How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector

The paper highlights how each step of a data science pipeline can be performed in a “responsible” way, taking into account privacy, ethics, and quality issues. Several examples from the Italian public sector contribute to clarifying how data collections and data analyses can be carried out under a r...

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Detalles Bibliográficos
Autores principales: Scannapieco, Monica, Virgillito, Antonino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672189/
https://www.ncbi.nlm.nih.gov/pubmed/34950908
http://dx.doi.org/10.1016/j.patter.2021.100393
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author Scannapieco, Monica
Virgillito, Antonino
author_facet Scannapieco, Monica
Virgillito, Antonino
author_sort Scannapieco, Monica
collection PubMed
description The paper highlights how each step of a data science pipeline can be performed in a “responsible” way, taking into account privacy, ethics, and quality issues. Several examples from the Italian public sector contribute to clarifying how data collections and data analyses can be carried out under a responsible view.
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spelling pubmed-86721892021-12-22 How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector Scannapieco, Monica Virgillito, Antonino Patterns (N Y) Opinion The paper highlights how each step of a data science pipeline can be performed in a “responsible” way, taking into account privacy, ethics, and quality issues. Several examples from the Italian public sector contribute to clarifying how data collections and data analyses can be carried out under a responsible view. Elsevier 2021-12-10 /pmc/articles/PMC8672189/ /pubmed/34950908 http://dx.doi.org/10.1016/j.patter.2021.100393 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Opinion
Scannapieco, Monica
Virgillito, Antonino
How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
title How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
title_full How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
title_fullStr How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
title_full_unstemmed How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
title_short How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
title_sort how to be responsible in all the steps of a data science pipeline: the case of the italian public sector
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672189/
https://www.ncbi.nlm.nih.gov/pubmed/34950908
http://dx.doi.org/10.1016/j.patter.2021.100393
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