BREAST CANCER SURVEILLANCE CONSORTIUM DATA RESOURCE

乳腺癌监测联盟数据资源

• 批准号: 8901824
• 负责人: REBECCA HUBBARD, PHD
• 金额: $ 110万
• 依托单位: KAISER FOUNDATION HEALTH PLAN OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8901824
• 关键词: Address; Advocate; Agreement; Area; Breast Cancer Detection; Breast Cancer Surveillance Consortium; Communication; Communities; Complex; Computer Security; Contractor; Contracts; Data; Data Analyses; Data Collection; Data Coordinating Center; Data Security; Data Set; Data Sources; Databases; Electronics; Ensure; Equipment; Human Resources; Information Systems; Information Technology; Investments; Malignant Neoplasms; Online Systems; Outcome; Principal Investigator; Registries; Rehabilitation therapy; Report (document); Research; Research Personnel; Resources; Services; Site; Time; Update; Work; clinical practice; cost efficient; improved; tool; web site

The major objective of the Breast Cancer Surveillance Consortium Statistical Coordinating Center (BCSC SCC) Data Resource contract is to maintain the BCSC database and improve its capacity to support use of the data by the scientific community. To ensure valid data interpretation and updating of cancer outcomes, the Contractor will analyze large complex databases of breast cancer screening in clinical practice, provide understanding of the real-time data collection at each data source, and maintain agreements with each of the BCSC sites to aid in interpreting site-specific data in the pooled database. A second objective of this contract is to develop new electronic interfaces and datasets that will facilitate high-quality, timely, and cost efficient transfer and interpretation of data using automated mechanisms and high technical standards for accessibility by other researchers.

乳腺癌监测联盟统计协调中心(BCSC SCC)数据资源合同的主要目标是维护BCSC数据库并提高其支持科学界使用数据的能力。为了确保有效的数据解释和癌症结果的更新，承包商将分析临床实践中乳腺癌筛查的大型复杂数据库，了解每个数据源的实时数据收集，并与每个BCSC站点维护协议，以帮助解释汇集数据库中特定站点的数据。该合同的第二个目标是开发新的电子界面和数据集，以便利用自动化机制和其他研究人员获取数据的高技术标准，促进高质量、及时和具有成本效益的数据传输和解释。