Téléchargez le livre : Big Data Factories

Big Data Factories

Collaborative Approaches de

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Éditeur :

Springer


Collection :

Computational Social Sciences

Paru le : 2017-11-27

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Description

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
Pages
141 pages
Collection
Computational Social Sciences
Parution
2017-11-27
Marque
Springer
EAN papier
9783319591858
EAN PDF
9783319591865
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
2109 Ko
Prix
36,91 €
EAN EPUB
9783319591865
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
1198 Ko
Prix
36,91 €

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