RIDIR: Collaborative Research: Developing and Deploying SKOPE--A resource for Synthesizing Knowledge of Past Environments
RIDIR:协作研究:开发和部署 SKOPE——综合过去环境知识的资源
基本信息
- 批准号:1637155
- 负责人:
- 金额:$ 88.46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-15 至 2022-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will develop SKOPE (Synthesizing Knowledge of Past Environments), a freely available Web site that will provide easy access to state-of-the-art measurements and reconstructions of long-term environmental data, such as rainfall, temperature, plant and animal distributions, streamflow, and soils. Given a time period and a location, it will display the data graphically and will permit users to download the original high-resolution environmental data. By enabling scholars to easily discover, explore, visualize, and synthesize knowledge of environmental stability and change over centuries or millennia, SKOPE will empower reproducible research on the effects of climatic variation on human societies and the substantial impacts of humans on ancient and modern environments. It will also facilitate ongoing improvement of paleoenvironmental reconstructions. SKOPE will transform vast amounts of prior data collection, modeling, and research into usable environmental knowledge, enhancing the infrastructure of scientific research in such diverse disciplines as agronomy, anthropology, archaeology, ecology, economics, geography, political science, sociology, and sustainability. SKOPE will also make available publicly funded paleoenvironmental data and models to users in industry and government. For example, planners will be able to use SKOPE?s long-term environmental reconstructions to investigate vulnerabilities in infrastructure not revealed by historical experience (for example, streamflow or rainfall regimes outside the ranges of those documented historically). Students will have free access to high-quality environmental scenarios in which to situate their studies. Members of the general public will be able to see how ancient environments differed from those of today. Expanding the community able to obtain and use paleoenvironmental information will increase public scientific literacy and public engagement with science and technology.Recent research has demonstrated that investigations of contemporary societal problems can benefit from the use of long-term environmental data and from comparisons with cases in which the interactions of human societies with their environments is well-documented over centuries. By providing easy access to time- and place-specific long-term environmental data, this project seeks to facilitate those efforts. SKOPE addresses two critical challenges to contemporary science: increasing access to publicly funded research; and ensuring that scientific results are transparent and reproducible. SKOPE will enable users to easily discover, download, visualize, and explore many sources of paleoenvironmental data that resulted from publicly funded research that are now difficult (at best) to find and use. SKOPE will also provide robust support for reproducible scientific research. Datasets provided by SKOPE will be accompanied by a systematic, comprehensible record of their origin and computational derivation, giving researchers an unprecedented ability to understand how the data were obtained.
