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.

该项目着重于对数据的强大，持续的识别，这可以大大改善数据集的科学发现和重复使用。 持续的数据标识符（PID）增强了科学发现，并且是研究数据共享的重要组成部分。 该项目创建了一个测试台，以评估持续标识符的新功能。 该项目的初始阶段将包括四个包含数百万个PID的不同存储库，第二阶段将允许任何符合NSF资格的机构使用测试床来评估自己的工作。 该项目将增强研究的互操作性。目前，有几个持久的标识符选项（例如数字对象标识符，手柄，存档资源密钥和统一的资源名称）。 现有环境受到多种解决方案的限制，较弱的互操作性以及将PID转换为不一致的数据对象的程序。 该项目提供了几种新功能： - 用于研究持续标识符的新功能和互操作性的测试床，该功能建立在印第安纳大学网络基础设施和亚马逊网络服务上的实例上； - 原型和评估PID类型的能力，可以研究在分布式系统中相互关联的困难和优势；和 - 从PID到规范文本服务统一资源名称（CTS urns）映射的方法。 将urn与手柄结合起来，应允许精确的CTS urn引用能力，并可以灵活地分辨出现有广泛使用的手柄系统。目标是标准化PID分辨率的结果，使各种PID服务能够在更高级别上进行互操作。