Collaborating Consortium of Cohorts Producing NIDA Opportunities (C3PNO)

产生 NIDA 机会的群体合作联盟 (C3PNO)

• 批准号: 10552117
• 负责人: Pamina Mae Gorbach
• 金额: $ 51.07万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10552117
• 关键词: AIDS prevention; AIDS/HIV problem; Acquired Immunodeficiency Syndrome; Address; Area; Automobile Driving; Behavioral; Bioethics; Bioinformatics; Biological Specimen Banks; Biometry; California; Catalogs; Clinical; Clinical Research; Clinical Sciences; Clinical Trials Network; Collaborations; Common Data Element; Computer software; Data; Data Collection; Data Linkages; Data Management Resources; Data Set; Data Sources; Data Store; Databases; Development; Ethics; Foundations; Funding; Gold; HIV; HIV prevention trials network; Immunology; Individual; Industry; Infrastructure; Laboratories; Lead; Leadership; Letters; Link; Logistics; Longitudinal cohort; Los Angeles; Measurement; Measures; Methodology; Methods; Modeling; National Institute of Drug Abuse; Online Systems; Outcome Measure; Participant; Patient Outcomes Assessments; Performance; Procedures; Process; Recording of previous events; Research; Research Personnel; Research Priority; Research Project Grants; Resource Sharing; Resources; Sample Size; Science; Scientist; Site; Specimen; Standardization; Strategic Planning; Study models; Substance abuse problem; System; Technical Expertise; Techniques; Technology; Translating; United States National Institutes of Health; Universities; Work; biobank; bioinformatics network; cohort; comorbidity; data harmonization; data sharing; diverse data; epidemiology study; experience; flexibility; frontier; innovation; instrument; interest; meetings; member; programs; repository; response; substance use; tool; virtual; webinar; working group

ABSTRACT In response to RFA-DA-17-019 we propose to establish a Coordinating Center for the NIDA Cohorts entitled “C3NPO” * to manage and stimulate use of the data generated to address high priority research on HIV/AIDS in the context of substance abuse. Our focus is cutting-edge science powered by the cohorts' combined sample size of approximately 12,500 participants. We bring together a team of researchers with global leadership in substance use, HIV prevention, clinical science and co-morbidities, immunology, modeling, and bioethics to work with NIDA program scientists to stimulate the highest impact science across NIDA-funded cohorts that have compiled unique repositories of varied and rich data. Our proposal uniquely combines academic and professional research management expertise that will stimulate, manage, and support scientific collaboration. We will enable internal and external investigators to cultivate the data from these cohorts in new and innovative scientific directions. Our bioinformatics capacity is uniquely strong in the area of specimen management, having developed the industry gold standard software that will greatly facilitate sharing of specimens across the cohorts. Our leadership bridges NIDA's interests with the perspectives and concerns of the cohorts by having a cohort PI/research scientist (Pamina Gorbach, University of California, Los Angeles) partnered with an experienced HIV network bioinformatics management leader (Suzanne Siminski, Frontier Science & Technology Research Foundation (FSTRF). We will leverage other funded research initiatives though our External Scientific Advisory Board (ESAB) such as NIDA-supported efforts to harmonize measures for substance use research and combine that with data linking strategies. We have the endorsement of all cohort PIs that Consortium leadership is best led from another cohort PI to enhance team science and support for our team as the leaders. The collaborative character of this proposing team offers the potential for new developments in bioinformatics techniques that allow integration of diverse and ever more massive sets of behavioral, clinical, and laboratory data for use by cohort and outside researchers. Thus, our proposal will address NIDA's 2016-2020 Strategic Plan priority focus areas and cross-cutting themes (https://www.drugabuse.gov/about-nida/2016-2020-nida-strategic-plan) by leveraging technology, driving innovation, promoting collaboration, and encouraging data and resource sharing. The strategy will develop infrastructure that allows cross-disciplinary, large-scale analyses leading to the highest impact HIV science on substance use.

抽象的 为了回应 RFA-DA-17-019，我们建议为 NIDA 队列建立一个协调中心，名称为 “C3NPO”* 管理和促进所生成数据的使用 致力于艾滋病毒/艾滋病的高度优先研究 在药物滥用的背景下，我们的重点是由队列共同推动的尖端科学。 我们的样本规模约为 12,500 名参与者。 在物质使用、艾滋病毒预防、临床科学和共病、免疫学、建模和 生物伦理学与 NIDA 项目科学家合作，促进 NIDA 资助的最具影响力的科学发展 我们的提案独特地结合了不同且丰富的数据的独特存储库。 学术和专业研究管理专业知识将刺激、管理和支持科学 我们将使内部和外部研究人员能够以新的方式从这些群体中收集数据。 我们的生物信息学能力在样本领域具有独特的优势。 管理，开发了行业黄金标准软件，将极大地促进共享 我们的领导层将 NIDA 的利益与各方的观点和关切联系起来。 通过拥有队列 PI/研究科学家（Pamina Gorbach，加州大学洛杉矶分校）来进行队列研究 与经验丰富的 HIV 网络生物信息学管理领导者（Suzanne Siminski，Frontier 科学技术研究基金会 (FSTRF) 我们将利用其他资助的研究计划。 通过我们的外部科学顾问委员会 (ESAB)，例如 NIDA 支持的协调措施的努力 用于物质使用研究并将其与数据链接策略相结合我们得到了所有人的认可。 联盟领导层最好由另一个队列 PI 领导，以增强团队科学和支持 对于我们团队作为领导者来说，这个提案团队的协作特性提供了新的潜力。 生物信息学技术的发展允许整合不同的、更大规模的数据集 因此，我们的建议将供队列和外部研究人员使用的行为、临床和实验室数据。 解决 NIDA 2016-2020 年战略计划的优先重点领域和跨领域主题 (https://www.drugabuse.gov/about-nida/2016-2020-nida-strategic-plan) 通过利用技术、驱动 该战略将发展创新、促进合作、鼓励数据和资源共享。 允许跨学科、大规模分析的基础设施，从而对艾滋病毒科学产生最大影响 物质的使用。