The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction 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. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core.

Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.

About the Author
Nils B. Weidmann is Professor of Political Science at the University of Konstanz.


Book Information
ISBN 9781108964784
Author Nils B. Weidmann
Format Paperback
Page Count 200
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 360g
Dimensions(mm) 228mm * 151mm * 14mm