EarthCube Building Block: GeoDataspace: Simplifying Data Management for Geoscience Models
EarthCube 构建模块:GeoDataspace:简化地球科学模型的数据管理
基本信息
- 批准号:1440327
- 负责人:
- 金额:$ 51.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-01 至 2017-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A big obstacle to such sharing is the inordinate amount of time and effort that must be spent in creating, communicating, receiving, and interpreting specifications of data, models, and associated knowledge. This inability to quickly and conveniently share is particularly a problem in computational geoscience, wherein scientists spend significant portions of their time managing the many input and output files that are typically associated with a model. When developing, testing, validating, and comparing models, particularly coupled models, the number of such data elements and the complexity associated with their management soon outgrows human memory capacity. The unfortunate consequence is that researchers often narrow the scope of a model analysis, compromise research quality, or conduct analysis within restricted teams. This pilot project will demonstrate a mechanism to overcome this challenge in the scientific community.The GeoDataspace pilot will develop a new data-centric approach to describing models and associated data resources for computational geoscience. This new approach will both simplify model use and enhance the shareability, reusability, and reproducibility of models, data, and computations?properties widely sought by computational geoscientists. Specifically, the project will develop methods for defining, sharing, and accessing geounits, collections of descriptive metadata that define a m the entire collection of files needed to run a computational model, including details about the model run. In the case of files, processing and manipulation scripts, manifests, spreadsheets, or one-off databases, the encapsulation may consist simplify of the elements location and specification of each element. The GeoDataspace team includes (a) experts in cyberinfrastructure, data management systems, and SaaS at UChicago; (b) experienced and leading geoscientists in four domains of solid earth, climate, hydrology, and space science, and a leading expert, as well as, geoscientist on model coupling frameworks. Together the team has identified a cross-cutting data management barrier that must be critically addressed in a domain-independent manner so as to extend capabilities to a broader set of geoscientists.All participating geoscientists are initiators, leaders, working-group chairs, and/or representatives of the five modeling communities we represent, including Computational Infrastructure for Geodynamics (CIG), Community Earth System Models (CESM), Consortium of Universities for the Advancement of Hydrological Science, Inc. (CUAHSI), and Community Coordinated Modeling Center (CCMC) at NASA, and finally Earth Systems Bridge (ESB), a community invested in developing model coupling frameworks. In total, the number of geoscientists either directly or indirectly involved in GeoDataspace is in the hundreds, if not thousands.
这种共享的一大障碍是必须花费过多的时间和精力来创建、交流、接收和解释数据、模型和相关知识的规范。这种无法快速方便地共享的问题在计算地球科学中尤其严重,因为科学家花费大量时间来管理通常与模型相关的许多输入和输出文件。在开发、测试、验证和比较模型(尤其是耦合模型)时,此类数据元素的数量以及与其管理相关的复杂性很快就会超出人类的记忆容量。不幸的后果是,研究人员经常缩小模型分析的范围,损害研究质量,或在有限的团队内进行分析。该试点项目将展示一种克服科学界这一挑战的机制。GeoDataspace 试点项目将开发一种新的以数据为中心的方法来描述计算地球科学的模型和相关数据资源。这种新方法将简化模型的使用,并增强模型、数据和计算的可共享性、可重用性和可重复性——计算地球科学家广泛寻求的属性。具体来说,该项目将开发用于定义、共享和访问地理单元、描述性元数据集合的方法,这些元数据集合定义运行计算模型所需的整个文件集合,包括有关模型运行的详细信息。在文件、处理和操作脚本、清单、电子表格或一次性数据库的情况下,封装可以包括元素位置的简化和每个元素的规范。 GeoDataspace 团队包括 (a) 芝加哥大学网络基础设施、数据管理系统和 SaaS 方面的专家; (b) 固体地球、气候、水文学和空间科学四个领域经验丰富的领先地球科学家,以及模型耦合框架方面的领先专家和地球科学家。该团队共同确定了一个跨领域的数据管理障碍,必须以独立于领域的方式严格解决该障碍,以便将能力扩展到更广泛的地球科学家。所有参与的地球科学家都是发起者、领导者、工作组主席和/或我们所代表的五个建模社区的代表,包括地球动力学计算基础设施 (CIG)、社区地球系统模型 (CESM)、水文科学促进大学联合会(CUAHSI)、NASA 的社区协调建模中心 (CCMC),最后是地球系统桥 (ESB),这是一个投资开发模型耦合框架的社区。直接或间接参与 GeoDataspace 的地球科学家总数即使不是数千,也有数百人。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Tanu Malik其他文献
