If you attended our courses on the research data management platform Coscine and Metadata, you know we need to securely store our data and annotate them with meaningful metadata and that Coscine can help you here. You probably also know doing that by hand can be tedious. Let’s automate it!

In this course, we will use a Jupyter Notebook to create Python script for automated data transfer in a step-by-step process. We will interact with the Coscine projects and resources using the Coscine Python SDK. In the end, you will have the foundations to create your own scripts to automate your data workflows, enabling you to transfer data and metadata from a local computer or server to Coscine.

This event is part of a series of in-depth modules on research data management (FDM II – modular). The basics on research data management are covered by the Moodle course “Überblick zum Management von Forschungsdaten (FDM I-online)” / “Research Data Management – an Overview (RDM I – online)“. Please use this course as introduction to research data management.