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https://doi.org/10.21256/zhaw-24611| 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 10.21256/zhaw-24611 |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/24611 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | CC BY-SA 4.0: Attribution - Share alike 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Centre for Artificial Intelligence (CAI) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Stadelmann-etal_Data-centrism-Data-Science_AoDSA.pdf | Accepted Version | 499.32 kB | Adobe PDF |  View/Open |
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Stadelmann, T., Klamt, T., & Merkt, P. H. (2022). Data centrism and the core of Data Science as a scientific discipline. Archives of Data Science, Series A, 8(2). https://doi.org/10.5445/IR/1000143637
Stadelmann, T., Klamt, T. and Merkt, P.H. (2022) ‘Data centrism and the core of Data Science as a scientific discipline’, Archives of Data Science, Series A, 8(2). Available at: https://doi.org/10.5445/IR/1000143637.
T. Stadelmann, T. Klamt, and P. H. Merkt, “Data centrism and the core of Data Science as a scientific discipline,” Archives of Data Science, Series A, vol. 8, no. 2, Mar. 2022, doi: 10.5445/IR/1000143637.
STADELMANN, Thilo, Tino KLAMT und Philipp H. MERKT, 2022. Data centrism and the core of Data Science as a scientific discipline. Archives of Data Science, Series A. 10 März 2022. Bd. 8, Nr. 2. DOI 10.5445/IR/1000143637
Stadelmann, Thilo, Tino Klamt, and Philipp H. Merkt. 2022. “Data Centrism and the Core of Data Science as a Scientific Discipline.” Archives of Data Science, Series A 8 (2). https://doi.org/10.5445/IR/1000143637.
Stadelmann, Thilo, et al. “Data Centrism and the Core of Data Science as a Scientific Discipline.” Archives of Data Science, Series A, vol. 8, no. 2, Mar. 2022, https://doi.org/10.5445/IR/1000143637.
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