Fides: Towards a Platform for Responsible Data Science

By Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, Gerhard Weikum. 2017

35 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Bill Howe
2. Jakko Kemper
3. Daan Kolkman
4. Julia Stoyanovich
5. Bernease Herman
6. Haoyue Ping
7. Matt Gee
8. Lei Xu

Citations in the corpus

• Transparent to whom? No algorithmic accountability without a critical audience (2018, background): “This continues through the phases of data wrangling, modelling, and deployment and should persist when algorithmic model results are interpreted and the algorithmic model maintained ‒ transparency remains a core guiding principle here (Stoyanovich et al., 2017).”
• Synthetic Data for Social Good (2017, background): “The work on DataSynthesizer is part of the Data, Responsibly project, and is a component of the Fides framework [22], which operationalizes responsibility in data sharing, integration, analysis and use.”