Forschungsdatenmanagement

Digital research data and its management are among the most challenging issues that scientists have to deal with during their research process. Their organisation, publication, archiving and re-use are becoming increasingly important in science in the digital age.

This workshop will look at the most important aspects of research data management:

Research data lifecycle

Resesarch data policies

Data Management Plan (DMP)

Structuring data

Documentation

Storage and backup

Long-term archiving

Access security

Publication of research data

Re-use of research data

Legal aspects

The units are accompanied by practical exercises through which the newly gained knowledge can be consolidated and transferred to own use cases. In the process, participants learn about useful tools and platforms for working effectively with their data.

Useful resources and further reading:

Biernacka, K., Bierwirth, M., Buchholz, P., Dolzycka, D., Helbig, K., Neumann, J., Odebrecht, C., Wiljes, C. & Wuttke, U. (2019). Train-the-Trainer Concept on Research Data Management (Version 3.0). Zenodo. http://doi.org/10.5281/zenodo.4071471

www.cessda.eu/Training/Training-Resources/Library/Data-Management-Expert-Guide