EAGER: Enhanced Robust Persistent Identification of Data (E-RPID)
EAGER: Enhanced Robust Persistent Identification of Data (E-RPID)
批准号:
1839013
负责人:
Robert Quick
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2021-09-30
中文摘要
现代研究中日益增长的挑战是收集和存储研究数据的能力的快速增长;这种增长比编目,访问和重用这些数据的能力要快得多。科研企业面临的主要挑战包括使数据在互联网规模上可重复、可访问和可重用;以及使使用数据复制已发表研究中的分析成为可能。这个问题的重要性是开放科学和开放数据的许多最新举措的核心。该项目的目标是解决这些缺陷,并在当前的研究数据环境中实现更多的数据互操作性和可重用性选项。一个目的是展示数据可访问性和管理的技术解决方案应该如何设计,实施,操作和广泛的研究人员使用。另一个目标是最终增加数据的发布、发现和重用,从而促进科学事业的更大完整性。该项目旨在创建数字对象架构(DOA)概念的完整实现,以提高数据的互操作性和可重用性,并可能改变许多学科的研究方式。该方法是将现有的和新的软件组件集成到数据的鲁棒持久性识别(RPID)测试平台中,该测试平台本身是由NSF支持的为期2年的试点项目(项目ID 1659310)。将增加的组件包括:数字对象接口协议(DOIP),它定义了对数字对象执行的通用操作;以及存储库映射服务(Repository Mapping Service),它允许将现有存储库的内容映射到数字对象架构(DOA)环境。有了新的组件,集成“增强型RPID”(E-RPID)测试平台将允许通过分配单个标识符来管理数据对象,从而使数据公平(可查找,可访问,可互操作和可重用)。这项技术工作沿着计划中的教育材料,旨在降低从初始数据收集到长期使用和重用的整个数据生命周期中采用以持久性标识(PID)为中心的数据管理的障碍。E-RPID测试平台将位于NSF资助的Jetstream计算资源上,将应用于许多重要的科学用例,并将为研究数据联盟(RDA)促进的活动做出贡献。 该项目的成果旨在广泛惠及学科和多学科,学科研究和促进更好地访问和利用现有的数据存储库。该项目由国家科学基金会的公共访问计划支持,该计划由NSF高级网络基础设施办公室代表基金会管理。该奖项反映了NSF的法定使命,并通过评估被认为值得支持使用基金会的知识价值和更广泛的影响审查标准。
英文摘要
An increasing challenge in modern research is the rapid growth in ability to collect and store research data; this growth is much more rapid than the ability to catalog, make accessible, and reuse these data. Major challenges facing the scientific research enterprise include making data discoverable, accessible, and re-usable at Internet scales; and making it possible to use data to replicate analyses done in published research. The importance of this issue is at the center of many recent initiatives in Open Science and Open Data. The objective of this project is to address these deficiencies and to enable more options for data interoperability and reusability in the current research data landscape. One aim is to demonstrate how technical solutions for data accessibility and management should be designed, implemented, operated, and usable by a broad range of researchers. Another aim is to ultimately increase the publication, discovery, and reuse of data, thus contributing to the greater integrity of the scientific enterprise.This project aims to create a full implementation of the Digital Object Architecture (DOA) concept to improve data interoperability and reusability and potentially transform the way research in many disciplines is conducted. The approach is to integrate existing and new software components into the Robust Persistent Identification of Data (RPID) testbed which itself is a 2-year pilot project supported by NSF (Project ID 1659310). Components to be added include a Digital Object Interface Protocol (DOIP) which defines common operations performed on digital objects; and a Repository Mapping Service which would allow mapping the contents of existing repositories to the Digital Object Architecture (DOA) environment. With the new components, the ensemble "Enhanced-RPID" (E-RPID) testbed will allow managing of data objects by assigning individual identifiers toward making data FAIR (findable, accessible, interoperable, and reusable). This technical effort along with planned educational material are designed to lower the barrier for adoption of Persistent Identification (PID)-centric data management throughout the data lifecycle, from initial data collection to long-term use and reuse. The E-RPID testbed will be housed on the NSF-funded Jetstream computational resource, will be applied to a number of important scientific use cases, and will contribute to activities fostered by the Research Data Alliance (RDA). The outcomes of this project are aimed to broadly benefit disciplinary and multi-disciplinary research and to facilitate better access to and utilization of existing data repositories.This project is supported by the National Science Foundation's Public Access Initiative which is managed by the NSF Office of Advanced Cyberinfrastructure on behalf of the Foundation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1162/dint_a_00034
发表时间:
2020-12-01
期刊:
DATA INTELLIGENCE
影响因子:
3.9
作者:
[Lannom, Larry, Koureas, Dimitris, Hardisty, Alex R.]
通讯作者:
Hardisty, Alex R.
Collaborative Research: EAGER: A High Throughput Science Gateway for the Event Horizon Telescope
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批准号:2324672
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项目类别:Standard Grant
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资助金额:$20.1万
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财政年份:2023
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负责人:Robert Quick
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依托单位:
CC* Storage: Robust Persistent Identification of Data (RPID)
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批准号:1659310
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项目类别:Standard Grant
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资助金额:$19.9万
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财政年份:2017
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负责人:Robert Quick
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依托单位:
海外基金