Guide for Ethical Research

This guide covers topics related to ethical aspects in data science.

Data scientists make data-driven decisions that require the collection of data and model building approaches that can have serious implications for health, security, politics, society and everything associated with them. Researchers or any kind of stakeholders in data science have an obligation to consider the ethical standards and their impact of people’s lives [Mar18].

An illustration of a wooden judge hammer labeled with law is hitting a plank labeled with ethics with a quotation "consider necessary restriction around sharing different types of data

Fig. 76 Research Ethics. The Turing Way project illustration by Scriberia. Used under a CC-BY 4.0 licence. DOI: 10.5281/zenodo.3332807.

In this guide, we invite discussions and guidance on ethical considerations that a data scientist should keep in mind to ensure not only that their work maintains a high level of moral integrity, but also that their work is carried out at the highest scientific standards.

Check out our contributing guidelines to get involved.