:This article examines the moralistic language and arguments used in relation to genetics. The focus is on three practices: the claims that there is a duty to know about one’s own genetic makeup, assertions that genetic information should be used to inform reproductive decisions, and the proposition that there are moral reasons to participate in biobank research. With these three, the author contends that there are equally good, if not better, arguments to challenge them from a Millian perspective. Furthermore, especially (...) in the current political climate, there is a need to respect people’s privacy concerns. (shrink)

The Nordic countries aim to have a unique place within the European and global health data economy. They have extensive nationally maintained and centralized health data records, as well as numerous biobanks where data from individuals can be connected based on personal identification numbers. Much of this phenomenon can be attributed to the emergence and development of the Nordic welfare state, where Nordic countries sought to systematically collect large amounts of population data to guide decision making and improve the health (...) and living conditions of the population. Recently, however, the so-called Nordic gold mine of data is being re-imagined in a wholly other context, where data and its ever-increasing logic of accumulation is seen as a driver for economic growth and private business development. This article explores the development of policies and strategies for health data economy in Denmark and Finland. We ask how nation states try to adjust and benefit from new pressures and opportunities to utilize their data resources in data markets. This raises questions of social sustainability in terms of states being producers, providers, and consumers of data. The data imaginaries related to emerging health data markets also provide insight into how a broad range of different data sources, ranging from hospital records and pharmacy prescriptions to biobank sample data, are brought together to enable “full-scale utilization” of health and welfare data. (shrink)