Data Hazards as an ethical toolkit for neuroscience

Susana Roman Garcia; Ceilidh Welsh; Nina H. Di Cara; David Sterratt; Nicola Romano; Melanie I Stefan

doi:10.31219/osf.io/yn2j9

Data Hazards as an ethical toolkit for neuroscience

Susana Roman Garcia^*, Ceilidh Welsh, Nina H. Di Cara, David Sterratt, Nicola Romano, Melanie I Stefan

^*Corresponding author for this work

Research output: Working paper › Preprint

Abstract

The Data Hazards framework is intended to encourage thinking about the ethical implications of data science projects. It takes the form of community-designed data hazard labels, similar to warning labels on chemicals, that can encourage reflection and discussion on what ethical risks are associated with a project and how they can be mitigated. In this article, we explain how the Data Hazards framework can apply to neuroscience. We demonstrate how the hazard labels can be applied to one of our own projects, on the computational modelling of postsynaptic mechanisms.

Original language	English
Publisher	OSF Preprints
DOIs	https://doi.org/10.31219/osf.io/yn2j9
Publication status	Published - 11 Mar 2024

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10.31219/osf.io/yn2j9Licence: Creative Commons: Attribution (CC-BY)

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Data Hazards as an ethical toolkit for neuroscience

Abstract

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Data Hazards as An Ethical Toolkit for Neuroscience

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