1. Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm
- Author
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Donald C. Wunsch, Jennifer L. Specker, Yu Zhang, Pengyin Chen, Dong Hai Xiong, Bindu Nanduri, Zenglu Li, Jason H. Moore, Andy D. Perkins, Steven F. Jennings, Zhongming Zhao, Karl Walker, Alison Buchan, Donald F. McMullen, Saeed Salem, Barry D. Bruce, Gail McClure, Weihua Guan, Uwe Hilgert, Shuzhong Zhang, Hongmei Jiang, Carole L. Cramer, Liming Cai, Xiuzhen Huang, and Bhanu Rekepalli
- Subjects
0303 health sciences ,Government ,business.industry ,Computer science ,No-Boundary thinking ,Big data ,Data science ,Biochemistry ,Boundary (real estate) ,Computer Science Applications ,03 medical and health sciences ,Computational Mathematics ,0302 clinical medicine ,Editorial ,Silver bullet ,Computational Theory and Mathematics ,030220 oncology & carcinogenesis ,Maginot Line ,Genetics ,Line (text file) ,business ,Molecular Biology ,030304 developmental biology - Abstract
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.
- Published
- 2014