当前位置: X-MOL 学术IEEE Instrum. Meas. Mag. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Big data, dataism and measurement
IEEE Instrumentation & Measurement Magazine ( IF 1.6 ) Pub Date : 2020-05-01 , DOI: 10.1109/mim.2020.9082796
Dario Petri

Currently, size of data is celebrated while only their usefulness in decision-making is actually important. Principles, methodologies and techniques of metrology are crucial to ensure proper and effective collection and use of data. Unfortunately, the fundamentals of metrology are seldom offered in educational degree programs, including those in scientific and technological subjects. Consequently, we should not be surprised if dataism (i.e., unconditioned belief in data) is spreading and a tsunami of improperly used data is submerging us. In the age in which measurements permeate all areas and every level of society with the expectation of promoting inconceivable socio-economic progress, underestimating the relevance of metrology is likely to lead to many serious potentially negative consequences.

中文翻译:

大数据、数据主义和测量

目前,数据的大小备受推崇,而只有它们在决策中的用处才是真正重要的。计量的原则、方法和技术对于确保正确有效地收集和使用数据至关重要。不幸的是,计量学的基础知识很少在教育学位课程中提供,包括科学和技术学科的课程。因此,如果数据主义(即对数据的无条件信念)正在蔓延,并且数据使用不当的海啸正在淹没我们,我们不应感到惊讶。在测量渗透到社会各个领域和各个层面并期望促进不可思议的社会经济进步的时代,低估计量的相关性可能会导致许多严重的潜在负面后果。
更新日期:2020-05-01
down
wechat
bug