How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector.
Where this comes from
- Record sourced from PubMed, PMID 34950908.
- Also identified by DOI 10.1016/j.patter.2021.100393 and PMC identifier 8672189.
- Licence recorded as CC BY-NC-ND.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.