The term research subject has traditionally been the preferred term in professional guidelines and academic literature to describe a patient or an individual taking part in biomedical research. In recent years, however, there has been a steady shift away from the use of the term 'research subject' in favour of 'research participant' when referring to individuals who take part by providing data to various kinds of biomedical and epidemiological research. This article critically examines this shift, reflecting on the different meanings (...) evoked by the terms 'subject' and 'participant', as well as examining recent examples of patient activism in research. It concludes by suggesting that the wholesale unreflective adoption of the term 'participant' is inappropriate and provides instead a guide on how to determine the circumstances in which the terms subject, participant and activist should legitimately be used. (shrink)

In times of global economic and political crises, the notion of solidarity is gaining new currency. This book argues that a solidarity-based perspective can help us to find new ways to address pressing problems. Exemplified by three case studies from the field of biomedicine: databases for health and disease research, personalised healthcare, and organ donation, it explores how solidarity can make a difference in how we frame problems, and in the policy solutions that we can offer.

Is Big Data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of Big Data science does not lie in the sheer quantity of data involved, but rather in the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community and the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments (...) generate the impression that data-intensive research is a new mode of doing science, with its own epistemology and norms. To assess this claim, one needs to consider the ways in which data are actually disseminated and used to generate knowledge. Accordingly, this article reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology. I focus on online databases as prominent infrastructures set up to organise and interpret such data and examine the wealth and diversity of expertise, resources and conceptual scaffolding that such databases draw upon. This illuminates some of the conditions under which Big Data needs to be curated to support processes of discovery across biological subfields, which in turn highlights the difficulties caused by the lack of adequate curation for the vast majority of data in the life sciences. In closing, I reflect on the difference that data quantity is making to contemporary biology, the methodological and epistemic challenges of identifying and analysing data given these developments, and the opportunities and worries associated with Big Data discourse and methods. (shrink)

Making research data readily accessible during a public health emergency can have profound effects on our response capabilities. The moral milieu of this data sharing has not yet been adequately explored. This article explores the foundation and nature of a duty, if any, that researchers have to share data, specifically in the context of public health emergencies. There are three notable reasons that stand in opposition to a duty to share one’s data, relating to: (i) data property and ownership, (ii) (...) just distribution of benefits and burdens and (iii) the contemporary ethos of science. We argue each reason can be successfully met with corresponding rationale in favour of data sharing. Further support for data sharing has been echoed in policies of health agencies, funding bodies and academic institutions; in documents on the ethical conduct of biomedical research; and in discussions on the nature of public health. From this, we ascertain that sharing data is the morally sound default position. This article then highlights the key roles reciprocity and solidarity play in supporting the practice of data sharing. We conclude with recommendations to regard public health research data as a common-pool resource in order to build a framework for stable data sharing management. (shrink)

This book develops some of the most important themes of Sen's works over the last decade. He argues in a rich and subtle approach that we should be concerned with people's capabilities rather than their resources or welfare.

In this paper I argue that bioethics is in crisis and that it will not have a future unless it begins to embrace a more Socratic approach to its leading assumptions. The absence of a critical and sceptical spirit has resulted in little more than a dominant ideology. I focus on three key issues. First, that too often bioethics collapses into medical ethics. Second, that medical ethics itself is beset by a lack of self-reflection that I characterize here as a (...) commitment to three dogmas. Third, I offer a more positive perspective by suggesting how bioethics may benefit from looking towards public health ethics as a new source of inspiration and direction. (shrink)

In his Tanner Lecture of 1979 called ‘Equality of What?’ Amartya Sen asked what metric egalitarians should use to establish the extent to which their ideal is realized in a given society. What aspect of a person’s condition should count in a fundamental way for egalitarians, and not merely as cause of or evidence of or proxy for what they regard as fundamental?

In order to study the relationship between genes and diseases, the increasing availability and sharing of phenotypic and genotypic data have been promoted as an imperative within the scientific community. In parallel with data sharing practices by clinicians and researchers, recent initiatives have been observed in which individuals are sharing personal genomic data. The involvement of individuals in such initiatives is facilitated by the increased accessibility of personal genomic data, offered by private test providers along with availability of online networks. (...) Personal webpages and on-line data sharing platforms such as Consent to Research, Free the Data, and Genomes Unzipped are being utilized to host and share genotypes, electronic health records and family history uploaded by individuals. Although personal genomic data sharing initiatives vary in nature, the emphasis on the individuals’ control on their data in order to benefit research and ultimately health care has seen as a key theme across these initiatives. In line with the growing practice of personal genomic data sharing, this paper aims to shed light on the potential challenges surrounding these initiatives. As in the course of these initiatives individuals are solicited to individually balance the risks and benefits of sharing their genomic data, their awareness of the implications of personal genomic data sharing for themselves and their family members is a necessity. Furthermore, given the sensitivity of genomic data and the controversies around their complete de-identifiability, potential privacy risks and harms originating from unintended uses of data have to be taken into consideration. (shrink)

ArgumentSince the 1970s, Danish population registries were increasingly used for research purposes, in particular in the health sciences. Linked with a large number of disease registries, these data infrastructures became laboratories for the development of both information technology and epidemiological studies. Denmark's system of population registries had been centralized in 1924 and was further automated in the 1960s, with individual identification numbers (CPR-numbers) introduced in 1968. The ubiquitous presence of CPR-numbers in administrative routines and everyday lives created a continually growing (...) data archive of the entire population. The resulting national-level database made possible unprecedented record linkage, a feature epidemiologists and biomedical scientists used as a resource for population health research. The specific assemblages that emerged with their practices of data mining were constitutive of registry-based epidemiology as a style of thought and of a distinct relationship between science, citizens, and the state that emerged as “Scandinavian.”. (shrink)

Why has autonomy been a leading idea in philosophical writing on bioethics, and why has trust been marginal? In this important book, Onora O'Neill suggests that the conceptions of individual autonomy so widely relied on in bioethics are philosophically and ethically inadequate, and that they undermine rather than support relations of trust. She shows how Kant's non-individualistic view of autonomy provides a stronger basis for an approach to medicine, science and biotechnology, and does not marginalize untrustworthiness, while also explaining why (...) trustworthy individuals and institutions are often undeservingly mistrusted. Her arguments are illustrated with issues raised by practices such as the use of genetic information by the police or insurers, research using human tissues, uses of new reproductive technologies, and media practices for reporting on medicine, science and technology. Autonomy and Trust in Bioethics will appeal to a wide range of readers in ethics, bioethics and related disciplines. (shrink)

Genetic database initiatives have given rise to considerable debate about their potential harms and benefits. The question arises as to whether existing ethical frameworks are sufficient to mediate between the competing interests at stake. One approach is to strengthen mechanisms for obtaining informed consent and for protecting confidentiality. However, there is increasing interest in other ethical frameworks, involving solidarity — participation in research for the common good — and the sharing of the benefits of research.