October 15th, 2024 | by
Hania Eid
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.
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May 28th, 2024 | by
Ujkani, Arlinda
Source: Coscine
The first part of the blog series “Effective data sharing with Coscine” presented various options for sharing research data that are offered in Coscine. The second part of the series now looks at how you can make your research data accessible to a wider audience and how you can freely design the presentation of the data. Although this is somewhat more complex than the tools provided in the Coscine user interface, it offers more flexibility and can therefore be tailored specifically to your needs.
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