The sciences of data – moving towards a comprehensive systems perspective

Garcia, Victor; Horn, Claus; Ott, Thomas

doi:10.5445/IR/1000150241

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27825

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	The sciences of data – moving towards a comprehensive systems perspective
Authors:	Garcia, Victor Horn, Claus Ott, Thomas
et. al:	No
DOI:	10.5445/IR/1000150241 10.21256/zhaw-27825
Published in:	Archives of Data Science, Series A
Volume(Issue):	8
Issue:	2
Issue Date:	2022
Publisher / Ed. Institution:	KIT Scientific Publishing
ISSN:	2363-9881
Language:	English
Subjects:	Data science; Complexity; Philosophy of science; Self-organization
Subject (DDC):	005: Computer programming, programs and data
Abstract:	Data science’s rapid development in a dynamically growing data environment endows it with unique characteristics among scientific disciplines, juxtaposing challenges typically encountered in theoretical as well as empirical sciences. This raises questions as to the identification of the most pressing problems for data science, as well as to what constitutes its theoretical foundations. In this contribution, we first describe data science from the perspective of philosophy of science. We argue that the current mode of development of data science is adequately described by what we term the differentiational-expansionist mode. This leads us to conclude that data science concerns the acquisition of scientific theories relating to the application of methods, workflows and algorithms that generate value for users – which we term the integrative view. This definition emphasizes the interdependent nature of human and algorithmic elements in complex data workflows. We then offer four challenges for the future of the field. We conclude that since full control of entire data workflows is unfeasible, attention should be redirected towards the creation of an infrastructure by which data workflows will self-organize in a useful manner.
URI:	https://digitalcollection.zhaw.ch/handle/11475/27825
Fulltext version:	Published version
License (according to publishing contract):	CC BY-SA 4.0: Attribution - Share alike 4.0 International
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Computational Life Sciences (ICLS)
Published as part of the ZHAW project:	The effect of programmed ribosomal frameshifting on codon usage bias Digitale Werkzeuge zur Codonoptimierung
Appears in collections:	Publikationen Life Sciences und Facility Management

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Garcia, V., Horn, C., & Ott, T. (2022). The sciences of data – moving towards a comprehensive systems perspective. Archives of Data Science, Series A, 8(2). https://doi.org/10.5445/IR/1000150241

Garcia, V., Horn, C. and Ott, T. (2022) ‘The sciences of data – moving towards a comprehensive systems perspective’, Archives of Data Science, Series A, 8(2). Available at: https://doi.org/10.5445/IR/1000150241.

V. Garcia, C. Horn, and T. Ott, “The sciences of data – moving towards a comprehensive systems perspective,” Archives of Data Science, Series A, vol. 8, no. 2, 2022, doi: 10.5445/IR/1000150241.

GARCIA, Victor, Claus HORN und Thomas OTT, 2022. The sciences of data – moving towards a comprehensive systems perspective. Archives of Data Science, Series A. 2022. Bd. 8, Nr. 2. DOI 10.5445/IR/1000150241

Garcia, Victor, Claus Horn, and Thomas Ott. 2022. “The Sciences of Data – Moving towards a Comprehensive Systems Perspective.” Archives of Data Science, Series A 8 (2). https://doi.org/10.5445/IR/1000150241.

Garcia, Victor, et al. “The Sciences of Data – Moving towards a Comprehensive Systems Perspective.” Archives of Data Science, Series A, vol. 8, no. 2, 2022, https://doi.org/10.5445/IR/1000150241.