Electronic Journal Data Collection Technologies for Interdisciplinary Research

跨学科研究的电子期刊数据收集技术

• 批准号: 7363319
• 负责人: William G. Axinn
• 金额: $ 30万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-26 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7363319
• 关键词: Address; Adopted; Area; Arts; Behavior; Behavioral; Behavioral Research; Biological; Biological Markers; Biological Process; Clinic; Clinical; Code; Committee Members; Communities; Complex; Condition; Data; Data Collection; Discipline; Discipline of Nursing; Electronics; Ensure; Etiology; Experimental Designs; Face; Family; Family dynamics; General Population; Genomics; Goals; Health; Incentives; Individual; Interdisciplinary Study; Internet; Investigation; Journals; Link; Measurement; Measures; Methods; Molecular; Neurosciences Research; Organ; Phase; Population; Population Study; Pregnancy Outcome; Probability; Race; Randomized; Range; Rate; Research; Research Design; Research Personnel; Risk Factors; Sampling; Science; Scientist; Series; Social Environment; Social Sciences; Societies; Surveys; Techniques; Technology; Telephone; Telephone Interviews; Testing; Time; Today; Voice; Women' s Health; base; behavior measurement; compare effectiveness; design; diaries; experience; genetic epidemiology; interdisciplinary approach; prevent; research study; response; social; statistics; tool; volunteer

DESCRIPTION (provided by applicant): Some of the most challenging and persistent health problems today are likely caused by complex interactions among multiple risk factors unfolding across time. We propose research using an interdisciplinary approach to refine a new data collection technology so it may provide the social and behavioral measures needed to study such problems and link those measures to other information across a wide range of analytic levels. We will design an electronic journal tool that uses the Internet and Interactive Voice Response (IVR) technologies to collect detailed dynamic social and behavioral measures and facilitates the linking of those measures to other information across the macro social and micro biological levels of analysis. We aim to move the use of this tool beyond the limits of clinic- or lab-based studies among volunteers, to probability-based samples of the broader population. Our ultimate goal is to construct and refine the tool in a way to promote interdisciplinary collaborative research. To accomplish this, the project has four specific aims. Aim 1: To assure the tool is designed for the broadest possible interdisciplinary applications, we propose to pilot and refine the electronic journal across two types of study populations, a clinical population and the general population. Aim 2: We propose to design specific techniques for using the tool to collect comparable measures motivated by a wide range of different scientific disciplines using Internet and IVR technologies. Aim 3: We propose to determine the most efficient methods of maximizing cooperation and retention via incentives, reminders, and refusal conversion strategies. Aim 4: We propose to create techniques for using this journal tool to link together dynamic measures across multiple levels of analysis, spanning from community and social context, family context, and individual experience at the macro-level to the organ, cellular, molecular, and genomic levels at the micro level. To meet the specific aims of our research, we propose a four-year study led by an interdisciplinary team of project investigators and steering committee members. This team combines expertise in social science, mixed method data collection, survey research, neuroscience, women's health, genetic epidemiology, statistics, and nursing. Our diverse team of scientists will collaborate on every phase of this project to insure the final product produced is a data collection tool that befits interdisciplinary health research. To address many of the complex health problems society faces today, there is an urgent need for new data collection methods which are able to both reveal dynamics over time in key conditions, experiences, and treatments and support integrated, interdisciplinary approaches. For this project, we propose to refine and test an electronic journal tool to help meet this need. New internet and telephone interviewing technologies now make it possible to advance this social science method so it can capture social and behavioral dynamics, link them directly to measures of micro-level biological dynamics, and integrate these measures into an interdisciplinary research approach targeted at key health problems and treatments.

描述（由申请人提供）：当今一些最具挑战性和持久性的健康问题可能是由多个风险因素之间的复杂相互作用引起的。我们建议研究使用跨学科的方法来完善新的数据收集技术，以便它可以提供研究这些问题所需的社会和行为措施，并将这些措施与各种分析水平的其他信息联系起来。我们将设计一个电子日志工具，使用互联网和交互式语音应答（IVR）技术来收集详细的动态社会和行为的措施，并促进这些措施的其他信息在宏观社会和微观生物水平的分析链接。我们的目标是将这一工具的使用超越志愿者中基于临床或实验室的研究的限制，以更广泛人群的概率为基础的样本。我们的最终目标是以促进跨学科合作研究的方式构建和完善该工具。为此，该项目有四个具体目标。目标1：为了确保该工具是为尽可能广泛的跨学科应用而设计的，我们建议在两种类型的研究人群（临床人群和普通人群）中试点和完善电子期刊。目标二：我们建议设计具体的技术，使用该工具收集可比的措施，广泛的不同的科学学科，使用互联网和IVR技术的动机。目标三：我们建议通过激励、提醒和拒绝转换策略来确定最有效的合作和保留最大化的方法。目标4：我们建议创建使用这种期刊工具的技术，将多层次分析的动态测量联系在一起，从宏观层面的社区和社会背景，家庭背景和个人经验到微观层面的器官，细胞，分子和基因组水平。为了满足我们研究的具体目标，我们提出了一个为期四年的研究，由项目调查员和指导委员会成员组成的跨学科团队领导。该团队结合了社会科学、混合方法数据收集、调查研究、神经科学、妇女健康、遗传流行病学、统计学和护理方面的专业知识。我们多元化的科学家团队将在该项目的每个阶段进行合作，以确保生产的最终产品是适合跨学科健康研究的数据收集工具。为了解决当今社会面临的许多复杂的健康问题，迫切需要新的数据收集方法，这些方法能够揭示关键条件，经验和治疗随时间的变化，并支持综合的跨学科方法。对于这个项目，我们建议完善和测试电子期刊工具，以帮助满足这一需求。新的互联网和电话采访技术现在可以推进这种社会科学方法，使其能够捕捉社会和行为动态，将它们直接与微观生物动态的措施联系起来，并将这些措施纳入针对关键健康问题和治疗的跨学科研究方法。