Data Management for Natural Scientists 1st Edition

Data Management for Natural Scientists (1st Edition) by Matthias Hofmann is a practical, modern guide that helps researchers turn unruly datasets into reliable scientific assets. Clear, engaging, and grounded in real-world practice, this book speaks directly to ecologists, geologists, environmental scientists, and lab-based researchers who need robust strategies for organizing, preserving, and sharing research data.

You’ll find concise explanations of the full data lifecycle—collection, cleaning, metadata creation, storage, version control, and long-term archiving—presented with an emphasis on reproducible research and compliance with contemporary funder and publisher expectations. Practical tips and workflows make complex topics accessible without sacrificing rigor, helping teams reduce time spent hunting for files, avoid data loss, and increase the impact of their work.

Readers will appreciate actionable guidance on creating clear documentation, implementing sensible backup and access routines, and preparing datasets for publication or collaborative sharing. The book also emphasizes FAIR principles and reproducibility, equipping scientists to produce trustworthy, reusable data that withstands peer review and supports cross-border collaboration.

Ideal for students, research staff, lab managers, and interdisciplinary teams, this volume is especially useful for those working in field and lab settings across Europe, North America, Asia, and beyond. If you’re ready to professionalize your data practices and make your research more transparent and efficient, Data Management for Natural Scientists by Matthias Hofmann is an essential, practical resource to add to your shelf.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.