Research data services A-Z
Training: Data and project organisation with REDCap
REDCap is a secure and user-friendly web-based application for data collection and processing in research projects and administration. We introduce you to the simplest functions and are available to advise you when your study setup becomes more complex.
Training: Data management plans
Good planning is half the battle - data management plans in research projects and third-party funding applications: In this workshop, you will learn what requirements you will face in data management, how you can use data management plans to implement efficient research data management in your project and what aspects should be considered when applying for third-party funding.
Training: Data organisation
Data organisation made easy: The basis for good handling of research data is the organisation of project-related data sets. In this course, you will learn about strategies that will help you to store, save and share your data in a structured way.
Training: Data protection
As closed as necessary, as open as possible - data protection when handling research data: Handling personal data often presents researchers with legal challenges. In this event, you will gain insights into data protection aspects when handling your research data.
Training: Open Access Publishing
Discover the answers to your questions about Open Access in this workshop, from its importance and funding to the possibilities that go beyond simply reading.
Training: Publishing and finding research data
Publish your well-documented and sufficiently described primary research data in research data repositories so that they are easy to find in future. We will show you where and how to be optimally prepared so that you don't have to despair over the question of the DOI for your research data when submitting your manuscript.
Training: Research data management for medicine and natural sciences
Discover how you can efficiently categorise, store, archive and publish data to make your research future-proof and sustainable in the basic course on research data management for medicine/natural sciences. The workshop-style classroom course is designed to be interactive and is aimed at all researchers in the relevant disciplines.
Training: research data management for students
As a student, am I actually responsible for the good management of my generated or used research data for my thesis? In the basic research data management course, you will learn what is necessary for this and which aspects need to be considered.
Training: Visualising scientific data effectively and avoiding common pitfalls
This workshop teaches basic graphic design skills for scientific data visualisation to help participants create accurate, effective and appealing graphics.
Web-based data science and machine learning with Jupyter
The "Jupyter" service offers researchers, teachers and learners at Leipzig University and its cooperation partners an interactive web interface for using high-performance computing resources for data science and machine learning.