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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Data centrism and the core of Data Science as a scientific discipline
Authors: Stadelmann, Thilo
Klamt, Tino
Merkt, Philipp H.
et. al: No
DOI: 10.5445/IR/1000143637
Published in: Archives of Data Science, Series A
Volume(Issue): 8
Issue: 2
Issue Date: 10-Mar-2022
Publisher / Ed. Institution: KIT Scientific Publishing
ISSN: 2363-9881
Language: English
Subjects: Science of data science; ISSDS 2021
Subject (DDC): 005: Computer programming, programs and data
Abstract: Data science is one of the most significant developments in computing in the 21st century. It is also described as a discipline in the making, drawing principles, methods and tools from established fields like computer science, statistics, science, business, politics, and any domain with adequate data. What are data science’s underlying principles and techniques (models, methods) that are applicable across different use cases and fields of application? What novel aspect of science underlies this emerging discipline? We argue that it is data centrism - the reliance on data itself, in mindset, methods and products - that makes data science more than the sum of its parts, as this is not done in any other discipline.
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Centre for Artificial Intelligence (CAI)
Appears in collections:Publikationen School of Engineering

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