Big Data Factories Collaborative Approaches - Sorin Adam Matei,Nicolas Jullien,Sean P. Goggins
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Saadetis 10-16 tööpäeva jooksul
30-päevane tagastamisõigus
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 dat ... Täielik kirjeldus
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Kirjeldus
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
Lisateave
| Autor | Sorin Adam Matei, Nicolas Jullien, Sean P. Goggins |
|---|---|
| Kirjastaja | Springer International Publishing |
| Väljalaskeaasta | 2017 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783319591858 |