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MARA-Workshop: Introduction to Research Data Management – Project- and Data Management (FAIR Data)

Kick-start to research data management - part 1

Veranstaltungsdaten

Event language: English

Science is becoming increasingly digital, data-driven, and collaborative. This workshop will provide an overview of methods, platforms, and tools to help you manage your digital data and collaborate more efficiently.
Digital research data is on the rise: Most research projects generate and/or collect digital data, thus requiring researchers to learn how to handle data responsibly and proactively. Not only do we need to manage and annotate our data; we should also preserve our data and make them available for re-use by publishing them in accordance with FAIR (findability, accessibility, interoperability, and reusability) open data principles.
While data management seems to imply plenty of work and little benefit initially, it does come with considerable personal and practical advantages in the longer term:

• Well-managed and annotated data are easier to sort, retrieve, and understand, thus boosting research efficiency.
• High-quality data management can shield you from accidental data loss.
• Well-managed data may also be an advantage when submitting manuscripts, as data quality just might tip the scales in your favor when acceptance is a close call.

What is more, good research data management is a vital ingredient in fostering open science because sharing your data responsibly makes it available to the scientific community.

Qualification Outcomes

• You will know the basics of research data management.
• You will gain insight into strategies and tools for managing analysis workflows for your research data.
• You will know how to publish your data and, if applicable, your code in line with FAIR principles.
• You will have a clear understanding of the research-data-management and advisory services at the University of Marburg.

There's a companion-workshop focussing on open methods and reproducibility, taking place on October 6, 2025. If you're interested, feel free to sign up - it's free of charge, just like this workshop!

Both courses are an introduction to different aspects of research data management. If you do already have more specific questions, we will gladly consult you directly. Please reach out to us via e-mail to eresearch@uni-marburg.de.

This course is part of MARA's Open Science programme. Please find more information in the MARA events calendar.