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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| 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 |
| Sumario: | 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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