Big genetic data and its big data protection challenges

The use of various forms of big data have revolutionised scientific research. This includes research in the field of genetics in areas ranging from medical research to anthropology. Developments in this area have inter alia been characterised by the ability to sequence genome wide sequences (GWS) cheaply, the ability to share and combine with other forms of complimentary data and ever more powerful processing techniques that have become possible given tremendous increases in computing power. Given that many if not most of these techniques will make use of personal data it is necessary to take into account data protection law. This article looks at challenges for researchers that will be presented by the EU's General Data Protection Regulation, which will be in effect from May 2018. The very nature of research with big data in general and genetic data in particular means that in many instances compliance will be onerous, whilst in others it may even be difficult to envisage how compliance may be possible. Compliance concerns include issues relating to 'purpose limitation', 'data minimisation' and 'storage limitation'. Other requirements, including the need to facilitate data subject rights and potentially conduct a Data Protection Impact Assessment (DPIA) may provide further complications for researchers. Further critical issues to consider include the choice of legal base: whether to opt for what is often seen as the 'default option' (i.e. consent) or to process under the so called 'scientific research exception'. Each presents its own challenges (including the likely need to gain ethical approval) and opportunities that will have to be considered according to the particular context in question. (C) 2018 Paul Quinn & Liam Quinn. Published by Elsevier Ltd. All rights reserved.