In the BonaRes repository, which is operated at ZALF (Germany), digital research data from soil and agricultural sciences are published and made available to scientists and interested parties for reuse. This film explains the basic steps necessary to take advantage of the data publication.
Making Data Machine-Readable WebinarThis webinar provides a basic overview of machine-readable data. We cover what machine-readable data is, why we prefer machine-readable data over other digital formats where possible, the characteristics of machine-readable data and how to convert tabular data to a machine-readable format.
Data Dictionaries WebinarThis webinar provides a basic overview of data dictionaries and the role they play in making data more easily understandable. We talk about what a data dictionary is, why we recommend data be accompanied by a data dictionary, the different types of data dictionaries and how to create a data dictionary.
#shareEGU20: Handling your data efficiently from planning to reuse–tips & tools to save time & nerves- webinarThis online Short Course will introduce you to useful tools and best practices that will make your work with research data much easier, more efficient, and enjoyable. It introduces you to Data Management Plans, reproducible data manipulation in R, Version control with git and github, working with clusters and large climate data, and publishing data. This Short Course is relevant to all geoscience fields and the tools presented can be widely applied through all kinds of data sets.
Forschungsdatenmanagement für Agrarwissenschaftler und BiologenPresentation slides for a Workshop about research data management for students and researchers of agricultural sciences and biology. Workshop held at Humboldt-Universität zu Berlin, 12 May 2016.
BonaRes Repositorium Intro VideoIn the BonaRes repository, which is operated at ZALF (Germany), digital research data from soil and agricultural sciences are published and made available to scientists and interested parties for reuse. This film explains the basic steps necessary to take advantage of the data publication.