Towards Developing Theories About Data: A Philosophical and Scientific Approach

Rahmatollah Fattahi

doi:10.5771/0943-7444-2022-3-141

Contents
- Chapter Expand | CollapseAuthorsPage
- 139–140 Titelei/Inhaltsverzeichnis 139–140
- 141–150 Towards Developing Theories About Data: A Philosophical and Scientific Approach Rahmatollah Fattahi Rahmatollah Fattahi 141–150
- 151–171 A Proposal in Creating a Semantic Repository for Digital 3D Replicas: The Case of Modernist Sculptures in Public Spaces of Rio De Janeiro Daniela Lucas da Silva Lemos, Dalton Lopes Martins, Asla Medeiros e Sá, Luciana Conrado Martins, Danielle do Carmo Daniela Lucas da Silva Lemos, Dalton Lopes Martins, Asla Medeiros e Sá, Luciana Conrado Martins, Danielle do Carmo 151–171
- 172–191 Models for Narrative Information: A Study Udaya Varadarajan, Biswanath Dutta Udaya Varadarajan, Biswanath Dutta 172–191
- 192–207 Using Hashtags to Analyse Purpose and Technology Application of Open-Source Project Related to COVID-19 Liang Tian, Chengzhi Zhang Liang Tian, Chengzhi Zhang 192–207
- 208–210 General Information 208–210
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KO KNOWLEDGE ORGANIZATION , page 141 - 150

Towards Developing Theories About Data: A Philosophical and Scientific Approach

Autoren

Rahmatollah Fattahi

DOI
- doi.org/10.5771/0943-7444-2022-3-141
- ISSN: 0943-7444
- ISSN online: 2942-3309
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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