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: 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
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