CC* Storage: Robust Persistent Identification of Data (RPID)

CC* 存储：稳健的数据持久识别 (RFID)

• 批准号: 1659310
• 负责人: Robert Quick
• 金额: $ 19.9万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659310&HistoricalAwards=false
• 关键词: CC; Storage; Robust; Persistent; Identification

This project focuses upon robust, persistent identification of data, which could greatly improve scientific discovery and reuse of datasets. Persistent identifiers of data (PIDs) enhance scientific discovery and are an important element of research data sharing. This project creates a testbed to evaluate new capabilities for persistent identifiers. The initial stage of the project will include four diverse repositories containing millions of PIDs, and the second stage will allow any NSF-eligible institution to use the testbed to evaluate their own work. The project would enhance research interoperability.Currently, there are several persistent identifier options for data (such as Digital Object Identifiers, Handles, the Archive Resource Key, and Uniform Resource Names). The existing environment is limited by multiple solutions, weak interoperability, and procedures translating PID to data object that are inconsistent. This project provides several new capabilities: - A testbed to research new capabilities and interoperability for persistent identifiers, which builds upon Indiana University cyberinfrastructure and instances on Amazon Web Services; - The ability to prototype and evaluate PID types, allowing study of the difficulties and advantages of relating types to one another across a distributed system; and - Approaches to mapping from PIDs to Canonical Text Services Uniform Resource Names (CTS URNs). Combining URNs with Handles should allow a precise CTS URN referencing capability, with the flexible resolution of the existing widely-used Handle System.The goal is to standardize the results of PID resolution, allowing various PID services to interoperate at a higher level.

该项目侧重于稳健、持久的数据识别，这可以极大地改善数据集的科学发现和重用。数据的持久标识符（pid）增强了科学发现，是研究数据共享的重要元素。这个项目创建了一个测试平台来评估持久标识符的新功能。该项目的初始阶段将包括四个不同的存储库，其中包含数百万个pid，第二阶段将允许任何符合nsf资格的机构使用测试平台来评估他们自己的工作。该项目将加强研究的互操作性。目前，数据有几个持久的标识符选项（如数字对象标识符、句柄、存档资源键和统一资源名称）。现有的环境受到多种解决方案、弱互操作性以及将PID转换为不一致的数据对象的过程的限制。该项目提供了几个新功能：-一个测试平台，用于研究持久标识符的新功能和互操作性，该平台建立在印第安纳大学的网络基础设施和亚马逊网络服务上的实例上；-能够原型化和评估PID类型，允许研究在分布式系统中相互关联类型的困难和优势；和-从pid到规范文本服务统一资源名称（CTS urn）的映射方法。将URN与句柄相结合，可以提供精确的CTS URN引用能力，同时具有现有广泛使用的句柄系统的灵活分辨率。目标是标准化PID解析的结果，允许各种PID服务在更高级别上互操作。