多样性补充库的实施和影响
medRxiv : the preprint server for health sciences
|February 20, 2025
概括
机构可以通过实施集中式存储库和支持系统来改善多样性补充应用. 这种方法解决了实际障碍,可能会使应用程序增加一倍,并培养更多样化的生物医学研究工作人员.
科学领域:
- 生物医学研究 劳动力多样性 劳动力多样性
- 翻译科学 翻译科学
- 研究管理研究管理
背景情况:
- 国家卫生研究院 (NIH) 的多样性补充旨在增加劳动力的多样性.
- 实际障碍阻碍了这些宝贵资源的有效利用.
- 加州大学圣地亚哥分校 (UCSD) 的奥尔特曼临床和翻译研究研究所 (ACTRI) 发现需要改进申请支持.
研究的目的:
- 开发和实施一个机构存储库和支持系统,以增强NIH多样性补充应用程序.
- 克服潜在申请人面临的实际障碍.
- 为其他机构创建一个可扩展的模型.
主要方法:
- 建立了一个安全的,基于网络的存储库,包含成功的NIH多样性补充例子.
- 实施了一个匹配系统,将申请人与导师联系起来.
- 为潜在的申请人提供基于网络的资源.
- 在2021年6月推出该系统,并跟踪访问和应用数据.
主要成果:
- 该存储库包含了14个NIH部门的51个补充例子.
- 自实施以来,已有51名潜在申请人访问.
- 早期数据表明,与实施前的时期相比,UCSD的多样性补充申请翻了一番.
- 导师匹配组件的有限吸收.
结论:
- 一个集中的存储库和支持系统可以有效地解决NIH多样性补充申请的障碍.
- 这种模型显示出增加应用的希望,并为更多样化的生物医学研究工作人员做出贡献.
- 需要进一步改进,以应对实施挑战并最大限度地利用资源.
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