Kondo: Efficient Provenance-Driven Data Debloating
Kondo:高效的来源驱动的数据膨胀
- DOI:
- 发表时间:
1970-01-01 - 期刊:
- 影响因子:0
- 作者:
A. Modi;Rohan Tikmany;Tanu Malik;Raghavan Komondoor;Ashish Gehani;Deepak;D’Souza - 通讯作者:
D’Souza
Access-Based Carving of Data for Efficient Reproducibility of Containers
基于访问的数据雕刻可实现容器的高效再现性
- DOI:
10.48550/arxiv.2305.04641 - 发表时间:
2023-05-08 - 期刊:
- 影响因子:0
- 作者:
Rohan Tikmany;A. Modi;Raffay Atiq;Moaz Reyad;Ashish Gehani;Tanu Malik - 通讯作者:
Tanu Malik
The Second Data Release of the Sloan Digital Sky Survey
斯隆数字巡天第二次数据发布
- DOI:
10.1086/421365 - 发表时间:
2004-03-13 - 期刊:
- 影响因子:0
- 作者:
K. Abazajian;J. Adelman;M. Agüeros;S. Allam;Kurt;S. Anderson;S. Anderson;J. Annis;N. Bahcall;I. Baldry;Steven;Bastian;A. Berlind;M. Bernardi;M. Blanton;J. Bochanski;W. Boroski;J. Briggs;J. Brinkmann;R. Brunner;Tamás;Budavári;L. Carey;S. Carliles;F. Cast;er;er;A. Connolly;István;Csabai;M. Doi;F. Dong;D. Eisenstein;M. Evans;Xiaohui Fan;D. Finkbeiner;S. Friedman;J. Frieman;M. Fukugita;Roy;R. Gal;B. Gillespie;K. Glazebrook;James Douglas Allan Gray;E. Grebel;J. Gunn;V. Gurbani;P. Hall;M. Hamabe;F. Harris;C. Hugh;Harris;M. Harvanek;T. Heckman;J. Hendry;G. Hennessy;R. Hindsley;C. Hogan;D. Hogg;D. Holmgren;Shin;Ichikawa;T. Ichikawa;Ž. Ivezić;S. Jester;D. Johnston;Anders;M. Jorgensen;S. Kent;S. Kleinman;G. Knapp;A. Kniazev;R. Kron;J. Krzesinski;P. Kunszt;N. Kuropatkin;Q. Donald;Lamb;H. Lampeitl;Brian C. Lee;R. F. Leger;Nolan Li;Huan Lin;Y. Loh;D. Long;J. Loveday;R. Lupton;Tanu Malik;Bruce;Margon;T. Matsubara;P. McGehee;T. Mckay;Avery;Meiksin;J. Munn;R. Nakajima;T. Nash;E. Neilsen;Heidi Jo;Newberg;P. Newman;R. Nichol;T. Nicinski;M. Nieto;A. Nitta;S. Okamura;W. O'Mullane;J. Ostriker;R. Owen;N. Padmanabhan;J. Peoples;J. Pier;A. Pope;Thomas R. Quinn;G. Richards;M. Richmond;H. Rix;C. Rockosi;D. Schlegel;D. Schneider;R. Scranton;M. Sekiguchi;U. Seljak;G. Sergey;B. Sesar;E. Sheldon;K. Shimasaku;Walter A. Siegmund;N. Silvestri;J. A. Smith;V. Smolčić;S. Snedden;Albert;Stebbins;C. Stoughton;M. Strauss;M. Subbarao;A. Szalay;I. Szapudi;P. Szkody;G. Szokoly;M. Tegmark;Luis Teodoro;Aniruddha;R. Thakar;C. Tremonti;D. Tucker;A. Uomoto;D. Berk;Jan v;enBerg;enBerg;M. Vogeley;W. Voges;N. Vogt;M. Lucianne;Walkowicz;Shu;D. Weinberg;A. West;S. White;Brian;C. Wilhite;Yongzhong Xu;B. Yanny;N. Yasuda;C. Yip;D. Yocum;D. York;I. Zehavi;S. Zibetti;D. Zucker - 通讯作者:
D. Zucker
Genistein and daidzein
金雀异黄酮和大豆黄酮
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
L. Sarao;S. Kaur;Tanu Malik;Ashutosh Kumar Singh - 通讯作者:
Ashutosh Kumar Singh
Expanding the Scope of Artifact Evaluation at HPC Conferences: Experience of SC21
扩大 HPC 会议上的工件评估范围:SC21 的经验
- DOI:
- 发表时间:
2022-01 - 期刊:
- 影响因子:0
- 作者:
Tanu Malik; Anjo Vahldiek - 通讯作者:
Anjo Vahldiek
Tanu Malik的其他文献
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{{ truncateString('Tanu Malik', 18)}}的其他基金
CAREER: Advanced Containers for Reproducibility in Computational and Data Science
职业:计算和数据科学中可重复性的先进容器
- 批准号:
1846418 - 财政年份:2019
- 资助金额:
$ 51.94万 - 项目类别:
Continuing Grant
EarthCube Data Capabilities: Collaborative Research: Integration of Reproducibility into Community Cyberinfrastructure
EarthCube 数据能力:协作研究:将可重复性集成到社区网络基础设施中
- 批准号:
1928288 - 财政年份:2019
- 资助金额:
$ 51.94万 - 项目类别:
Standard Grant
EarthCube Building Block: GeoDataspace: Simplifying Data Management for Geoscience Models
EarthCube 构建模块:GeoDataspace:简化地球科学模型的数据管理
- 批准号:
1722152 - 财政年份:2016
- 资助金额:
$ 51.94万 - 项目类别:
Standard Grant
EarthCube Building Blocks: Collaborative Proposal: GeoTrust: Improving Sharing and Reproducibility of Geoscience Applications
EarthCube 构建模块:协作提案:GeoTrust:提高地球科学应用的共享性和可重复性
- 批准号:
1639759 - 财政年份:2016
- 资助金额:
$ 51.94万 - 项目类别:
Standard Grant
EarthCube IA: Collaborative Proposal: Integrated GeoScience Observatory
EarthCube IA:协作提案:综合地球科学观测站
- 批准号:
1661918 - 财政年份:2016
- 资助金额:
$ 51.94万 - 项目类别:
Standard Grant
EarthCube IA: Collaborative Proposal: Integrated GeoScience Observatory
EarthCube IA:协作提案:综合地球科学观测站
- 批准号:
1540901 - 财政年份:2015
- 资助金额:
$ 51.94万 - 项目类别:
Standard Grant
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