As biobank research has become increasingly widespread within biomedical research, study-specific consent to each study, a model derived from research involving traditional interventions on human subjects, has for the sake of feasibility gradually given way to alternative consent models which do not require consent for every new study. Besides broad consent these models include tiered, dynamic, and meta-consent. However, critics have pointed out that it is normally not known at the time of enrolment in what ways samples deposited in a (...) biobank may be used in future research and that, for a consent to be informed, exactly this kind of knowledge is required. Therefore, there is an ongoing debate about the ethical acceptability of going for less than study-specific consent. In light of this debate we address the question of how to best protect participants against relevant risks and violations of autonomy. We apply the central aims of the informed consent process to the unique circumstances of biobank research where samples and data in many cases are stored for long periods of time and reused in subsequent studies. Thereby we are able to formulate a set of criteria focusing both on the risk of informational harm and the potential violation of participants’ values. We compare existing models of consent based on their ability to satisfy the criteria, and we find that the broad consent model offers the best level of protection for participants, although, it suffers from a few important deficiencies with regards to protection against participant value violations and long-term protection of autonomy, if it is applied without qualifications. For this reason, we propose modifications to the current broad consent model, in order to ensure that it provides protection of autonomy and participant values through strong ethical review and continuous communication. We conclude that a modified form of broad consent is ethically superior in biobank research, not only because it is most feasible but primarily because it offers the best available protection against the hazards facing research subjects in this form of research. (shrink)

Digital farming technologies promise to help farmers make well-informed decisions that improve the quality and quantity of their production, with less labour and less impact on the environment. This future, however, can only become a reality if farmers are willing to share their data with agribusinesses that develop digital technologies. To foster trust in data sharing, in Europe the EU Code of Conduct for agricultural data sharing by contractual agreement was launched in 2018 which encourages transparency about data use. This (...) article looks at the EU Code through the lens of literature on trust and contract agreements. We agree with the makers of the EU Code that a contract can make an important contribution to trust relationships as it is needed to mitigate the detrimental effects of power relationships between experts and non-experts. Building on Onora O’Neills perspective to trust, however, we argued that a contract can only be successful in fostering trust when information is comprehended by the more vulnerable party in this relationship who has to sign the contract, the more powerful partner takes responsibility to provide that information, and information is tailored to the information needs of the party signing the contract, even when data are re-used over a longer period. In addition, we think that differences between trust relationships and relationships of accountability, give reason to add to informed consent other more substantive ethical components in a more encompassing code of conduct. (shrink)

For nearly twenty-five years, federal regulation of privacy issues in research involving human subjects was the primary province of the federal rule for Protection of Human Subjects. As of April 14, 2003, the compliance date for the Privacy Rule of the Health Insurance Portability and Accountability Act, however, the Common Rule and the Privacy Rule jointly regulate research privacy. Although, in theory, the Privacy Rule is intended to complement the Common Rule, there are several areas in which the rules diverge. (...) In some instances the inconsistencies result in gaps in privacy protection; in other instances the inconsistencies result in added burdens on researchers without additional privacy protections. In all instances, the lack of harmonization of these rules has created confusion, frustration, and misunderstanding by researchers, research subjects, and institutional review boards. In this article, I review the major provisions of the Privacy Rule for research, explain the areas in which the Privacy Rule and Common Rule differ, and conclude that the two rules should be revised to promote consistency and maximize privacy protections while minimizing the burdens on research. (shrink)

For nearly twenty-five years, federal regulation of privacy issues in research involving human subjects was the primary province of the federal rule for Protection of Human Subjects. As of April 14, 2003, the compliance date for the Privacy Rule of the Health Insurance Portability and Accountability Act, however, the Common Rule and the Privacy Rule jointly regulate research privacy. Although, in theory, the Privacy Rule is intended to complement the Common Rule, there are several areas in which the rules diverge. (...) In some instances the inconsistencies result in gaps in privacy protection; in other instances the inconsistencies result in added burdens on researchers without additional privacy protections. In all instances, the lack of harmonization of these rules has created confusion, frustration, and misunderstanding by researchers, research subjects, and institutional review boards. In this article, I review the major provisions of the Privacy Rule for research, explain the areas in which the Privacy Rule and Common Rule differ, and conclude that the two rules should be revised to promote consistency and maximize privacy protections while minimizing the burdens on research. (shrink)

Proposed changes to the Common Rule would require publicly funded researchers to disclose whether a subject's biospecimens could be used for commercial profit and whether the subject will share in those proceeds. Disclosing commercial interests will inform research participants that their tissue may have commercial value, a possibility that those individuals might not have previously considered. The proposed changes may then provide people with an opportunity to negotiate commercial rights in their biospecimens despite the well-accepted legal precedent that individuals maintain (...) no interests in their excised tissue. (shrink)

In the trauma surrounding mass disasters, the need to identify victims accurately and as soon as possible is critical. DNA identification testing is increasingly used to identify human bodies and remains where the deceased cannot be identified by traditional means. This form of testing compares DNA taken from the body of the deceased with DNA taken from their personal items or from close biological relatives. DNA identification testing was used to identify the victims of the terrorist attack on the World (...) Trade Center in New York on September 11, 2001, and of the victims of the Tsunami that hit Asia on December 26, 2004. Shortly after the 9/11 attack, police investigators asked the victims' families for personal items belonging to the missing, and for DNA samples from family members themselves. The New York medical examiner's office coordinated the DNA identification testing program; however, some of the identification work was contracted out to private laboratories. (shrink)

The practice of biobank networking—where biobanks are linked together, and researchers share human tissue samples—is an increasingly common practice both domestically and internationally. The benefits from networking in this way are well established. However, there is a need for ethical oversight in the sharing of human tissue. Ethics committees will increasingly be called upon to approve the sharing of tissue and data with other researchers, often via biobanks, and little guidance currently exists for such committees. In this paper, we provide (...) a structured approach to the ethical review of on-sharing of data and tissue for research purposes. (shrink)

Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel consent framework which we call “demonstrated consent” that leverages blockchain technology and generative AI to address this problem. In a demonstrated consent model, each donated sample is associated with a unique non-fungible token (NFT) on a blockchain, which records in its metadata (...) information about the planned and past uses of the sample in research, and is updated with each use of the sample. This information is accessible to a large language model (LLM) customized to present this information in an understandable and interactive manner. Thus, our model uses blockchain and generative AI technologies to track, make available, and explain information regarding planned and past uses of donated samples. (shrink)