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Why geographic data science is not a science

“Data Science” has taken many disciplines by storm. And for a good reason: New forms and unseen quantities of data enter nearly every scientific field, substantially changing the ways how scientists do science, and potentially allowing them to answer old questions or to pose them in novel ways. The...

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Autores principales: Scheider, Simon, Nyamsuren, Enkhbold, Kruiger, Han, Xu, Haiqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757389/
https://www.ncbi.nlm.nih.gov/pubmed/33381223
http://dx.doi.org/10.1111/gec3.12537
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author Scheider, Simon
Nyamsuren, Enkhbold
Kruiger, Han
Xu, Haiqi
author_facet Scheider, Simon
Nyamsuren, Enkhbold
Kruiger, Han
Xu, Haiqi
author_sort Scheider, Simon
collection PubMed
description “Data Science” has taken many disciplines by storm. And for a good reason: New forms and unseen quantities of data enter nearly every scientific field, substantially changing the ways how scientists do science, and potentially allowing them to answer old questions or to pose them in novel ways. The recent success of Data Science is also reflected in corresponding study programs and curricula and the emergence of specialized branches, such as Geographic Data Science (GDS). Some researchers, therefore, claim that Data Science and GDS should be treated as autonomous scientific disciplines, while others fear that it sells nothing but old wine in new bottles. In an attempt to sober the discussion, we investigate GDS and Data Science from the perspective of meta‐science. We provide arguments why today's GDS and Data Science should be seen as an interdisciplinary community of practice of data‐driven scientists, rather than a scientific discipline. We also discuss what is missing for GDS and Data Science to become genuine scientific disciplines.
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spelling pubmed-77573892020-12-28 Why geographic data science is not a science Scheider, Simon Nyamsuren, Enkhbold Kruiger, Han Xu, Haiqi Geogr Compass GIS & Quantitative “Data Science” has taken many disciplines by storm. And for a good reason: New forms and unseen quantities of data enter nearly every scientific field, substantially changing the ways how scientists do science, and potentially allowing them to answer old questions or to pose them in novel ways. The recent success of Data Science is also reflected in corresponding study programs and curricula and the emergence of specialized branches, such as Geographic Data Science (GDS). Some researchers, therefore, claim that Data Science and GDS should be treated as autonomous scientific disciplines, while others fear that it sells nothing but old wine in new bottles. In an attempt to sober the discussion, we investigate GDS and Data Science from the perspective of meta‐science. We provide arguments why today's GDS and Data Science should be seen as an interdisciplinary community of practice of data‐driven scientists, rather than a scientific discipline. We also discuss what is missing for GDS and Data Science to become genuine scientific disciplines. John Wiley and Sons Inc. 2020-07-24 2020-11 /pmc/articles/PMC7757389/ /pubmed/33381223 http://dx.doi.org/10.1111/gec3.12537 Text en © 2020 The Authors. Geography Compass published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle GIS & Quantitative
Scheider, Simon
Nyamsuren, Enkhbold
Kruiger, Han
Xu, Haiqi
Why geographic data science is not a science
title Why geographic data science is not a science
title_full Why geographic data science is not a science
title_fullStr Why geographic data science is not a science
title_full_unstemmed Why geographic data science is not a science
title_short Why geographic data science is not a science
title_sort why geographic data science is not a science
topic GIS & Quantitative
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757389/
https://www.ncbi.nlm.nih.gov/pubmed/33381223
http://dx.doi.org/10.1111/gec3.12537
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