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Hallinan argues that the substantive framework presented by the GDPR offers an admirable base-line level of protection for the range of genetic privacy rights engaged by biobanking.
Part I Setting the scene -- Introduction: Individual rights, the public interest and biobank research 4000 (8) -- Genetic data and privacy protection -- Part II GDPR and European responses -- Biobank governance and the impact of the GDPR on the regulation of biobank research -- Controller' and processor's responsibilities in biobank research under GDPR -- Individual rights in biobank research under GDPR -- Safeguards and derogations relating to processing for archiving purposes in the scientific purposes: Article 89 analysis for biobank research -- A Pan-European analysis of Article 89 implementation and national biobank research regulations -- EEA, Switzerland analysis of GDPR requirements and national biobank research regulations -- Part III National insights in biobank regulatory frameworks -- Selected 10-15 countries for reports: Germany -- Greece -- France -- Finland -- Sweden -- United Kingdom -- Part IV Conclusions -- Reflections on individual rights, the public interest and biobank research, ramifications and ways forward. .
Biobanks are critical infrastructure for medical research but they are also the subject of considerable ethical and legal uncertainty. Given that biobanks process large quantities of genomic data, questions have emerged as to how genetic privacy should be protected. What types of genetic privacy rights and rights holders should be protected and to what extent? Since 25th May 2018 the General Data Protection Regulation (GDPR) has applied and now occupies a key position in the European legal framework for the regulation of biobanking. This book takes an in-depth look at the function, problems, and opportunities presented by European data protection law under the GDPR as a framework for the protection of genetic privacy in biobanking in Europe. Hallinan argues that the substantive framework presented by the GDPR already offers an admirable base-line level of protection for the range of genetic privacy rights engaged by biobanking. The book further argues that, whilst numerous problems with this standard of protection are indeed identifiable, the GDPR offers the flexibility to accommodate solutions to these problems, as well as the procedural mechanisms to realise these solutions.
Privacy is an unwieldy concept that has eluded an essentialised definition despite its centrality and importance in the body of bioethics. The compilation presented in this volume represents continuing discussions on the theme of privacy in the context of genetic information. It is intended to present a wide range of expert opinion in which the notion of privacy is examined from many perspectives, in different contexts and imperatives, and in different societies, with the hope of advancing an understanding of privacy through the examination and critique of some of its evolving component concepts such as notions of what constitute the personal, the context of privacy, the significance and impact of the relational interests of others who may share the same genetic inheritance, and mechanisms for the protection of privacy (as well as of their limitations), among others. More specifically, the discussions in this volume encourages us to think broadly about privacy, as encompassing values that are entailed in the sociality of context and of relations, and also as freedom from illegitimate and excessive surveillance. A long-standing question that continues to challenge us is whether genetic information should be regarded as exceptional, as it is often perceived. A conclusion that could be derived from this volume is that while genetic information may be significant, it is not exceptionally so. The work presented in this volume underlines the continuing and growing relevance of notions of privacy to genomic science, and the need to take ownership of a genetic privacy for the future through broad, rigorous and open discussion.Contributors: Alastair V Campbell, Benjamin Capps, Jacqueline JL Chin, Oi Lian Kon, Kenji Matsui, Thomas H Murray, Nazirudin Mohd Nasir, Dianne Nicol, Anh Tuan Nuyen, Onora O'Neill, Margaret Otlowski, Yvette van der Eijk, Chunshui Wang, Ross S White.
Research using genetic data raises various concerns relating to privacy protection. Many of these concerns can also apply to research that uses other personal data, but not with the same implications for failure. The norms of exclusivity associated with a private life go beyond the current legal concept of personal data to include genetic data that relates to multiple identifiable individuals simultaneously and anonymous data that could be associated with any number of individuals in different, but reasonably foreseeable, contexts. It is the possibilities and implications of association that are significant, and these possibilities can only be assessed if one considers the interpretive potential of data. They are missed if one fixates upon its interpretive pedigree or misunderstands the meaning and significance of identification. This book demonstrates how the public interest in research using genetic data might be reconciled with the public interest in proper privacy protection.
