Explore our training and information materials, such as fact-sheets, primers, best-practices, software guides and videos.
They will help you to produce FAIR - findable, accessible, interoperable and reusable - data.
Data Life Cycle Fact Sheets
Learn more about each step in the data life cycle, get to know how GFBio supports you and find useful links.
With our Education Modules, you can train your data management skills and obtain general information about data management. You can either use them for your own training or to train others. They are licensed under CC-BY-NC, so you can use them for non-commercial purposes as long as you give credit to GFBio, like suggested in the last slides.
Software Training Materials
In this section you can find software recommendations and associated training materials for the management of biodiversity data. GFBio cooperates with two German developer groups that provide open source platforms for biodiversity data management (Diversity Workbench & BEXIS2).
Diversity Workbench (DWB)
DWB is a modularized workbench that serves as virtual research environment for the management and analysis of various kinds of biodiversity and geoscience data. It can be set up and run by institutions as well as individual researchers. A mobile version, Diversity Mobile, can be used to collect data in the field.
BEXIS 2 is a modular scalable platform for the management of biodiversity data (during project lifetime), designed for large research projects and collaborative project consortia having central data management including a data manager.
Webinars / screencasts / media
How semantic search can improve your search results (screencast)
Alejandra Sarmiento Soler, Mara Ort, Juliane Steckel
Roland Bertelmann, Petra Gebauer, Tim Hasler, Ingo Kirchner, Wolfgang Peters-Kottig, Matthias Razum, Astrid Recker, Damian Ulbricht, Stephan van Gasselt
(Only in German)
Diese Broschüre entstand im Sommer 2014 auf dem Workshop „Wege in die Köpfe“ des DFG geförderten Projekts EWIG (Entwicklung von Workflowkomponenten für die Langzeitarchivierung von Forschungsdaten in den Geowissenschaften). Während der Laufzeit des Projekts wurden Workflows von Forschungsdaten in den Geowissenschaften im Hinblick auf die Sicherung der Langzeitverfügbarkeit untersucht.
Carly Strasser, Robert Cook, William Michener, Amber Budden
Objective of this Primer: The goal of data management is to produce self-describing data sets. If you give your data to a scientist or colleague who has not been involved with your project, will they be able to make sense of it? Will they be able to use it effectively and properly? This primer describes a few fundamental data management practices that will enable you to develop a data management plan and to effectively create, organize, manage, describe, preserve, and share data.