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基于关系数据库的资源来源可视化引擎:与BICAN数据的应用程序

Xiaojin Li¹, Yan Huang¹, Lydia Ng²

¹The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.

AMIA ... Annual Symposium proceedings. AMIA Symposium

|February 23, 2026

概括

生物医学研究中的来源追踪确保了数据的完整性. 资源来源可视化引擎 (RPVE) 通过交互式可视化和精确的数据链接来增强这一点,以便更好地探索和验证数据.

科学领域:

生物医学信息学是生物医学信息学.
数据科学是数据科学.
科学复制性科学复制性

背景情况:

数据完整性,安全性和问责制在医疗保健和生物医学研究中至关重要.
随着数据复杂性的增加,需要对可重复性,透明度和监管合规性 (例如,GDPR) 进行强有力的跟踪.
现有的来源跟踪方法 (基于日志,基于本体,加密,区块链) 在可扩展性,安全性和可用性方面面临挑战.

研究的目的:

引入一个先进的系统,即资源来源可视化引擎 (RPVE),用于集成的数据谱系跟踪和交互式可视化.
为了解决当前来源追踪系统的局限性.
提高生物医学研究中的数据完整性,检索效率和验证流程.

主要方法:

资源来源可视化引擎 (RPVE) 的开发.
实施随机的N-gram哈希标识符 (NHash ID) 以准确建立数据链接.
在BRAIN倡议细胞地图网络 (BICAN) 中集成交互式Sankey可视化引擎用于数据探索.

主要成果:

RPVE成功地将数据谱系跟踪与交互式可视化集成在一起.
通过NHash ID,可以在BICAN中实现精确的数据链接.
桑基可视化方便无的数据探索和数据谱系的理解.

结论:

通过提高数据检索效率和验证可靠性,RPVE增强了来源跟踪.
该系统有助于维护复杂的生物医学数据集中的数据完整性和透明度.
RPVE提供了一个可扩展和可用的解决方案,用于研究环境中先进的来源跟踪.

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