Data Sharing and Archiving for Demographic Research

人口统计研究的数据共享和存档

• 批准号: 10062127
• 负责人: John Edwin Marcotte
• 金额: $ 69.89万
• 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/10062127
• 关键词: Adolescent; Adult; Aging; Area; Behavior; Biological; Biological Markers; Cellular Structures; 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 Transition; High Performance Computing; Individual; Infrastructure; International; Knowledge; Learning; Life; Link; Longevity; Maternal and Child Health; Metadata; Michigan; Mind; Molecular; National Institute of Child Health and Human Development; Nature; Organism; Outcome; Personal Satisfaction; Policy Maker; Politics; Population; Population Dynamics; Population Sciences; Population Study; Privacy; Production; Public Health; Records; Reproducibility; Research; Research Infrastructure; Research Institute; Research Personnel; Research Priority; Research Project Grants; Research Support; Resources; Respondent; Risk; Role; Sample Size; Scientist; Secure; Source; Specimen; Standardization; Strategic Planning; Surveys; System; Techniques; Training; Universities; adolescent health; analytical tool; community building; data access; data archive; data dissemination; data enclave; data exploration; data resource; data sharing; data warehouse; disability; disorder prevention; expectation; gene environment interaction; global health; health disparity; healthy pregnancy; human subject; 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.

项目摘要 大学间联盟人口统计研究数据共享(DSDR)项目 政治和社会研究中心(ICPSR)支持人口科学和相关领域 使研究人员、政策制定者和其他人能够发现、访问和分析 相关的二次数据。获得关于人口的高质量、可概括的数据有助于 当研究人员受限于数据时，科学进步的速度是不可能的 他们自己生产的资源。具体地说，是指可查找、可访问、 可互操作和可重复使用对于透明度和研究的重现性以及 使科学家能够将不同类型和不同来源的数据组合在一起 对健康结果和行为的背景有更细微的理解。DSDR 为研究人员提供基础设施，以查看可用数据的范围；访问两者 在保护人类主体的同时公开和限制使用数据；集成新兴数据类型 例如生物标志物、基因组学和行政记录数据；并向 人口统计社区对数据和相关分析技术的了解。 DSDR利用了国际社会研究中心、社会研究所和 密歇根大学支持妇幼健康、生命课程、 健康差距，移民，关系的形成和解散，以及更多在美国和 在国际上。为了实现NICHD提出的目标，DSDR提出了五个主要目标：1) 维护和构建数据、文档和其他支持文件的集合，2)改进 数据的可发现性和探索性，3)扩大对受限使用数据的访问，4)使 组合新类型的数据(例如，生物标记物、神经图像和管理记录) 使用调查数据，以及5)提供培训并进行外联，以吸引人口统计人员 社区。ICPSR的高质量管理，创建描述 数据、包括码本和用户指南在内的完整文件的传播，以及 培训机会可确保研究人员更轻松地查找、评估和使用数据 由其他人收集以回答新的和创新的研究问题，同时坚持 受访者对隐私的期望。