FSU course: Management of Scientific Data
Scientific Data is a valuable resource. Its proper management is important to ensure that data is not lost, supports reproducibility and enables reuse.
In this course, we look at how this can be achieved along the entire data lifecycle.
Topics include how to collect, organize, document, store, publish and preserve data, how to ensure data quality, how to overcome obstacles in data integration, legal and ethical aspects in data management, data management planning, preserving data provenance and the role of research software. We will introduce tools to support individual or all steps.
Structure: This is a MSc. course at the FSU and stretches over the summer semester. Materials for self-study at home will be provided. Additionally, there is going to be a weekly online meeting, probably Tuesdays between 4 and 6 PM or Thursday between 10 AM and 12 PM.
Prof. Birgitta König-Ries
... iDiv member, holds the Heinz-Nixdorf Chair for Distributed Information Systems at Friedrich-Schiller-Universität Jena.
... Project Coordinator of BExIS 2, a data management platform for biodiversity research at the FSU.