Abstract：
Changes in digital technology, increasing volume of data collection, and advances in methods have the potential to unleash the value of big data generated through the education of health professionals. Coupled with this potential are legitimate concerns about how data can be used or misused in ways that limit autonomy, equity, or harm stakeholders. This consensus statement is intended to address these issues by foregrounding the ethical imperatives for engaging with big data as well as the potential risks and challenges. Recognizing the wide and ever evolving scope of big data scholarship, we focus on foundational issues for framing and engaging in research. We ground our recommendations in the context of big data created through data sharing across and within the stages of the continuum of the education and training of health professionals. Ultimately, the goal of this statement is to support a culture of trust and quality for big data research to deliver on its promises for health professions education (HPE) and the health of society. Based on expert consensus and review of the literature, we report 19 recommendations in (1) framing scholarship and research through research, (2) considering unique ethical practices, (3) governance of data sharing collaborations that engage stakeholders, (4) data sharing processes best practices, (5) the importance of knowledge translation, and (6) advancing the quality of scholarship through multidisciplinary collaboration. The recommendations were modified and refined based on feedback from the 2022 Ottawa Conference attendees and subsequent public engagement. Adoption of these recommendations can help HPE scholars share data ethically and engage in high impact big data scholarship, which in turn can help the field meet the ultimate goal: high-quality education that leads to high-quality healthcare.
摘要：
数字技术的变化，不断增加的数据量，方法的进步有可能释放通过卫生专业人员教育产生的大数据的价值。再加上这种潜力是合理的担忧，即如何以限制自治的方式使用或滥用数据。股本，或伤害利益相关者。这一共识声明旨在通过预测参与大数据的道德要求以及潜在的风险和挑战来解决这些问题。认识到大数据奖学金的广泛和不断发展的范围，我们专注于框架和从事研究的基础问题。我们将我们的建议放在大数据的背景下，这些大数据是通过在卫生专业人员的教育和培训的连续过程中以及在这些阶段中共享数据而创建的。最终,该声明的目标是支持大数据研究的信任和质量文化，以实现其对卫生专业教育（HPE）和社会健康的承诺。基于专家共识和文献综述，我们在(1)通过研究构建奖学金和研究中报告了19项建议，(2)考虑到独特的道德规范，(3)参与利益相关者的数据共享协作治理，(4)数据共享流程最佳实践，(5)知识翻译的重要性,（6）通过多学科合作提高奖学金的质量。根据2022年渥太华会议与会者的反馈和随后的公众参与，对建议进行了修改和完善。采纳这些建议可以帮助HPE学者在道德上分享数据，并参与高影响力的大数据奖学金。这反过来可以帮助该领域实现最终目标：高质量的教育，导致高质量的医疗保健。
