Research data
management

Welcome to Research Data Services (RDS). We support researchers of RUB in all aspects of research data management. Here, you will find consulting and other services, tools, information, and help concerning research data.

Quick start

1. Exploring

Wondering about the importance of research data management but only have five minutes? We recommend this video:

To the video

2. Understanding

If you want to learn about research data management in general and have some spare time, take a look at our Moodle course. There you will find the main RDM topics explained in a simple way.

3. Using

Filling in the application form and need to provide information about the handling of your research data? We have a guide for you here
Supervisors or funding institutions set requirements regarding RDM? Find guidelines from DFG, BMBF, EU, and others as well as RUB's guidelines here
Planning to implement RDM from the very beginning of your new project? Our best practices guide shows you how
Already in the middle of your project and unsure where and how to start with RDM? At (almost) any stage of your project or research, a data management plan (DMP) is a good idea.
DFG’s Guidelines for Good Research

4. Consulting

Whether you're feeling completely lost in the topic or, conversely, have specific questions, we're here to assist you

Guidelines

The rectorate of RUB adopted guidelines on research data management on January 23, 2018. Download: guidelines in PDF format (here in German)

Download

What is RDM?

Research data management RDM encompasses a range of methods for organizing, documenting, and preserving all data used or generated in a research process. RDM is aimed at all disciplines and covers various types of research data. RDM ensures sustainable access, reuse, reproducibility, and quality of all data that forms the basis of successful research.