Background
In any research project, data collection forms the foundation for deriving results and knowledge. This critical phase often lacks the detailed planning and documentation it deserves. By implementing a digital workflow for your research data collection process, you can effectively organize your work, carefully consider the information you need to collect, and mitigate the risk of (meta)data loss.
Learning contents
In this practical workshop, you will learn from scratch, how to plan and structure your data collection before going out to the field, how to collect data using mobile devices (even offline), and how to make immediate use of your data back at the desk. We will use the KoboToolbox which offers an easily understandable and flexible structure for various types of data, making the tool interesting for scientists from both natural and social sciences fields.
Learning objectives
Basic understanding of the research data lifecycle, basic understanding of metadata collected with data, basic understanding of common data types, proficiency in creating own research surveys, ability to collect data with KoboToolbox online and offline, basic understanding of XLSforms, application of the workflow to own research examples.
Prior knowledge
No specific requirements, a general interest in and openness to digitization of research processes and learning new tools
Technical requirements
- Own laptop or Androi Smartphone or Android Tablet
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Connection to Wifi via eduroam or equivalent access (see: https://www.uni-bremen.de/en/zfn/wifi/overview-wifi)
- Installed KoboCollect App
The Lecturer(s)
Alexandra NozikAlexandra Nozik is Lecturer at the U Bremen Research Alliance's DataTrain Data Steward Track Program with the workshop "Digitalizing data collection using the KoboToolbox" and Geodata specialist Leibniz Center for Tropical Marine Research (ZMT) GmbH Fahrenheitstr. 6 |
Dr. Philipp Gies[Text über Dr. Philipp Gies] |
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Find out more about the Data Train lectures on our website.
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