Foundations and Scoping of Data Science
Abstract
There has been an increasing recognition of the value of data and of data-based decision making. As a consequence, the development of data science as a field of study has intensified in recent years. However, there is no systematic and comprehensive treatment and understanding of data science. This article describes a systematic and end-to-end framing of the field based on an inclusive definition. It identifies the core components making up the data science ecosystem, presents its lifecycle modeling the development process, and argues its interdisciplinarity.
Cite
@article{arxiv.2301.13761,
title = {Foundations and Scoping of Data Science},
author = {M. Tamer Özsu},
journal= {arXiv preprint arXiv:2301.13761},
year = {2024}
}
Comments
This is an extended version of the original submission. The original has now been published by Communications of ACM, Volume 66, Number 7, pages 106-116, 2023. The original version was only 10 pages and the new version is 100 pages; the original had a restricted number of references (42) while the longer one is much more complete with over 150 references