EAN: 9783319865645

COMPUTATIONAL SOCIAL SCIENCES BIG DATA FACTOR...

The book proposes a systematic approach to big data collection  documentation and development
of analytic procedures that foster collaboration on a large scale. This approach  designated as
data factoring emphasizes the need to think of each individual dataset developed by an
individual project as part of a broader data ecosystem  easily accessible and exploitable by
parties not directly involved with data collection and documentation. Furthermore  data
factoring uses and encourages pre-analytic operations that add value to big data sets 
especially recombining and repurposing. The book proposes a research-development agenda that
can undergird an ideal data factory approach. Several programmatic chapters discuss specialized
issues involved in data factoring (documentation  meta-data specification  building flexible 
yet comprehensive data ontologies  usability issues involved in collaborative tools  etc.). The
book also presents case studies for data factoring and processing that can lead to building
better scientific collaboration and data sharing strategies and tools. Finally  the book
presents the teaching utility of data factoring and the ethical and privacy concerns related to
it. Chapter 9 of this book is available open access under a CC BY 4.0 license at
link.springer.com

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