Microcredential komex: Applied Data Management for Social Scientists
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This three-day in-person compact course provides participants with a comprehensive introduction to different techniques of applied data management.
What Is This Course About?
Do you need to prepare data for your own analysis? Are you planning to collect your own data or to build on existing data sources? This three-day in-person compact course provides participants with a comprehensive introduction to different techniques of applied data management. It presents systematic ways to work with simple tools such as spreadsheets, file-based data storage, and basic functions of the R statistical toolkit. Focusing entirely on data management, the course combines systematic theoretical insight with best practices from the field - applied implementation of these strategies in R and in participants’ own data management projects.
Learning Goals
After this course you will:
- Have an overview of the most important methods of data management in the social sciences.
- Be aware of critical junctures, potential pitfalls and best practices in data management.
- Implement file-based data management in R.
- Make informed choices about data management in your own research projects.
Assignments for the Course
- Careful preparation of readings
- Active participation during the course
- Completion of daily task
- Lightening talk and final presentation on own research project
- Executive summary of data management strategy for participants’ own research projects.
Schedule
- 09:00-10:30h: Course
- 10:30-11:00h: Break
- 11:00-12:30h: Course
- 12:30-13:30h: Lunch break
- 13:30-14:30h: Course
Recommended Readings for the Course
- Weidmann, Nils B. 2022. Data Management for Social Scientists. Files to Databases. Cambridge University Press.
- Wickham, Hadley and Garrett Grolemund. 2016. R for Data Science. O’Reilly.
- Elff, Martin. 2021. Data Management in R: A Guide for Social Scientists. SAGE.
Who Are Your Instructors?
Anna-Lena Hönig is a postdoctoral researcher at the Cluster of Excellence "The Politics of Inequality“ and the Department of Politics and Public Administration at the University of Konstanz. Her research examines autocracies with a focus on political protest, repression, and cooperation. In her research and teaching, she focuses on social network analysis, survey experiments, and causal inference. She is a co-founder of the annual Workshop on Conflict Dynamics.
X: @annalenahoenig
Eda Keremoglu is a postdoctoral researcher at the Department of Politics and Public Administration at the University of Konstanz and a principal investigator at the Cluster of Excellence "The Politics of Inequality.“ Taking a comparative approach, her research focuses on autocracies. Eda applies computational, quantitative methods to examine authoritarian politics, repression and the political role of the Internet in these regimes.
X: @eda_keremoglo
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