In the contemporary information society, organisations increasingly rely on the collection and analysis of large-scale data (popularly called ‘big data’) to make decisions. These processes, which take place largely beyond the individual’s knowledge, produce a cascade of effects that go beyond privacy and data protection. Should we focus on the possibilities of tackling these often negative effects through other areas of law, or maybe even find new solutions to cope with the dark side of big data? This ground-breaking book is the first to address this crucially important question in detail. Among the issues raised in the analysis are such vital elements as the following: − what is meant by ‘big data’; – ‘privacy’ according to the European Court of Human Rights and the Court of Justice of the European Union; – what the European Union legal framework on privacy and data protection consists of and how it functions in the light of big data; – what companies, governments and other organisations are permitted to do with big data under the current regulatory framework; – the central importance of personal autonomy; – circumstances that influence whether or not the right to privacy is triggered; – big data’s possible impact on democracy through, inter alia, potentially limiting freedom of expression; – how governmental or corporate surveillance chills the receiver’s gathering of information and ideas; – selective offering of choices or information, or manipulation of people’s ideas; – procedural aspects that influence the extrapolation of normative concepts of privacy and data protection; and – how discrimination occurs in big data. This book foregrounds a critical scrutiny of commercial uses of big data – its scale, its limited capacity for independent oversight and the expected prevalence of interference with individuals’ rights. The author’s conclusions explore possible legal alternatives to mitigate the negative impact of big data, using legal instruments, case law and legal academic literature in her analysis. Because the amount of digital data keeps growing and the private lives of individuals are increasingly taking place online – and because of the opacity of the big data process, the fundamental values that are at stake, and the speed of technological developments compared to the pace of legal reform – this comprehensive assessment of flaws in the current framework and possible practical solutions will be warmly welcomed by practitioners, policymakers and government officials in all legal fields related to privacy and data protection.
In the last few years, the boom in biobanking has prompted a lively debate on a host of interrelated legal issues, such as the Gordian knot of the ownership of biological materials, as well as privacy concerns. The latter are due to the difficulty of accepting that biological samples must be completely anonymous without making it practically impossible to exploit their information potential. The issues also include the delicate role and the changing content of the donor’s “informed consent” as the main legal tool that may serve to link the privacy and property interests of donors with the research interests and the set of principles that should be at the core of the biobanking practice. Lastly, the IP issues and the patentability of biological samples as well as the protection of databases storing genetic information obtained from the samples are covered. Collecting eighteen essays written by eminent scholars from Italy, the US, the UK and Canada, this book provides new solutions to these problems. From a comparative viewpoint, it explores the extent to which digital technology may assist in tackling the numerous regulatory issues raised by the practice of biobanking for research purposes. These issues may be considered and analyzed under the traditional paradigms of Property, Privacy, Informed Consent and Intellectual Property.
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.
When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.
Recent years have seen a growing tendency for social scientists to collect biological specimens such as blood, urine, and saliva as part of large-scale household surveys. By combining biological and social data, scientists are opening up new fields of inquiry and are able for the first time to address many new questions and connections. But including biospecimens in social surveys also adds a great deal of complexity and cost to the investigator's task. Along with the usual concerns about informed consent, privacy issues, and the best ways to collect, store, and share data, researchers now face a variety of issues that are much less familiar or that appear in a new light. In particular, collecting and storing human biological materials for use in social science research raises additional legal, ethical, and social issues, as well as practical issues related to the storage, retrieval, and sharing of data. For example, acquiring biological data and linking them to social science databases requires a more complex informed consent process, the development of a biorepository, the establishment of data sharing policies, and the creation of a process for deciding how the data are going to be shared and used for secondary analysis-all of which add cost to a survey and require additional time and attention from the investigators. These issues also are likely to be unfamiliar to social scientists who have not worked with biological specimens in the past. Adding to the attraction of collecting biospecimens but also to the complexity of sharing and protecting the data is the fact that this is an era of incredibly rapid gains in our understanding of complex biological and physiological phenomena. Thus the tradeoffs between the risks and opportunities of expanding access to research data are constantly changing. Conducting Biosocial Surveys offers findings and recommendations concerning the best approaches to the collection, storage, use, and sharing of biospecimens gathered in social science surveys and the digital representations of biological data derived therefrom. It is aimed at researchers interested in carrying out such surveys, their institutions, and their funding agencies.