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

Xiuzhen Huang; Steven F. Jennings; Barry Bruce; Alison Buchan; Liming Cai; Pengyin Chen; Carole L. Cramer; Weihua Guan; Uwe K.K. Hilgert; Hongmei Jiang; Zenglu Li; Gail McClure; Donald F. McMullen; Bindu Nanduri; Andy Perkins; Bhanu Rekepalli; Saeed Salem; Jennifer Specker; Karl Walker; Donald Wunsch; Donghai Xiong; Shuzhong Zhang; Yu Zhang; Zhongming Zhao; Jason H. Moore

doi:10.1186/s13040-015-0037-5

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

Xiuzhen Huang, Steven F. Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole L. Cramer, Weihua Guan, Uwe K.K. Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure, Donald F. McMullen, Bindu Nanduri, Andy Perkins, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Karl Walker, Donald WunschDonghai Xiong, Shuzhong Zhang, Yu Zhang, Zhongming Zhao, Jason H. Moore

Research output: Contribution to journal › Review article › peer-review

7 Scopus citations

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.

Original language	English (US)
Article number	7
Journal	BioData Mining
Volume	8
Issue number	1
DOIs	https://doi.org/10.1186/s13040-015-0037-5
State	Published - Jan 8 2015

Keywords

Big data
Maginot Line
No-Boundary thinking

ASJC Scopus subject areas

Biochemistry
Molecular Biology
Genetics
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1186/s13040-015-0037-5

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Huang, X., Jennings, S. F., Bruce, B., Buchan, A., Cai, L., Chen, P., Cramer, C. L., Guan, W., Hilgert, U. K. K., Jiang, H., Li, Z., McClure, G., McMullen, D. F., Nanduri, B., Perkins, A., Rekepalli, B., Salem, S., Specker, J., Walker, K., ... Moore, J. H. (2015). Big data - A 21st century science Maginot Line? No-boundary thinking: Shifting from the big data paradigm. BioData Mining, 8(1), Article 7. https://doi.org/10.1186/s13040-015-0037-5

Huang, X, Jennings, SF, Bruce, B, Buchan, A, Cai, L, Chen, P, Cramer, CL, Guan, W, Hilgert, UKK, Jiang, H, Li, Z, McClure, G, McMullen, DF, Nanduri, B, Perkins, A, Rekepalli, B, Salem, S, Specker, J, Walker, K, Wunsch, D, Xiong, D, Zhang, S, Zhang, Y, Zhao, Z & Moore, JH 2015, 'Big data - A 21st century science Maginot Line? No-boundary thinking: Shifting from the big data paradigm', BioData Mining, vol. 8, no. 1, 7. https://doi.org/10.1186/s13040-015-0037-5

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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.",

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note = "Funding Information: Supported by NSF EPSCoR Grant Number #1239812 and NSF EAGER Grant Number #1452211. This work was also partially supported by the National Institute of Health grants from the National Center for Research Resources (P20RR016460) and the National Institute of General Medical Sciences (P20GM103429). Publisher Copyright: {\textcopyright} 2015 Huang et al.; licensee BioMed Central.",

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T2 - Shifting from the big data paradigm

AU - Huang, Xiuzhen

AU - Jennings, Steven F.

AU - Bruce, Barry

AU - Buchan, Alison

AU - Cai, Liming

AU - Chen, Pengyin

AU - Cramer, Carole L.

AU - Guan, Weihua

AU - Hilgert, Uwe K.K.

AU - Jiang, Hongmei

AU - Li, Zenglu

AU - McClure, Gail

AU - McMullen, Donald F.

AU - Nanduri, Bindu

AU - Perkins, Andy

AU - Rekepalli, Bhanu

AU - Salem, Saeed

AU - Specker, Jennifer

AU - Walker, Karl

AU - Wunsch, Donald

AU - Xiong, Donghai

AU - Zhang, Shuzhong

AU - Zhang, Yu

AU - Zhao, Zhongming

AU - Moore, Jason H.

N1 - Funding Information: Supported by NSF EPSCoR Grant Number #1239812 and NSF EAGER Grant Number #1452211. This work was also partially supported by the National Institute of Health grants from the National Center for Research Resources (P20RR016460) and the National Institute of General Medical Sciences (P20GM103429). Publisher Copyright: © 2015 Huang et al.; licensee BioMed Central.

PY - 2015/1/8

Y1 - 2015/1/8

N2 - 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.

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

Abstract

Keywords

ASJC Scopus subject areas

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