Show simple item record

dc.contributor.authorVayena, Effy
dc.contributor.authorGasser, Urs
dc.contributor.authorWood, Alexandra B
dc.contributor.authorO'Brien, David
dc.contributor.authorAltman, Micah
dc.date.accessioned2016-09-26T17:20:47Z
dc.date.issued2016
dc.identifier.citationVayena, Effy, Urs Gasser, Alexandra Wood, David O'Brien, and Micha Altman. 2016. Elements of a New Ethical Framework for Big Data Research. Washington and Lee Law Review Online 72 (3): Article 5.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:28552577
dc.description.abstractEmerging large-scale data sources hold tremendous potential for new scientific research into human biology, behaviors, and relationships. At the same time, big data research presents privacy and ethical challenges that the current regulatory framework is ill-suited to address. In light of the immense value of large-scale research data, the central question moving forward is not whether such data should be made available for research, but rather how the benefits can be captured in a way that respects fundamental principles of ethics and privacy. In response, this Essay outlines elements of a new ethical framework for big data research. It argues that oversight should aim to provide universal coverage of human subjects research, regardless of funding source, across all stages of the information lifecycle. New definitions and standards should be developed based on a modern understanding of privacy science and the expectations of research subjects. In addition, researchers and review boards should be encouraged to incorporate systematic risk-benefit assessments and new procedural and technological solutions from the wide range of interventions that are available. Finally, oversight mechanisms and the safeguards implemented should be tailored to the intended uses, benefits, threats, harms, and vulnerabilities associated with a specific research activity. Development of a new ethical framework with these elements should be the product of a dynamic multistakeholder process that is designed to capture the latest scientific understanding of privacy, analytical methods, available safeguards, community and social norms, and best practices for research ethics as they evolve over time. Such a framework would support big data utilization and help harness the value of big data in a sustainable and trust-building manner.en_US
dc.language.isoen_USen_US
dc.publisherWashington & Lee University School of Lawen_US
dc.relation.isversionofhttp://lawreview.journals.wlu.io/elements-of-a-new-ethical-framework-for-big-data-research/en_US
dash.licenseLAA
dc.titleElements of a New Ethical Framework for Big Data Researchen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalWashington and Lee Law Review Onlineen_US
dc.date.available2016-09-26T17:20:47Z
dash.contributor.affiliatedAltman, Micah
dash.contributor.affiliatedWood, Alexandra
dash.contributor.affiliatedO'Brien, David
dash.contributor.affiliatedGasser, Urs


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record