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.
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