Demographic Data Sharing and Archiving

描述(由申请人提供)：从2003年开始，美国国立卫生研究院制定了一项明确的数据共享政策，鼓励由NIH资助研究的科学家开发方法，与公众，更具体地说，与他们的科学家同行共享他们的研究数据。这项政策再加上其他联邦数据共享要求，以及明确承认具有类似实质性兴趣的科学家之间的广泛数据共享对科学的协同价值，导致结构化和非结构化数据档案和储存库的大量和重要的扩展。该项目的第一个供资周期为数据基础设施奠定了基础，以支持居住在人口中心的人口统计学家以及其数据收集与人口研究特别相关的研究人员。这里提出的项目是一项为期五年的合作协议的延续，该协议提供数据存档、保存和传播以及其他数据基础设施服务。该项目的具体目标补充了原协议的目标，其中包括：(1)数据获取、管理、传播和保存；(2)限制使用数据共享；(3)用户支持和推广；(4)改进数据共享科学，包括披露风险评估、复杂数据概念化和数据共享共享框架(法律框架)和数据文件编制(数据文件倡议)。在该项目的这一阶段，我们带来了新的技术和数据架构，以帮助重新设计我们提供这些服务的方式，并扩大综合基础设施支持，这将有助于改进驻留在亚太人口研究中心和驻留在附属人口中心的人口数据收集部分的交付。目标是努力建立一个法律、技术和实质性的框架，在其中共享人口科学的研究数据。具体地说，我们将与卡罗莱纳人口中心、明尼苏达人口中心、霍普金斯人口中心、兰德人口研究中心和密歇根人口研究中心的合作伙伴一起，增加新技术，以提供数据管理和传播的开源方法。 公共卫生相关性：不能低估共享数据资源的价值，例如为卫生科学的人口统计学研究共享数据。对二次数据的分析支持了关于健康差异、生育率和家庭形成、差异死亡率的来源以及许多健康行为的决定因素的许多重要发现。

DESCRIPTION (provided by applicant): Beginning in 2003, the National Institutes of Health developed an explicit data sharing policy which encouraged scientists whose research is funded by NIH to develop ways to share their research data with the public and, more specifically, their fellow scientists. This policy coupled with other federal data sharing requirements and the explicit recognition of the synergistic value to science of broad based data sharing among scientists with similar substantive interests has led to a substantial and important expansion of structured and unstructured data archives and repositories. The first cycle of funding for this project established the basis for data infrastructure to support demographers housed at population centers and those researchers whose data collections have particular relevance to demographic research. The project proposed here is a continuation of a five year cooperative agreement that provides data archiving, preservation and dissemination and other data infrastructure services. The specific aims of this project complement the original agreement's goals which included (1) data acquisition, curation, dissemination, and preservation (2) restricted use data sharing (3) user support and outreach, and (4) improvements in the science of data sharing including disclosure risk evaluation, complex data conceptualization and shared frameworks for data sharing (the legal framework) and data documentation (the Data Documentation Initiative). In this phase of the project, we bring new technologies and data architecture to help reengineer how we provide these services and to expand the integrated infrastructure support that will help improve the delivery of the parts of the demographic data collection that reside at ICPSR and those that reside in affiliated population centers. The goal is to work toward a legal, technical, and substantive framework in which to share research data in the population sciences. Specifically, with partners at the Carolina Population Center, Minnesota Population Center, Hopkins Population Center, Rand Population Research Center and the Michigan Population Studies Center, we will add new technologies to provide open source methods of data curation and dissemination. PUBLIC HEALTH RELEVANCE: The value of shared data resources such as Data Sharing for Demographic Research for health sciences cannot be understated. The analysis of secondary data undergirds many of the important findings on health disparities, fertility and family formation, sources of differential mortality, and determinants of many health behaviors.