Management of Complex Data Structures: Upgrades to EUGene data software

复杂数据结构的管理：EUGene 数据软件升级

• 批准号: 1059758
• 负责人: Allan Stam
• 金额: $ 49.47万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059758&HistoricalAwards=false
• 关键词: Management; Complex; Data; Structures; Upgrades

Since it was first made available in 1998, the software program EUGene has become a useful tool for scholars who analyze international conflict and crisis data by providing simple to use tools for dataset construction. The software development laid out in this proposal will further expand the EUGene program, broadening its application into a tool for developing international relations, comparative politics, and comparative political economy data. Continued program development will focus on a complete redesign of the data management engine to allow for the development of new, more flexible datasets and research designs that better fit contemporary research needs. The program makes routine a set of data preparation tasks that are cumbersome and difficult, and keeps track of critical research design choices made by users. This facilitates more advanced research and theorizing by scholars by freeing them of the necessity to perform technical data manipulations. AS in coding previous versions, the PI's integrate graduate and undergraduate student programmers into the project as well as supervising contracted professional software engineers. EUGENE will benefit both experienced researchers as undergraduate and graduate students in training. In this expansion, the focus is on five key new additions that will advance future scientific understanding and discovery, while building on existing work. The software will be freely distributed with a point and click user interface. The development team will add five new program attributes to broaden the impacts of the exiting software. 1. Develop an observational format that relaxes the current restrictions of monadic or dyadic data allowing for k-adic research designs. Using dy-adic data to analyze what are, in reality, k-adic events leads to model misspecification and, inevitably, substantial statistical bias. 2. Allow users to specify the unit of observation. Users will also be able to select the temporal element, e.g. daily, weekly, monthly, quarterly, or annual data. Users will be able to choose the units including the country, the IGO, the terrorist group, MID, or any user specified non-state actor. 3. Develop an expanded sampling engine to accommodate the greatly increased population of observations the new data structures will generate. 4. Build in an expanding scaling and measurement engine that allows users to apply principle component analysis and factor analysis towards the building of a wide range of scales and indices such as NOMINATE and S scores. 5. Develop the data handling routines needed for spatial regression analysis, to control for spatial interdependence in the user's data. In addition EUGene 4.0 will include the most recent releases of an expanding variety of pre-existing datasets.

自1998年首次提供以来，软件程序EUGene已成为分析国际冲突和危机数据的学者的有用工具，为数据集构建提供了简单易用的工具。本提案中列出的软件开发将进一步扩展尤金项目，将其应用范围扩大到开发国际关系、比较政治学和比较政治经济学数据的工具。持续的项目开发将侧重于数据管理引擎的完全重新设计，以允许开发新的、更灵活的数据集和研究设计，以更好地适应当代研究需求。该程序使一组繁琐而困难的数据准备任务成为例行程序，并跟踪用户做出的关键研究设计选择。这有助于学者们进行更高级的研究和理论化，使他们不必进行技术数据操作。与之前的版本编码一样，PI将研究生和本科生程序员整合到项目中，并监督签约的专业软件工程师。尤金将受益于经验丰富的研究人员作为本科生和研究生在培训。在这次扩展中，重点是五个关键的新增内容，它们将在现有工作的基础上推进未来的科学理解和发现。该软件将与一个点和点击用户界面自由分发。开发团队将添加五个新的程序属性来扩大现有软件的影响。1. 开发一种观测格式，放宽目前对单进或双进数据的限制，允许k进研究设计。使用进进数据来分析实际中的k进事件会导致模型规格错误，并且不可避免地会产生大量的统计偏差。2. 允许用户指定观察单位。用户还可以选择时间元素，例如每日、每周、每月、季度或年度数据。用户将能够选择包括国家、政府间组织、恐怖组织、MID或任何用户指定的非国家行为者在内的单位。3. 开发一个扩展的采样引擎，以适应新数据结构将产生的大量增加的观测数据。4. 内置扩展的缩放和测量引擎，允许用户应用主成分分析和因子分析来构建广泛的量表和指数，如提名和S分数。5. 开发空间回归分析所需的数据处理例程，以控制用户数据中的空间相互依存关系。此外，EUGene 4.0还将包括不断扩展的各种已有数据集的最新版本。