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

Patterns (N Y). 2021 Dec 10;2(12):100393. doi: 10.1016/j.patter.2021.100393. eCollection 2021 Dec 10.

ABSTRACT

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.

PMID:34950908 | PMC:PMC8672189 | DOI:10.1016/j.patter.2021.100393

By Nevin Manimala

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