In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research

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Bibliographic Details
Main Authors: Elle O'Brien, Jordan Mick
Format: Article
Language:English
Published: The MIT Press 2024-04-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/99608f92.7ca04767
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author Elle O'Brien
Jordan Mick
author_facet Elle O'Brien
Jordan Mick
author_sort Elle O'Brien
collection DOAJ
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issn 2644-2353
language English
publishDate 2024-04-01
publisher The MIT Press
record_format Article
series Harvard Data Science Review
spelling doaj-art-472427aff4de4b6bb4fffb7d873c408d2025-08-20T02:38:32ZengThe MIT PressHarvard Data Science Review2644-23532024-04-016210.1162/99608f92.7ca04767In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific ResearchElle O'BrienJordan Mickhttp://dx.doi.org/10.1162/99608f92.7ca04767
spellingShingle Elle O'Brien
Jordan Mick
In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
Harvard Data Science Review
title In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
title_full In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
title_fullStr In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
title_full_unstemmed In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
title_short In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
title_sort in the academy data science is lonely barriers to adopting data science methods for scientific research
url http://dx.doi.org/10.1162/99608f92.7ca04767
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