AppalTRuST Biostatistics and Informatics Core

AppalTRUST 生物统计和信息学核心

• 批准号: 10665326
• 负责人: Mary Kay Rayens
• 金额: $ 35.34万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-30 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10665326
• 关键词: Appalachian Region; Area; Authorization documentation; Biometry; Biostatistics Core; Cancer Center; Characteristics; Cities; Collaborations; Community Outreach; County; Data; Data Collection; Data Files; Data Mart; Data Security; Development; Documentation; Education; Ensure; Future; Goals; Informatics; Information Centers; Information Dissemination; Information Sciences; Kentucky; Measures; Participant; Patient Recruitments; PhenX Toolkit; Pilot Projects; Probability; Probability Samples; Reporting; Research; Research Design; Resource Informatics; Resources; Rural; Rural Community; Sampling; Science; Secure; Security; Staging; Standardization; Statistical Data Interpretation; Structure; Surveys; Technology; Weight; Work; analytical method; analytical tool; authority; career; cohort; dashboard; data access; data dictionary; data format; data infrastructure; data integration; data sharing; data standards; data warehouse; experience; instrument; participant enrollment; patient engagement; peri-urban; query tools; recruit; response; rural counties; socioeconomic disadvantage; structured data; synergism; timeline; tobacco products; tobacco regulatory science; tool; unstructured data; web site

ABSTRACT – BIOSTATISTICS AND INFORMATICS CORE The Biostatistics and Informatics Core (BIC) will serve as the AppalTRuST hub for study design and all data- related activities, including data collection, linkage, harmonization, analysis, sharing, and security. The core will include biostatistics and informatics experts and staff with extensive experience developing surveys, managing and analyzing data, and ensuring ongoing data security. Leveraging technology resources available through UK Markey Cancer Center, BIC will house all the biostatistical and informatics resources and expertise needed to support AppalTRuST projects and respond to additional needs arising from future TCORS priorities. BIC Aims include: (1) support the statistical planning and analysis, data collection, and data coordination needs of the AppalTRuST projects and cores; (2) collaborate with the Community Outreach & Participant Engagement (COPE) Core to develop data collection instruments harmonized across projects and data collection timelines; (3) create a secure, standardized, and integrated AppalTRuST Data Warehouse; and (4) Provide easy-to-use tools to ensure stakeholder access to the AppalTRuST Data Warehouse and other Center information. BIC will oversee and coordinate all aspects of research design as well as data collection, harmonization, and analyses for all projects and pilots. Data files, including structured, semi-structured, and unstructured data, along with data dictionaries and other documentation, will be managed centrally for projects, pilots, and cores in BIC. To facilitate the generalizability of inferential statistical analyses, BIC will also develop survey weights for all participants recruited to the AppalTRuST cohort. In collaboration with COPE, BIC will assist each project and pilot with coordinated development of data collection instruments to support seamless data sharing, limiting response burden for participants enrolled in more than one project and promoting synergy throughout the Center. BIC will also deploy informatics portals and reporting mechanisms to make data widely accessible to stakeholders, with users able to access only the data they have been authorized for, commensurate with their needs. The informatics portal will include dashboards, and analytical and query tools, which can be customized to coincide with the level of stakeholder data access needed. State-of-the-art analytical methods and information science will support and permeate all projects, pilots, and cores within AppalTRuST to ensure that the TCORS successfully meets its goal of investigating FDA CTP regulatory priorities in Appalachian Kentucky through collaboration, education, and pioneering regulatory science research.

摘要 - 生物统计学和信息学核心 生物统计学和信息学核心（BIC）将作为研究设计和所有数据 - 相关活动，包括数据收集，链接，协调，分析，共享和安全性。核心意愿 包括生物统计学和信息专家和知识专家和员工，并具有丰富的经验开发调查，管理 并分析数据，并确保持续的数据安全。利用通过可用的技术资源 英国Markey Cancer Center，BIC将容纳所需的所有生物统计学和信息资源和专业知识 支持AppalTrust项目并响应未来TCORS优先事项带来的其他需求。 BIC的目的包括：（1）支持统计计划和分析，数据收集以及数据协调需求 Appaltrust项目和核心； （2）与社区外展与参与者合作 参与（COPE）核心开发在项目和数据之间协调的数据收集工具 收集时间表； （3）创建一个安全，标准化和集成的appaltrust数据仓库； （4） 提供易于使用的工具，以确保利益相关者访问AppalTrust数据仓库和其他中心 信息。 BIC将监督和协调研究设计的所有方面以及数据收集，协调和 分析所有项目和飞行员。数据文件，包括结构化，半结构化和非结构化数据， 与数据词典和其他文档一起，将在项目，飞行员和核心中进行集中管理 在Bic中。为了促进推论统计分析的普遍性，BIC还将发展调查权重 对于所有招募到AppalTrust队列的参与者。与COPE合作，BIC将协助每个项目 并通过协调开发数据收集工具的飞行员，以支持无缝数据共享， 限制响应燃烧的参与者参加了多个项目并促进整个项目的协同作用 中心。 BIC还将部署信息门户和报告机制，以使数据可访问 利益相关者，用户只能访问已授权的数据，并与他们的 需要。信息门户网站将包括仪表板以及分析和查询工具，可以自定义 与所需的利益相关者数据访问级别相吻合。最先进的分析方法和 信息科学将支持并渗透到AppalTrust中的所有项目，飞行员和核心，以确保 TCORS成功地符合其调查阿巴拉契亚肯塔基州FDA CTP监管优先事项的目标 通过协作，教育和开创性的监管科学研究。