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Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm

机译:大数据-21世纪的科学Maginot线?无边界思维:从大数据范式转变

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摘要

Whether your interests lie in scientific arenas, the corporate world, or in government, you have certainly heard the praises of big data: Big data will give you new insights, allow you to become more efficient, and/or will solve your problems. While big data has had some outstanding successes, many are now beginning to see that it is not the Silver Bullet that it has been touted to be. Here our main concern is the overall impact of big data; the current manifestation of big data is constructing a Maginot Line in science in the 21st century. Big data is not “lots of data” as a phenomena anymore; The big data paradigm is putting the spirit of the Maginot Line into lots of data. Big data overall is disconnecting researchers and science challenges. We propose No-Boundary Thinking (NBT), applying no-boundary thinking in problem defining to address science challenges.
机译:无论您的兴趣是在科学领域,企业界还是在政府中,您都一定会听到大数据的赞誉:大数据将为您提供新的见解,使您变得更有效率,和/或将解决您的问题。尽管大数据已经取得了一些杰出的成就,但许多人现在开始看到,吹捧它并不是银弹。在这里,我们主要关注的是大数据的总体影响;大数据的当前表现形式是在21世纪构建科学界的Maginot线。大数据不再是“大量数据”,而是一种现象。大数据范例正在将Maginot Line的精神带入大量数据。大数据总体上正在使研究人员与科学挑战脱节。我们提出了无边界思维(NBT),将无边界思维应用于问题定义中以应对科学挑战。

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