Towards Developing Theories About Data: A Philosophical and Scientific Approach

IF 0.6 4区管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE

Knowledge Organization Pub Date : 2022-01-01 DOI:10.5771/0943-7444-2022-3-141

R. Fattahi

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Abstract

Similar to information and knowledge, data and especially big data are now known as one of the most vital elements in the 21st century since they provide multiple capabilities to individuals and organizations. However, in comparison to some theories about information and knowledge, there are no significant attempts in most scientific disciplines for building theories about data. This paper first reviews the different definitions provided about the concept of data in the works of scholars. It then identifies and explores the philosophical aspects as well as the multiple capabilities/features that can be derived from data. Finally, a starter list of some basic/general theories is developed based on the capabilities and features of data. Such new theories can be used as meta-theories to extend data theories for various scientific disciplines. The important notion supporting the development of theories about data is that, if data is so important and if data science is to continue flourishing in a variety of specialized fields and trends, then we need to build relevant theories about data for research and practical purposes in a multi-disciplinary context. Keywords: Data, big data, theory of data, philosophy of data.

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发展数据理论:哲学和科学的方法

与信息和知识类似，数据，尤其是大数据，现在被认为是21世纪最重要的元素之一，因为它们为个人和组织提供了多种能力。然而，与一些关于信息和知识的理论相比，在大多数科学学科中都没有建立关于数据的理论的重大尝试。本文首先回顾了学者们对数据概念的不同定义。然后，它确定并探索了哲学方面以及可以从数据派生的多种功能/特性。最后，根据数据的能力和特点，制定了一些基本/一般理论的入门清单。这些新理论可以作为元理论来扩展数据理论在各个科学学科中的应用。支持数据理论发展的重要概念是，如果数据如此重要，如果数据科学要在各种专业领域和趋势中继续蓬勃发展，那么我们需要在多学科背景下建立有关数据的相关理论，用于研究和实践目的。关键词:数据，大数据，数据理论，数据哲学

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来源期刊

Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.40

自引率

28.60%

发文量