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Responsible data science is a responsibility for all
In a collaboration between TU Delft and Utrecht University, the authors recently wrote a qualitative study on the gap between regulatory (ethical and legal) frameworks and the daily practices of data professionals. This People of Data highlights the importance of collaboration in the success of inte...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583120/ https://www.ncbi.nlm.nih.gov/pubmed/36277817 http://dx.doi.org/10.1016/j.patter.2022.100607 |
_version_ | 1784812998530957312 |
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author | Fest, Isabelle Wieringa, Maranke Wagner, Ben |
author_facet | Fest, Isabelle Wieringa, Maranke Wagner, Ben |
author_sort | Fest, Isabelle |
collection | PubMed |
description | In a collaboration between TU Delft and Utrecht University, the authors recently wrote a qualitative study on the gap between regulatory (ethical and legal) frameworks and the daily practices of data professionals. This People of Data highlights the importance of collaboration in the success of interdisciplinary research and the responsibility of data scientists in safeguarding the public and ethical values. |
format | Online Article Text |
id | pubmed-9583120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-95831202022-10-21 Responsible data science is a responsibility for all Fest, Isabelle Wieringa, Maranke Wagner, Ben Patterns (N Y) People of Data In a collaboration between TU Delft and Utrecht University, the authors recently wrote a qualitative study on the gap between regulatory (ethical and legal) frameworks and the daily practices of data professionals. This People of Data highlights the importance of collaboration in the success of interdisciplinary research and the responsibility of data scientists in safeguarding the public and ethical values. Elsevier 2022-10-14 /pmc/articles/PMC9583120/ /pubmed/36277817 http://dx.doi.org/10.1016/j.patter.2022.100607 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | People of Data Fest, Isabelle Wieringa, Maranke Wagner, Ben Responsible data science is a responsibility for all |
title | Responsible data science is a responsibility for all |
title_full | Responsible data science is a responsibility for all |
title_fullStr | Responsible data science is a responsibility for all |
title_full_unstemmed | Responsible data science is a responsibility for all |
title_short | Responsible data science is a responsibility for all |
title_sort | responsible data science is a responsibility for all |
topic | People of Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583120/ https://www.ncbi.nlm.nih.gov/pubmed/36277817 http://dx.doi.org/10.1016/j.patter.2022.100607 |
work_keys_str_mv | AT festisabelle responsibledatascienceisaresponsibilityforall AT wieringamaranke responsibledatascienceisaresponsibilityforall AT wagnerben responsibledatascienceisaresponsibilityforall |