Data Sharing and Archiving for Demographic Research

人口统计研究的数据共享和存档

• 批准号: 10619606
• 负责人: John Edwin Marcotte
• 金额: $ 63.14万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10619606
• 关键词: Adolescent; Adult; Aging; Ally; Area; Behavior; Biological; Biological Markers; Child; Child Health; Code; Communicable Diseases; Communities; Contraceptive Usage; Custom; Data; Data Analyses; Data Collection; Data Set; Data Sources; Demographer; Deposition; Development; Discipline; Disclosure; Disease; Documentation; Elements; Ensure; Environment; FAIR principles; Funding; Generations; Genetic; Genomics; Goals; Health; Health behavior and outcomes; High Performance Computing; Individual; Infrastructure; International; Knowledge; Learning; Life; Life Cycle Stages; Link; Longevity; Maternal Health; Maternal and Child Health; Metadata; Michigan; Molecular; National Institute of Child Health and Human Development; Nature; Organism; Personal Satisfaction; Policy Maker; Politics; Population; Population Dynamics; Population Sciences; Population Study; Privacy; Production; Public Health; Records; Reproducibility; Research; Research Infrastructure; Research Personnel; Research Priority; Research Project Grants; Research Support; Resources; Respondent; Risk; Role; Sample Size; Scientific Advances and Accomplishments; Scientist; Secure; Source; Specimen; Standardization; Strategic Planning; Surveys; System; Techniques; Training; Universities; adolescent health; analytical tool; archive data; community building; data archive; data enclave; data exploration; data library; data repository; data resource; data sharing; disability; disorder prevention; expectation; gene environment interaction; global health; health disparity; healthy pregnancy; human subject protection; improved; innovation; interest; migration; neuroimaging; outreach; secondary analysis; social; social media; symposium; targeted biomarker; tool; training opportunity; usability; virtual; webinar

Project Summary The Data Sharing for Demographic Research (DSDR) project of the Inter-university Consortium for Political and Social Research (ICPSR) supports population science and related fields by making it possible for researchers, policy makers and others to discover, access, and analyze relevant secondary data. Access to high-quality, generalizable data about populations facilitates scientific advancements at a pace that is not possible when researchers are limited to the data resources they produce themselves. Specifically, data that are findable, accessible, interoperable, and reusable are critical to transparency and research reproducibility as well as making it feasible for scientists to combine data of different types and from different sources for a more nuanced understanding of the context of health outcomes and behaviors. DSDR provides the infrastructure for researchers to see the scope of available data; access both public- and restricted-use data while protecting human subjects; integrate emerging data types such as biomarkers, genomics, and administrative record data; and learn from others in the demographic community about the data and relevant analytic techniques. DSDR leverages the capabilities and capacities of ICPSR, the Institute for Social Research, and the University of Michigan to support research on maternal and child health, the lifecourse, health disparities, migration, relationship formation and dissolution, and more in the U.S. and internationally. To meet the aims set forth by NICHD, DSDR proposes five main objectives: 1) Sustain and build the collection of data, documentation, and other support files, 2) Improve discoverability and exploration of data, 3) Amplify access to restricted-use data, 4) Enable the combining of new types of data (e.g., biomarkers, neuroimages, and administrative records) with survey data, and 5) Offer training and perform outreach to engage the demographic community. ICPSR’s high-quality curation, creation of standardized information describing the data, dissemination of complete documentation including codebooks and user guides, and training opportunities ensures researchers can more easily find, evaluate, and use data collected by others to answer new and innovative research questions while upholding respondent privacy expectations.

项目概要 大学间联盟的人口统计研究数据共享（DSDR）项目 政治和社会研究 (ICPSR) 通过以下方式支持人口科学及相关领域 使研究人员、政策制定者和其他人能够发现、访问和分析 相关二手数据。获取有关人口的高质量、可概括的数据有助于 当研究人员仅限于数据时，科学进步的速度是不可能的 他们自己生产的资源。具体来说，数据是可找到的、可访问的、 可互操作和可重复使用对于透明度和研究可重复性以及 使科学家能够将不同类型和不同来源的数据结合起来 对健康结果和行为的背景有更细致的了解。 DSDR 为研究人员提供查看可用数据范围的基础设施；访问两者 公共和限制使用数据，同时保护人类受试者；整合新兴数据类型 例如生物标志物、基因组学和行政记录数据；并向其他人学习 人口社区有关数据和相关分析技术的信息。 DSDR 利用了 ICPSR、社会研究所和 密歇根大学支持妇幼健康、生命历程、 美国和美国的健康差异、移民、关系的形成和解除等 国际上。为了实现 NICHD 提出的目标，DSDR 提出了五个主要目标：1) 维持和建立数据、文档和其他支持文件的收集，2) 改进 数据的可发现性和探索，3) 扩大对限制使用数据的访问，4) 启用 结合新型数据（例如生物标记、神经图像和管理记录） 调查数据，以及 5) 提供培训并进行外展活动以吸引受众 社区。 ICPSR 的高质量管理、创建描述的标准化信息 数据、完整文档的传播，包括密码本和用户指南，以及 培训机会确保研究人员能够更轻松地查找、评估和使用数据 由其他人收集来回答新的和创新的研究问题，同时坚持 受访者的隐私期望。