Towards Adaptive Governance in Big Data Health Research: Implementing Regulatory Principles

Laurie Laurie G. (ed.). Cambridge Handbook of Health Research Regulation. Cambridge University Press, Cambridge, UK – Forthcoming.

24 Pages Posted: 2 Jan 2020

Date Written: October 2019

Abstract

In this chapter, we will first make the case for adaptive and principle-based governance of big data research. We will then outline six principles of adaptive governance (AFIRRM) for big data research and discuss key factors for their implementation into effective governance structures and processes.

Keywords: big data research, health research, research ethics, governance, adaptive governance, ethics

Suggested Citation

Blasimme, Alessandro and Vayena, Effy, Towards Adaptive Governance in Big Data Health Research: Implementing Regulatory Principles (October 2019). Laurie Laurie G. (ed.). Cambridge Handbook of Health Research Regulation. Cambridge University Press, Cambridge, UK – Forthcoming., Available at SSRN: https://ssrn.com/abstract=3501545 or http://dx.doi.org/10.2139/ssrn.3501545

Alessandro Blasimme (Contact Author)

ETH Zurich ( email )

Universitätstrasse 2
Zurich, 8092
Switzerland

Effy Vayena

ETH Zurich ( email )

Zurich, 8001
Switzerland

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