CRII: HCC: RUI: Transparency and Access Control in Life Science Data Sharing

CRII：HCC：RUI：生命科学数据共享中的透明度和访问控制

• 批准号: 2225345
• 负责人: Sarah Yeung
• 金额: $ 17.3万
• 依托单位: Hamilton College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2225345&HistoricalAwards=false
• 关键词: CRII; HCC; RUI; Transparency; Access

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Generating and sharing large quantities of data are now a fundamental part of life science research and have taken a key role in such collaborations. This project will contribute a deeper understanding of the challenges of data sharing in life science research, while placing usability at the forefront of design. It will explore new approaches to facilitating data sharing between collaborating life scientists by diving deep into the issues surrounding the challenges associated with access control through ethnographic interviews and by developing new systems that simplify and expedite data sharing. Data sharing is considered one of the biggest challenges faced by life scientists, as different disciplines produce data with different characteristics, methods, and data sharing needs and criteria. Improvements to the data sharing process will aid life scientists in advancing biological and biomedical research, which could dramatically improve the health and well-being of individuals in society.Four key insights regarding current access control systems guide this research: (1) Lack of default or transferable access settings leads to inefficiency. (2) Lack of visible sharing settings can result in accidental data sharing. (3) Inconsistent ownership over files can lead to inaccessible data once researchers leave the collaboration. (4) Data-sharing technologies that are institution agnostic are the most used. The research will clarify such challenges that are associated with access control when sharing data with collaborators, through semi-structured interviews and observation of life scientists when they are sharing data. A software system will be developed and released open-source, that addresses potential usability breakdowns in existing systems and provides features that may be missing from commonly used off-the-shelf products.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。生成和共享大量数据现在是生命科学研究的基本组成部分，并在此类合作中发挥着关键作用。该项目将有助于更深入地了解生命科学研究中数据共享的挑战，同时将可用性置于设计的最前沿。它将探索新的方法，以促进合作的生命科学家之间的数据共享，通过深入研究与访问控制相关的挑战，通过人种学访谈和开发新的系统，简化和加快数据共享的问题。数据共享被认为是生命科学家面临的最大挑战之一，因为不同学科产生的数据具有不同的特征，方法以及数据共享需求和标准。对数据共享过程的改进将有助于生命科学家推进生物和生物医学研究，这可能会大大改善社会中个人的健康和福祉。关于当前访问控制系统的四个关键见解指导了这项研究：（1）缺乏默认或可转移的访问设置导致效率低下。(2)缺少可见的共享设置可能会导致意外的数据共享。(3)一旦研究人员离开协作，文件所有权的不一致可能导致无法访问数据。(4)与机构无关的数据共享技术使用最多。该研究将通过半结构化访谈和生命科学家共享数据时的观察，澄清与合作者共享数据时与访问控制相关的挑战。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。