该项目将开发SKOPE(过去环境综合知识),这是一个免费提供的网站,将提供对长期环境数据(例如降雨量、温度、植物和动物分布)的最先进测量和重建的轻松访问。、径流和土壤。给定一个时间段和一个地点,它将以图形方式显示数据,并允许用户下载原始的高分辨率环境数据。通过使学者能够轻松地发现,探索,可视化和综合环境稳定性和数百年或数千年来的变化知识,SKOPE将使气候变化对人类社会的影响以及人类对古代和现代环境的重大影响的可重复研究成为可能。它还将促进正在进行的古环境重建的改善。SKOPE将把大量先前的数据收集、建模和研究转化为可用的环境知识,加强农学、人类学、考古学、生态学、经济学、地理学、政治学、社会学和可持续发展等不同学科的科学研究基础设施。SKOPE还将向工业和政府用户提供公共资助的古环境数据和模型。例如,规划师将能够使用SKOPE?长期的环境重建,以调查基础设施的脆弱性,没有揭示的历史经验(例如,径流或降雨制度的范围以外的历史记录)。学生将可以免费获得高质量的环境场景,以支持他们的学习。公众将能够看到古代环境与今天的环境有何不同。扩大能够获得和使用古环境信息的社区将提高公众的科学素养和公众对科学和技术的参与,最近的研究表明,对当代社会问题的调查可以受益于使用长期环境数据,并与几个世纪以来人类社会与环境相互作用的案例进行比较。该项目通过提供便捷的获取特定时间和地点的长期环境数据的途径,力求促进这些努力。SKOPE解决了当代科学面临的两个关键挑战:增加获得公共资助研究的机会;确保科学成果的透明性和可复制性。SKOPE将使用户能够轻松地发现、下载、可视化和探索许多来自公共资助研究的古环境数据来源,这些数据现在(充其量)很难找到和使用。SKOPE还将为可重复的科学研究提供强有力的支持。SKOPE提供的数据集将伴随着其来源和计算推导的系统性,可理解的记录,使研究人员能够前所未有地了解数据是如何获得的。
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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Bertram Ludaescher其他文献
View Definition and DTD Inference for XML
XML 的视图定义和 DTD 推断
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Bertram Ludaescher;Y. Papakonstantinou;P. Velikhov;V. Vianu - 通讯作者:
V. Vianu
Bertram Ludaescher的其他文献
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{{ truncateString('Bertram Ludaescher', 18)}}的其他基金
Collaborative Research: Elements: TRAnsparency CErtified (TRACE): Trusting Computational Research Without Repeating It
协作研究:要素:TRAnsparency CErtified (TRACE):信任计算研究而不重复它
- 批准号:
2209628 - 财政年份:2022
- 资助金额:
$ 88.46万 - 项目类别:
Standard Grant
CC*DNI DIBBS: Merging Science and Cyberinfrastructure Pathways: The Whole Tale
CC*DNI DIBBS:科学与网络基础设施融合之路:整个故事
- 批准号:
1541450 - 财政年份:2016
- 资助金额:
$ 88.46万 - 项目类别:
Cooperative Agreement
BCSP: Collaborative Research: ABI Development: Exploring Taxon Concepts (ETC) through analysing fine-grained semantic markup of descriptive literature
BCSP:协作研究:ABI 开发:通过分析描述性文献的细粒度语义标记探索分类概念 (ETC)
- 批准号:
1643002 - 财政年份:2015
- 资助金额:
$ 88.46万 - 项目类别:
Standard Grant
Collaborative Research: ABI Development: Kurator: A Provenance-enabled Workflow Platform and Toolkit to Curate Biodiversity Data
协作研究:ABI 开发:Kurator:用于管理生物多样性数据的支持来源的工作流程平台和工具包
- 批准号:
1356751 - 财政年份:2014
- 资助金额:
$ 88.46万 - 项目类别:
Standard Grant
BCC: Collaborative Research: Designing SKOPE: Synthesized Knowledge of Past Environments
BCC:协作研究:设计 SKOPE:过去环境的综合知识
- 批准号:
1439603 - 财政年份:2014
- 资助金额:
$ 88.46万 - 项目类别:
Standard Grant
BCSP: Collaborative Research: ABI Development: Exploring Taxon Concepts (ETC) through analysing fine-grained semantic markup of descriptive literature
BCSP:协作研究:ABI 开发:通过分析描述性文献的细粒度语义标记探索分类概念 (ETC)
- 批准号:
1147273 - 财政年份:2012
- 资助金额:
$ 88.46万 - 项目类别:
Standard Grant
III:Small: A Logic-Based, Provenance-Aware System for Merging Scientific Data under Context and Classification Constraints
III:Small:基于逻辑、来源感知的系统,用于在上下文和分类约束下合并科学数据
- 批准号:
1118088 - 财政年份:2011
- 资助金额:
$ 88.46万 - 项目类别:
Continuing Grant
SDCI NMI Improvement: Development of Kepler CORE -- A Comprehensive, Open, Robust, and Extensible Scientific Workflow Infrastructure
SDCI NMI 改进:Kepler CORE 的开发——全面、开放、稳健、可扩展的科学工作流程基础设施
- 批准号:
0722079 - 财政年份:2007
- 资助金额:
$ 88.46万 - 项目类别:
Continuing Grant
Collaborative Research: Core Database Technologies to Enable the Integration of AToL Information
合作研究:支持AToL信息集成的核心数据库技术
- 批准号:
0630033 - 财政年份:2006
- 资助金额:
$ 88.46万 - 项目类别:
Standard Grant
CEO:P--COMET: Coast-to-Mountain Environmental Transect
CEO:P--COMET:从海岸到山区的环境断面
- 批准号:
0619139 - 财政年份:2006
- 资助金额:
$ 88.46万 - 项目类别:
Continuing Grant
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