Data and Software Preservation for Open Science (DASPOS)
开放科学数据和软件保存 (DASPOS)
基本信息
- 批准号:1247316
- 负责人:
- 金额:$ 180.06万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-15 至 2017-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Scientific data is being collected at a higher rate than ever. A striking example is in elementary particle physics (EPP) experiments, where collaborations of thousands of scientists collect huge amounts of data at the Large Hadron Collider (LHC), but other disciplines have and are continuing to observe similar growth. The complexity and time frame of these experiments is such that the full scientific potential can only be realized when the data remains accessible and analyzable through extended periods. The possibility of successfully meeting this goal for the necessary long term data preservation requires a novel approach that will make the data and necessary software management more solid and survivable. The long term data preservation will become an even more critical issue as present experimental efforts evolve and the Big Data paradigm develops. The initial efforts of the US community to analyze the large volume of LHC data is being satisfied by the Open Science Grid project, designed to facilitate such large and distributed experiments. DASPOS provides an opportunity to continue to study today's analysis over the long term. The DASPOS project incorporates the present state-of-the-art knowledge in working with data in EPP. This project aims to provide a generic technological framework where the basic difficulties are identified and solved with the aim of advancing these goals simultaneously for several disciplines, which should facilitate the emergence of commonalities and standards.The milestones and the work plan are well structured and adapted to present knowledge. Intense communications via workshops is planned and is a natural path for the goal of inclusion of the various disciplines. The intention to document these workshops is a valuable component of this project, as are concrete goals such as prototypes and software challenges.The DASPOS project is not only sound but also timely. The recent dynamics in data preservation and large data management is now reaching several countries and funding agencies. In fact, several projects at national levels are now installed, including for instance, the PREDON project, financed by CNRS-France in 2012 to prepare a multidisciplinary novel approach to big data management. Other similar initiatives are under study in Germany and Italy. It is no question that synergies will emerge at an international scale, and is also clear that DASPOS will play a pioneering and leading role in this context. In conclusion, the impact and merit of the DASPOS proposal is innovative and potentially transformational. This can be an historical opportunity to make a significant advance in the scientific data management in the context of the "Big Data" challenge.
科学数据的收集速度比以往任何时候都要快。一个明显的例子是在基本粒子物理(EPP)实验中,数千名科学家的合作在大型强子对撞机(LHC)收集了大量数据,但其他学科已经并正在继续观察到类似的增长。这些实验的复杂性和时间框架是这样的,只有当数据在较长时间内保持可访问和可分析时,才能充分发挥科学潜力。要成功地实现这一目标,以便进行必要的长期数据保存,需要一种新的方法,使数据和必要的软件管理更加稳固和可生存。随着当前实验工作的发展和大数据范式的发展,长期数据保存将成为一个更加关键的问题。开放科学网格项目正在满足美国社区分析大型强子对撞机数据的初步努力,该项目旨在促进这种大规模和分布式的实验。DASPOS提供了一个长期继续研究今天的分析的机会。DASPOS项目结合了当前在EPP中处理数据的最先进知识。该项目旨在提供一个通用技术框架,以便查明和解决基本困难,以期同时推进几个学科的这些目标,这应有助于出现共性和标准。里程碑和工作计划结构良好,并根据现有知识进行调整。计划通过讲习班进行密集交流,这是实现纳入各学科目标的自然途径。记录这些研讨会的意图是这个项目的一个有价值的组成部分,还有原型和软件挑战等具体目标。DASPOS项目不仅是合理的,而且是及时的。最近在数据保存和大数据管理方面的动态现在正在影响到几个国家和供资机构。事实上,现在已经在国家一级安装了几个项目,例如,法国国家科学研究中心2012年资助的PREDON项目,目的是准备一种多学科的大数据管理新方法。德国和意大利也在研究其他类似的举措。毫无疑问,协同效应将在国际范围内出现,而且DASPOS将在这方面发挥先锋和领导作用也是显而易见的。总而言之,DASPOS提案的影响和优点是创新的,可能具有变革性。这可能是一个历史性的机遇,使科学数据管理在大数据挑战的背景下取得重大进展。
项目成果
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Michael Hildreth其他文献
Egg autofluorescence and options for detecting peanut agglutinin binding for the identification of <em>Haemonchus contortus</em> eggs in fecal samples
- DOI:
10.1016/j.vetpar.2019.01.009 - 发表时间:
2019-03-01 - 期刊:
- 影响因子:
- 作者:
Ibrahim Abbas;Michael Hildreth - 通讯作者:
Michael Hildreth
Combined Molecular and Lectin Binding Assays to Identify Different Trichostrongyle Eggs in Feces of Sheep and Goats from Egypt
- DOI:
10.1007/s11686-020-00287-y - 发表时间:
2020-10-09 - 期刊:
- 影响因子:1.500
- 作者:
Somaya Saleh;Ibrahim Abbas;Moustafa Al-Araby;Michael Hildreth;Salah Abu-Elwafa - 通讯作者:
Salah Abu-Elwafa
Michael Hildreth的其他文献
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{{ truncateString('Michael Hildreth', 18)}}的其他基金
Collaborative Research: Disciplinary Improvements: FAIROS-HEP, a Research Coordination Network for Particle Physics
合作研究:学科改进:FAIROS-HEP,粒子物理学研究协调网络
- 批准号:
2226378 - 财政年份:2022
- 资助金额:
$ 180.06万 - 项目类别:
Standard Grant
Findable Accessible Interoperable and Reusable (FAIR) Hackathon Workshop for Mathematical and Physical Sciences (MPS) Research Communities
Findable Accessible Interoperable and Reusable (FAIR) 数学和物理科学 (MPS) 研究社区黑客马拉松研讨会
- 批准号:
1839030 - 财政年份:2018
- 资助金额:
$ 180.06万 - 项目类别:
Standard Grant
Collaborative Research: Scalable CyberInfrastructure for Artificial Intelligence and Likelihood Free Inference (SCAILFIN)
合作研究:用于人工智能和似然自由推理的可扩展网络基础设施 (SCAILFIN)
- 批准号:
1841448 - 财政年份:2018
- 资助金额:
$ 180.06万 - 项目类别:
Standard Grant
Collaborative Research: Proposal for an NSF-Wide Workshop to Explore the Prospects for a Common Response to the Requirements for Public Access to Research Data
合作研究:提议召开 NSF 范围内的研讨会,探讨对公众获取研究数据的要求做出共同回应的前景
- 批准号:
1654844 - 财政年份:2016
- 资助金额:
$ 180.06万 - 项目类别:
Standard Grant
Workshop Series to Gauge Community Requirements for Public Access to Data from NSF-Funded Research
衡量社区对公众获取 NSF 资助研究数据的要求的研讨会系列
- 批准号:
1457413 - 财政年份:2015
- 资助金额:
$ 180.06万 - 项目类别:
Standard Grant
Collaborative Research: Demonstration of the Electrical and Mechanical Stability of a BPM-Based Energy Spectrometer for the ILC
合作研究:ILC 基于 BPM 的能谱仪的电气和机械稳定性演示
- 批准号:
0935296 - 财政年份:2009
- 资助金额:
$ 180.06万 - 项目类别:
Continuing Grant
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