NDLI: Using big data to solve real problems through academic and industry partnerships

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Using big data to solve real problems through academic and industry partnerships

Content Provider	Semantic Scholar
Author	Mitroff, Stephen R. Sharpe, Benjamin
Copyright Year	2017
Abstract	Big data has revolutionized a number of industries as it provides a powerful tool for asking and answering questions in novel ways. Academic researchers can join this trend and use immense and complex datasets to explore previously intractable questions. Yet, accessing and analyzing big data can be difficult. The goal of this chapter is to outline various benefits and challenges of using big data for academic purposes, and to provide thoughts on how to succeed. The primary suggestion is for academics to collaborate with appropriate industry partners to simultaneously achieve both theoretical and practical advances.
Starting Page	91
Ending Page	96
Page Count	6
File Format	PDF HTM / HTML
DOI	10.1016/j.cobeha.2017.09.013
Volume Number	18
Alternate Webpage(s)	https://api.elsevier.com/content/article/pii/S2352154617301900
Alternate Webpage(s)	https://www.sciencedirect.com/science/article/pii/S2352154617301900?dgcid=api_sd_search-api-endpoint
Alternate Webpage(s)	http://mitrofflab.weebly.com/uploads/2/3/4/2/23421944/17_mitroffsharpe_cobeha.pdf
Alternate Webpage(s)	https://doi.org/10.1016/j.cobeha.2017.09.013
Journal	Current Opinion in Behavioral Sciences
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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