Collaborative Research: Center for Historical Information and Analysis (CHIA)

该项目将加强历史信息和分析中心（http：//www.example.com）的组织和技术基础设施，该中心是一个由社会、自然和信息科学学者组成的多机构合作机构，其结构为研究合作机构和总部。chia.pitt.edu研究协作将收集人口，气候和其他主题数据的参与机构与众包工具联系起来，以证明建立不断增长的各种历史数据和元数据集合的可行性。总部汇集和发展关于储存库设计的知识，以建立一个足以容纳输入数据并允许进行全球互动分析的储存库。历史信息和分析中心？未来的计划包括扩大历史数据的收集和处理，扩大社会和自然科学研究人员的社区，分析全球变化的历史模式，并与研究人员，政策制定者，教师和学生分享其资源。CHIA的总部设在匹兹堡大学，参与的研究小组来自波士顿大学、哈佛大学、密歇根州立大学和加州大学默塞德分校。要了解当今的全球社会模式，我们越来越清楚地需要了解它们在最近几个世纪是如何演变的。历史信息和分析中心回应了这一需求，并将历史分析纳入大数据领域。预计数据资源的大小将增加到数TB。该项目将促进更有效的研究合作的发展，从而能够系统地大规模整合各种历史数据源。一旦收集和整合，数据储存库和分析系统将使学者能够解决更广泛的问题，测试全球范围内长期和短期社会变化的假设，并促进扩大社会科学的证据基础。例如，我们对重要社会问题的理解可以通过将健康与人口统计联系起来以及将气候和健康因素纳入经济研究来推进。学科理论将通过各个科学领域之间的相互作用而发展，从而形成一个全球性的社会科学研究者网络。

This project will strengthen the organizational and technical infrastructure of the Center for Historical Information and Analysis (http://chia.pitt.edu), a multi-institutional collaborative of scholars in social, natural, and information sciences structured as a Research Collaborative and a Headquarters. The Research Collaborative links participating institutions that are collecting data on population, climate, and other topics with a crowdsourcing tool to demonstrate the feasibility of building a continuously growing collection of diverse historical data and metadata. The Headquarters assembles and develops knowledge on repository design to develop a repository sufficient to house the incoming data and permit global and interactive analysis. The Center for Historical Information and Analysis?s future plans include expanding its collection and processing of historical data, broadening its community of social and natural science researchers, analyzing historical patterns of global change, and sharing its resources with researchers, policy-makers, teachers and students. CHIA is headquartered at the University of Pittsburgh with participating research groups at Boston University, Harvard University, Michigan State University, and University of California-Merced.To understand global social patterns as they exist today, it is increasingly clear that we need to understand how they have evolved over recent centuries. The Center for Historical Information and Analysis responds to this need and takes historical analysis into the realm of Big Data. It is expected that the data resources will grow to several terabytes in size. This project will stimulate development of more efficient research collaborations, enabling systematic large-scale consolidation of diverse historical data sources. Once collected and integrated, the data repository and analytical system will allow scholars to address a wider set of questions testing hypotheses about long-term and short-term social change at the global scale and catalyzing an expansion of the evidence base in social sciences. For example, our understanding of important societal issues can advance by linking health to demography and by incorporating climate and health factors into economic studies. Disciplinary theory will advance through interaction among the various scientific fields, so that a global network of social-science researchers will emerge.