NFDI4Biodiversity
Published November 7, 2025 | Version v1
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Introduction to Research Data Management

Authors/Creators

  • 1. Universität Kassel Universitätsbibliothek Kassel

Description

This lecture was part of the NFDI4Biodiversity & HeFDI & iDiv Seasonal School on Data Management in Biodiversity and Environmental Science. It introduces fundamental principles of research data management (RDM) and data literacy, highlighting best practices for organizing, storing, documenting, and sharing data according to the FAIR principles. Participants were guided through the research data life cycle and explored how to design data management strategies that meet funder and institutional requirements while improving the reproducibility and impact of their research.

The NFDI4Biodiversity & HeFDI & iDiv Seasonal School on Data Management in Biodiversity and Environmental Science is a joint initiative by the NFDI4Biodiversity consortium, the Hessian Research Data Infrastructure (HeFDI), and the German Centre for Integrative Biodiversity Research (iDiv). The intensive five-day program combines conceptual input with hands-on practice, equipping early-career researchers with the skills to manage biodiversity and environmental data throughout its life cycle.

Contact: forschungsdaten@uni-kassel.de 

Notes

License
Unless otherwise noted, the slides of this presentation are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Third-party content
Third-party materials remain under their original licenses or copyright and are marked on the respective slides.
Examples:

  • Slide 4 – PHD Comics (Jorge Cham, 2007): © Jorge Cham (educational use only)

  • Slide 5 – Adobe Stock (ID 229078273): Licensed to University of Kassel

Previously published slides
Some slides in this presentation are based on earlier training materials and presentations created by the author and/or co-authors. They have been partially adapted, translated, or modified for this publication and are not individually marked as reused content.

Use of AI tools
Parts of this presentation (e.g. outline development, draft formulations of learning objectives, translations, and citation formatting) were supported using OpenAI’s ChatGPT (GPT-5, 2025).
All contents were reviewed, edited, and finalized by the author.

Files

Introduction2RDM_SeasonalSchool_SJordan_20251006_v1.0.pdf

Files (8.5 MB)

Additional details

Related works

Is supplement to
Publication: 10.5281/zenodo.15585747 (DOI)

Dates

Other
2025-10-06
Presented