HeLEX - Centre for Health, Law and Emerging Technologies at Oxford. Nuffield Department of Population Health, University of Oxford, Oxford, UK.
J Med Ethics. 2017 Nov;43(11):741-743. doi: 10.1136/medethics-2015-103068. Epub 2017 May 8.
As the recent inaugural Ethical, Legal, and Social Issues (ELSI) 2.0 conference made clear, the effects of information communication technology (ICT) are pervasive in biomedical research. Data initiatives are arising in all corners of biomedicine. Data sharing efforts already promised to surpass even the ambitious goals of the National Human Genome Research Institute, only 5 years after publication of its 10-year vision. ELSI research was established, in part, to address challenges of open data access and data sharing. However, by and large, ELSI research projects address particular concerns of a given population, jurisdiction, type of research practice or type of data. This does not necessarily facilitate coherent data policy for sustainable data stewardship. Forward-looking, data friendly strategies need to be considered. Orchestration strategies are needed which overcome barriers to collective action. Here we present challenges policymakers face, and suggest three basics steps towards meeting them. First, policymakers must recognise the systematic change that occurs when ICT enables dataflow itself to become an organising principle of biomedical research. Second, methods for identifying and gathering types of metadata suitable for ELSI research ought to be developed and regulated. Third, policymakers need to organise in ways that mirror the new vision for data-enabled research that data technologies are making possible, as ELSI 2.0 encourages researchers to do. Taking these steps will help ensure research evolves in ways that warrants trust of the public while still supporting widespread ethical access to necessary data, research subjects, samples and findings.
随着最近举行的首届伦理、法律和社会问题(ELSI)2.0 会议清楚表明,信息通信技术(ICT)的影响在生物医学研究中无处不在。数据计划正在生物医学的各个角落兴起。数据共享工作已经承诺超越国家人类基因组研究所(National Human Genome Research Institute)的雄心勃勃的目标,仅仅在其 10 年愿景发布 5 年后。ELSI 研究的部分目的是解决开放数据访问和数据共享的挑战。然而,总的来说,ELSI 研究项目解决了特定人群、司法管辖区、研究实践类型或数据类型的特定问题。这不一定有助于为可持续的数据管理制定连贯的数据政策。需要考虑前瞻性、对数据友好的策略。需要制定协调策略,以克服集体行动的障碍。在这里,我们介绍政策制定者面临的挑战,并提出了应对这些挑战的三个基本步骤。首先,政策制定者必须认识到,当 ICT 使数据流本身成为生物医学研究的组织原则时,系统会发生变化。其次,应该开发和规范用于识别和收集适合 ELSI 研究的元数据类型的方法。第三,政策制定者需要以与数据技术使数据驱动型研究的新愿景相匹配的方式进行组织,正如 ELSI 2.0 鼓励研究人员所做的那样。采取这些步骤将有助于确保研究以值得公众信任的方式发展,同时仍然支持广泛获取必要的数据、研究对象、样本和发现。