netCanvas: Development, Hardening, and Dissemination of a Software Suite for the Collection of Complex Network and Contextual Data in HIV and Drug Research

netCanvas：开发、强化和传播用于收集 HIV 和药物研究中复杂网络和上下文数据的软件套件

• 批准号: 9306043
• 负责人: Michelle Birkett
• 金额: $ 62.42万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2021-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9306043
• 关键词: Anal Sex; Back; Behavioral; Big Data; Cohort Studies; Collaborations; Collection; Communicable Diseases; Communities; Complex; Computer software; Consult; Custom; Data; Data Base Management; Data Collection; Data Quality; Dependence; Development; Discipline; Disease; Documentation; Drug usage; Educational workshop; Ensure; Evaluation; Feedback; Funding; Gonorrhea; HIV; Health; Health Services Accessibility; Individual; Institution; Internet; Intuition; Lead; Letters; Methodology; Methods; Modernization; Monitor; National Institute of Drug Abuse; Nature; Participant; Pathway Analysis; Pharmaceutical Preparations; Population; Population Dynamics; Poverty; Prevalence; Process; Production; Publishing; Recording of previous events; Research; Research Personnel; Resources; Science; Secure; Shapes; Site; Software Design; Software Framework; Software Tools; Stigmatization; Structure; Surveys; Technical Expertise; Technology; Testing; Thinking; Time; Training; Universities; Visual; Work; contextual factors; cost; dashboard; data management; database design; disorder control; flexibility; high risk population; improved; injection drug use; interest; men; novel; open source; sex; social; social media; social stigma; tool; touchscreen; transmission process; user centered design; user-friendly; young men who have sex with men

Project Summary A thorough understanding of population dynamics is vital for reducing the spread of infectious disease and for informing disease control. This is particularly true with HIV, due to its high transmission dependence on drug and sexual network dynamics. For stigmatized populations with large disparities in the prevalence of HIV, structural determinants (e.g., poverty, access to care, stigma – the context surrounding the population) also drive disease. Therefore, the collection of network and contextual data is a high priority for researchers, but one that unfortunately poses enormous methodological challenges. In particular, the nature of this data has introduced new complexities in data collection, processing, and storage that limits accessibility to only those who possess the strong technical expertise and resources necessary to create bespoke solutions. Responding to this clear need, and supported by a NIDA-funded cohort study of HIV transmission (U01 DA0369349; PI: Mustanski; Co-I: Birkett), our team has developed a software tool (netCanvas-R) that can quickly and accurately capture complex network and contextual data directly from participants. Utilizing an interactive touchscreen interface, user-centered design, and modern web technologies, the collection of complex data is simplified for both researchers and participants. Our team has received extensive interest from outside research groups who wish to use our tool, but we lack the capacity for these custom configuration requests. Therefore the current project builds upon our prior work to: (1) extend and harden existing capabilities and build a standalone netCanvas software suite that is a user-friendly, generalizable, and customizable tool that will accommodate multilevel, network, longitudinal, geospatial, contextual, and behavioral data without the requirement of technical expertise; (2) ensure the sustainability of the netCanvas software suite through promotional work, engagement activities, and the production of strong training materials. This project will simplify the collection and streamline the management of complex data, thereby allowing researchers to assess more nuanced associations between contextual factors and the spread of infectious disease, and utilize this data in near real-time. Our team is particularly qualified to lead this work due to our history of successful collaboration, our complementary expertise, and our plan to seek and incorporate feedback from the network, HIV, and drug use research communities – as evidenced by our interdisciplinary Scientific Advisory Board and two sustained test site collaborations with strong NIDA-funded HIV and drug use research portfolios.

项目摘要 彻底了解人口动态对于减少传染病的传播和 通知疾病控制中心。艾滋病毒尤其如此，因为它高度依赖药物传播。 和性网络动态。对于艾滋病毒流行率差异很大的污名化人群， 结构性决定因素(例如贫穷、获得护理的机会、耻辱--人口的背景)也 驱使疾病。因此，收集网络和背景数据是研究人员的高度优先事项，但 不幸的是，这带来了巨大的方法论挑战。特别是，这些数据的性质具有 在数据收集、处理和存储方面引入了新的复杂性，将可访问性仅限于 拥有创建定制解决方案所需的强大技术专业知识和资源。正在响应 根据这一明确的需求，并得到NIDA资助的艾滋病毒传播队列研究的支持(U01 DA0369349；PI： Mustanski；Co-I：Birkett)，我们的团队开发了一个软件工具(netCanvas-R)，它可以快速和 准确捕获直接来自参与者的复杂网络和情景数据。利用交互式 触摸屏界面、以用户为中心的设计和现代网络技术，收集复杂的数据 对研究人员和参与者都进行了简化。我们的团队受到了外界的广泛关注 希望使用我们的工具，但我们没有能力满足这些定制配置请求的研究小组。 因此，当前项目建立在我们先前工作的基础上：(1)扩展和强化现有功能和 构建一个独立的NetCanvas软件套件，它是一个用户友好、可推广和可定制的工具， 将容纳多级别、网络、纵向、地理空间、上下文和行为数据，而无需 需要专业技术知识；(2)通过以下方式确保netCanvas软件套件的可持续性 宣传工作、参与活动和制作强有力的培训材料。这个项目将 简化复杂数据的收集和管理，从而使研究人员能够 评估背景因素和传染病传播之间更细微的联系，并利用 这些数据近乎实时。由于我们的成功历史，我们的团队特别有资格领导这项工作 协作，我们互补的专业知识，以及我们寻求和整合网络反馈的计划， 艾滋病毒和药物使用研究界--我们的跨学科科学咨询委员会和 与NIDA资助的艾滋病毒和药物使用研究组合的两个持续的试验场合作。