TY - JOUR
T1 - Data protection and ethics requirements for multisite research with health data
T2 - A comparative examination of legislative governance frameworks and the role of data protection technologies
AU - Scheibner, James
AU - Ienca, Marcello
AU - Kechagia, Sotiria
AU - Troncoso-Pastoriza, Juan Ramon
AU - Raisaro, Jean Louis
AU - Hubaux, Jean Pierre
AU - Fellay, Jacques
AU - Vayena, Effy
N1 - Publisher Copyright:
© 2020 The Author(s) 2020. Published by Oxford University Press on behalf of Duke University School of Law, Harvard Law School, Oxford University Press, and Stanford Law School.
PY - 2020
Y1 - 2020
N2 - Personalised medicine can improve both public and individual health by providing targeted preventative and therapeutic healthcare. However, patient health data must be shared between institutions and across jurisdictions for the benefits of personalised medicine to be realised. Whilst data protection, privacy, and research ethics laws protect patient confidentiality and safety they also may impede multisite research, particularly across jurisdictions. Accordingly, we compare the concept of data accessibility in data protection and research ethics laws across seven jurisdictions. These jurisdictions include Switzerland, Italy, Spain, the United Kingdom (which have implemented the General Data Protection Regulation), the United States, Canada, and Australia. Our paper identifies the requirements for consent, the standards for anonymisation or pseudonymisation, and adequacy of protection between jurisdictions as barriers for sharing. We also identify differences between the European Union and other jurisdictions as a significant barrier for data accessibility in cross jurisdictional multisite research. Our paper concludes by considering solutions to overcome these legislative differences. These solutions include data transfer agreements and organisational collaborations designed to 'front load' the process of ethics approval, so that subsequent research protocols are standardised. We also allude to technical solutions, such as distributed computing, secure multiparty computation and homomorphic encryption.
AB - Personalised medicine can improve both public and individual health by providing targeted preventative and therapeutic healthcare. However, patient health data must be shared between institutions and across jurisdictions for the benefits of personalised medicine to be realised. Whilst data protection, privacy, and research ethics laws protect patient confidentiality and safety they also may impede multisite research, particularly across jurisdictions. Accordingly, we compare the concept of data accessibility in data protection and research ethics laws across seven jurisdictions. These jurisdictions include Switzerland, Italy, Spain, the United Kingdom (which have implemented the General Data Protection Regulation), the United States, Canada, and Australia. Our paper identifies the requirements for consent, the standards for anonymisation or pseudonymisation, and adequacy of protection between jurisdictions as barriers for sharing. We also identify differences between the European Union and other jurisdictions as a significant barrier for data accessibility in cross jurisdictional multisite research. Our paper concludes by considering solutions to overcome these legislative differences. These solutions include data transfer agreements and organisational collaborations designed to 'front load' the process of ethics approval, so that subsequent research protocols are standardised. We also allude to technical solutions, such as distributed computing, secure multiparty computation and homomorphic encryption.
KW - Advanced cryptography
KW - Biomedical data
KW - Data protection
KW - Data sharing
KW - Multisite research
KW - Personalised healthcare
UR - http://www.scopus.com/inward/record.url?scp=85096908428&partnerID=8YFLogxK
U2 - 10.1093/jlb/lsaa010
DO - 10.1093/jlb/lsaa010
M3 - Article
AN - SCOPUS:85096908428
SN - 2053-9711
VL - 7
JO - Journal of Law and the Biosciences
JF - Journal of Law and the Biosciences
IS - 1
ER -