哲学社会科学视阈下大数据的若干基本问题

Several basic issues of big data from the perspective of philosophy and social sciences

从哲学社会科学视阈展开对大数据的概念、特征、维度和社会价值等基本问题的探讨能够深化大数据研究,促进大数据的科学运用。作为一种新的数据形态,与传统数据相比,虚拟性、异构性、预测性是大数据的基本特征。置于深刻变化的社会复杂系统,大数据具有物质、精神、价值、关系等四个主要维度。大数据的现实运用昭示其社会价值主要体现为认识社会即研究工具的价值和改造社会即物质工具的价值两大方面。

The exploration of the basic issues of the concepts, characteristics, dimensions and social values of big data from the perspective of philosophy and social sciences is essential for its in-depth study and scientific application. Big data, as a new form of data, differs from traditional data in its characteristics of being virtual, isomeric and predictable. It has four dimensions of material, spirit, value and relation-ship. The social values in the application of big data in reality are represented mainly as research tools in understanding society and material tools in reforming society.