Can I read Big Data Factories: Collaborative Approaches (Computational Social Sciences) on EtoBox?

Big Data Factories: Collaborative Approaches (Computational Social Sciences) by Sorin Adam Matei, Nicolas Jullien and Sean P. Goggins is a nonfiction available to read on EtoBox.

What is Big Data Factories: Collaborative Approaches (Computational Social Sciences) about?

Annotation 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 concer

Who reads Big Data Factories: Collaborative Approaches (Computational Social Sciences)?

Author

Sorin Adam Matei, Nicolas Jullien and Sean P. Goggins

Publisher

Springer International Publishing, Cham

Published

2017

Language

EN

ISBN

9783319591858

Category

nonfiction

Subjects

Business, Science, Mathematics