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
现代研究中越来越多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、使其可访问和重复使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范围内可被发现、访问和重复使用;以及使使用数据复制已发表研究中的分析成为可能。这一问题的重要性是开放科学和开放数据最近许多倡议的核心。该项目的目标是解决这些不足之处,并在目前的研究数据格局中为数据互操作性和可重用性提供更多的选择。其中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、操作和供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,从而促进科学企业的更大完整性。该项目旨在创建数字对象体系结构(DOA)概念的全面实施,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健壮的持久数据识别(RFID)试验台中,该试验台本身就是一个由国家科学基金会支持的为期两年的试点项目(项目ID 1659310)。要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常见操作;以及储存库映射服务,它将允许将现有储存库的内容映射到数字对象体系结构(DOA)环境。有了新的组件,集成的“增强型RFID”(E-RFID)试验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)。这项技术工作以及计划中的教育材料旨在降低在整个数据生命周期(从最初的数据收集到长期使用和重复使用)中采用以永久标识(PID)为中心的数据管理的障碍。E-RFID试验台将安装在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研究,并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倡议支持,该倡议由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,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
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