Data Management for Social Scientists

Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.
The “data revolution” offers many new opportunities for research in the social sciences. Increasingly, traces of social and political interactions can be recorded digitally, leading to vast amounts of new data that become available for research.This poses new challenges for the way we organize and process research data. This book covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. The book covers simple tools such as spreadsheets as well as file-based data storage and processing, and then moves on to more powerful data management software such as relational databases. In the final part of the book, it deals with
advanced topics such as spatial data, text as data, and network data.