Love Data Week

In this short presentation, the RDM curriculum of the UA Ruhr will be introduced. We will also provide an overview of the development and cooperation in the cross-location initiative.

The event is aimed at potential participants from the UA Ruhr universities as well as interested RDM personnel. 

Jointly organised by Ruhr University Bochum, University of Duisburg-Essen, TU Dortmund University.

01:00 - 01:30 pm
Coffee Lecture: The life cycle of research data

Research data management describes the structured handling of research data. The various phases of the data life cycle play an important role in planning. 

In this short presentation, you will find out which phases are involved and what should be considered for each phase. 

Keeping data findable in the long term is one of the goals of good data organisation. This short presentation will give you a few tips on how you can quickly find your data even after a long period of time using a planned file naming and folder structure.

From the planning of a research project to the project duration and publication: structured handling of research data saves time and resources in the long term and increases the reusability of research results. The FAIR principles play an important role here. What are they all about? Find out at this event.

The lecture is aimed at researchers and other interested parties who want to familiarise themselves with the FAIR principles using a slightly different example. However, the facts on which the principles are based should not be neglected either.

Jointly organised by Ruhr University Bochum, FH Münster, and Rhine-Waal University of Applied Science.

The documentation and description of research data involves a lot of prior work. In this short presentation, you will find out why it is still worth investing the time in the long term.

The publication of research data is now required by many funding organisations and journals. In this short presentation, you will receive recommendations on how to find out where you can publish your data and tips on what you should pay attention to before publishing your data.