Cargando…
Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems
The distributed and global nature of data science creates challenges for evaluating the quality, import and potential impact of the data and knowledge claims being produced. This has significant consequences for the management and oversight of responsibilities and accountabilities in data science. I...
Autor principal: | Leonelli, Sabina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124067/ https://www.ncbi.nlm.nih.gov/pubmed/28336799 http://dx.doi.org/10.1098/rsta.2016.0122 |
Ejemplares similares
-
Data journeys in the sciences
por: Leonelli, Sabina, et al.
Publicado: (2020) -
Responsible and accountable data science
por: Wagner, Ben, et al.
Publicado: (2022) -
Introduction: biomedical knowledge in a time of COVID-19
por: Leonelli, Sabina
Publicado: (2022) -
The ‘ethic of knowledge’ and responsible science: Responses
to genetically motivated racism
por: Elgabsi, Natan
Publicado: (2021) -
How Does One “Open” Science? Questions of Value in Biological Research
por: Levin, Nadine, et al.
Publicado: (2016)