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Big Data Factories - Collaborative Approaches (Hardcover, 1st ed. 2017)
Loot Price: R1,837
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Big Data Factories - Collaborative Approaches (Hardcover, 1st ed. 2017)
Series: Computational Social Sciences
Expected to ship within 10 - 15 working days
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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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