Practices in Research

About this video

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

About the presenters

Katarzyna Biernacka

Humboldt-Universität zu Berlin

Katarzyna Biernacka holds a degree in Computer Science from Humboldt-Universität zu Berlin. Her strong interest in digital tools and the new forms of learning shaped her research interest. Since 2016 she has been conducting research in the field of ICT in teaching using the example of Latin America. Between 2017 and 2019, she cooperatively developed a train-the-trainer program within the joint research project FDMentor to enhance competences in Research Data Management. Since February 2019, she has been working on her PhD thesis as a research assistant at the Computer Science Department and conducts research in the field of "Publication of Research Data - Research Integrity - Privacy". In addition to her research, Katarzyna is an advocate of Open Science and, furthermore, she is the co-chair for the Training and Further Education Sub-WG (part of the German DINI/nestor WG on Research Data) and co-chair of the RDA Education and Training on Handling of Research Data IG.

Raman Ganguly

University of Vienna 

Raman Ganguly is responsible for designing the technical infrastructures of the university data management ecosystem and the sustanible operation of technical infrastructure for longterm data preservation. He is also the technical director of Phaidra the digital asset management system for long-term preservation, developed by the University of Vienna and used by further 21 Institutions in 5 European Countries ( As a specialist of digital infrastructures Raman was also part of European projects: OpenAIRE, Europeana Libraries. Currently, he is co-chairing the Research Data Management Group from COAR (Confederation of Open Access Repositories). He is a member of the task force RED (Researcher Engagement Development) form GÈANT and a co-chair of the RDA (Research Data Alliance) Interest-group Engaging Researcher with Data. At the University of Vienna, he is together with Susanne Blumesberger the initiator of the group Code4Research (software suitability in the research process).