In the expansion of health ecosystems, issues of responsibility and sustainability of the data science involved are central. The idea that these values should be central to the practice of data science is increasingly gaining traction, yet there is no agreement on what exactly makes data science responsible or sustainable because these concepts prove slippery when applied to a global field involving commercial, academic and governmental actors. This lack of clarity is causing problems in setting goals and boundaries for data (...) scientific practice, and risks fundamental disagreement on governance principles for this emerging field. We will argue in this commentary for a commons analytical framework as one approach to this problem, since it offers useful signposts for how to establish governance principles for shared resources. (shrink)

The essays in this book clarify the technical, legal, ethical, and social aspects of the interaction between eHealth technologies and surveillance practices. The book starts out by presenting a theoretical framework on eHealth and surveillance, followed by an introduction to the various ideas on eHealth and surveillance explored in the subsequent chapters. Issues addressed in the chapters include privacy and data protection, social acceptance of eHealth, cost-effective and innovative healthcare, as well as the privacy aspects of employee wellness programs using (...) eHealth, the use of mobile health app data by insurance companies, advertising industry and law enforcement, and the ethics of Big Data use in healthcare. A closing chapter draws on the previous content to explore the notion that people are 'under observation', bringing together two hitherto unrelated streams of scholarship interested in observation: eHealth and surveillance studies. In short, the book represents a first essential step towards cross-fertilization and offers new insights into the legal, ethical and social significance of being 'under observation'. (shrink)