Seasonal School on Data Management in Biodiversity and Environmental Science

Acquire in-depth Research Data Management knowledge in just one week!

NFDI4Biodiversity, the Hessian Research Data Infrastructure HeFDI and the German Centre for Integrative Biodiversity Research iDiv present the third Seasonal School on Data Management in Biodiversity and Environmental Science.

We offer cutting-edge skills and knowledge essential for handling scientific data throughout their life cycle. The intensive five-day program combines direct knowledge transfer with practical lessons to introduce participants to fundamental and advanced tools in research data management (RDM), tailored to enhance their future careers.

Participants will follow the entire data life cycle (DLC): how to find, access, collect, integrate, clean, visualize, and publish data. Using the GFBio DMP Tool, attendees will create a Data Management Plan (DMP) and map local plant occurrences with a digital fieldwork app. They will also integrate datasets from repositories like GBIF and platforms like PlantHub, utilize Jupyter and R for data analysis and visualization, and learn how to publish data in repositories such as PANGAEA and GBIF.

Renowned experts from universities, data centers, and research institutions will guide participants through essential RDM aspects, including handling spatial and taxonomical data, integrating diverse data sources, and navigating legal considerations.

The program emphasizes the use of Jupyter Notebook as a versatile RDM tool and development environment, suitable for interdisciplinary work by combining multiple programming languages.

Join us to learn...

• How to create a data management plan
• How to use Jupyter in combination with R (and Python) as working environment and Quarto to create reproducible content
• About Legal aspects of handling data
• How to integrate data from different sources
• How to set up reproducible workflows for data processing and analysis
• How to publish data

Please note that spaces for our Seasonal School are limited. Priority will be given to PhD students at Hessian NFDI4Biodiversity partners (University of Kassel, University of Gießen, University of Marburg) and to members of the iDiv graduate program (yDiv), but participants from all institutions are welcome to apply.

Further, participants need at least some basic programming experience in R (Python is optional). We provide a list of recommended training materials to meet the required level of data handling skills necessary to follow this course here.

For more details and to register visit follow the link to the event in the side panel.

Registration is open from 30 June to 31 August 2025!

More about our Seasonal Schools

Are you interested in more information about our Seasonal School and how it was developed? You can find the concept and all published teaching materials from our NFDI4Biodiversity & iDiv Seasonal School 2024 here.

More opportunities to learn RDM

If you are specialized in working with object data from natural science collections, the winter school of the Winoda Knowledge Lab in November 2025 might be of interest to you. You can find more information here: https://winoda.de/en/event/winter-school