Department of Computer Science, Arkansas State University, Jonesboro, AR 72467 USA.
Sector3 Informatics, Marana, AZ 85658 USA.
BioData Min. 2015 Feb 6;8:7. doi: 10.1186/s13040-015-0037-5. eCollection 2015.
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.
无论你的兴趣领域是科学、企业界还是政府部门，你肯定都听说过大数据的种种好处：大数据将为你带来新的洞见，使你更富效率，或为你解决问题。虽然大数据已经取得了一些显著的成功，但现在许多人开始意识到，它并不是人们所吹捧的那种“万能良药”。在这里，我们主要关注的是大数据的整体影响；当前大数据的表现形式是在 21 世纪的科学领域构建马其诺防线。大数据不再仅仅是“大量的数据”；大数据范式正在将马其诺防线的精神融入大量的数据中。大数据总体上正在使研究人员与科学挑战脱节。我们提出无边界思维（NBT），在定义问题时应用无边界思维来应对科学挑战。
