ScHARe (Science Collaborative for Health disparities and Artificial intelligence bias Reduction) Cloud Research Collaboration Platform

ScHARe（减少健康差异和人工智能偏见的科学协作组织）云研究协作平台

• 批准号: 10723720
• 负责人: DIANE MICHAULT
• 金额: $ 40万
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-22 至 2023-04-21
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10723720
• 关键词: Artificial Intelligence; Big Data; Collaborations; Consensus; Data; Data Element; Data Science Core; Development; Health Policy; Health Sciences; Research; Research Personnel; Resources; Role; Science; Social Sciences; Training; United States National Institutes of Health; data sharing; health care delivery; health disparity; interoperability; outreach; repository; tool

ScHARe will fill a gap in NIH repositories focusing on social science data (SDoH), is will be a platform for the development of bias mitigation tools by users, and fulfill NIH Data Sharing policy for health disparity (HD), SDoH and healthcare delivery investigators/grantees and intramural investigators. Knowledgeable skilled cloud developers and data curators are needed to expedite the completion and launch of the ScHARe resource. In addition, HD and SDoH core data elements to increase interoperability and training of new underrepresented users are critical to increasing a diverse AI workforce and promote the use of big data to further understand Health Disparities, especially the role of SDoH.

ScHARe将填补NIH数据库中的空白，专注于社会科学数据（SDoH），将成为用户开发偏见缓解工具的平台，并履行NIH数据共享政策，用于健康差异（HD），SDoH和医疗保健提供调查员/受资助者和内部调查员。需要知识渊博、技能熟练的云开发人员和数据管理员来加快ScHARe资源的完成和启动。此外，HD和SDoH核心数据元素可以提高互操作性，并对新的代表性不足的用户进行培训，这对于增加多样化的人工智能劳动力和促进大数据的使用以进一步了解健康差异，特别是SDoH的作用至关重要。