WHAT’S THIS SESSION ABOUT?
Researchers in many disciplines work with data that can become difficult to manage in spreadsheets or isolated files alone. This may be due to the size of the data, but also to their complexity, structure, and the need to organize, link, document, and query related information in a consistent and reproducible way. Relational database management systems (RDBMS) and SQL offer one way to address these challenges and to manage data for further analysis. Yet for many researchers, databases remain a technical topic that seems distant from everyday research practice.
This Data Snack provides a low-threshold overview of relational databases and SQL for researchers across domains. It outlines why databases can become relevant in research, presents typical use cases, and gives a first orientation on how relational databases, SQL, and common analysis tools such as R and Python can fit together in a research workflow.
WHERE AND WHEN?
The session will take place from 1:00 to 1:30pm via Zoom. There will be a 15-20 minute presentation followed by an open forum for questions and discussion. The slides will be shared afterwards. We look forward to exciting discussions!
Zoom Link: https://uni-bremen.zoom-x.de/j/61666538039?pwd=JZTcc15FcsrZwedVYuMoVuhp3sPLCF.1
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ABOUT THE SPEAKERS
As a DSC Data Scientist and Environmental Scientist, Annika Nolte supports researchers with their data management and analysis workflows. In this Data Snack, she brings a non-computer-science researcher’s perspective and practical experience with RDBMS and SQL from her own research work.
Timo Laudi is a computer scientist at the Data Science Center, where he manages infrastructure and IT services and supports DSC users with technical solutions. He brings experience with relational databases and SQL from both academic and industry contexts. In his doctoral research, he focuses on methods for making artificial intelligence more sustainable and efficient.