توضیحات
ABSTRACT
The use of various forms of big data have revolutionised scientifc research. This includes research in the feld of genetics in areas ranging from medical research to anthropology. Developments in this area have inter alia been characterised by the ability to sequence genomewide 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 diffcult 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 ‘scientifc 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.
INTRODUCTION
The use of genetic data in research has been undergoing a fundamental shift. Researchers are no longer restricted to working with relatively small samples of individual genomes (for example DNA relating to a gene known to effect disease aetiology) but now work with various markers scattered across the entire genome. This type of data is used in various areas of research including efforts to discover new disease variants or to increase understanding of evolutionary processes. The feld of bioinformatics and computational genetics has evolved inter alia to allow researchers to focus on detailed ‘high-depth’ sequencing of the entire genome of individuals allowed by advances in genome sequencing technology and computing power.
Year: ۲۰۱۸
Publisher : ELSEVIER
By : Paul Quinn , Liam Quinn
File Information: English Language/ 19 Page / size: 631 KB
سال : ۱۳۹۶
ناشر : ELSEVIER
کاری از : پل کوین، لیام کوین
اطلاعات فایل : زبان انگلیسی / 19 صفحه / حجم : KB 631
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