| 项目编号: | 1545762
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| 项目名称: | EAGER: Normalizing Paleoclimate Variables to Support Data Intensive Science |
| 作者: | Carrie Morrill
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| 承担单位: | University of Colorado at Boulder
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| 批准年: | 2014
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| 开始日期: | 2015-09-01
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| 结束日期: | 2018-08-31
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| 资助金额: | USD208409
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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| 英文关键词: | paleoclimatology
; project
; science community
; paleoclimate dataset
; datum intensive science
; scientific datum
; datum compilation
; eager program
; datum generator
; paleoclimate datum
; datum scientist
; wdc-paleo
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| 英文摘要: | This award uses funds, under the auspices of the EArly-concept Grants for Exploratory Research (EAGER) program, for a project aimed at making paleoclimate data more accessible to the wider science community and the interested public.
The project will help the NSF coordinate and cooperate with the NOAA World Data Center for Paleoclimatology (WDC-Paleo) in Boulder Colorado in an effort to create standards for describing variables in paleoclimate datasets and to use these standards to normalize variables in the WDC-Paleo archive. Such variables include depth, age, and proxy measurements used to infer past climate.
To accomplish these goals, the researcher will draw upon the expertise of data generators and data scientists and will generate the first set of extensible controlled vocabularies that are consistent across multiple proxy types and that have the level of detail necessary to support data intensive science.
The planned activities fit well into the potentially transformative, high risk, and exploratory nature of the EAGER programs because it is an untested path forward for the paleoclimatology community. Past related efforts were limited to sub-disciplines within paleoclimatology and, more importantly, not focused on creating vocabularies that are complete enough and precise enough to facilitate the sorts of data compilations that are now beginning to drive the field of paleoclimatology forward. This project is also inherently interdisciplinary, as it relies heavily on input from both the paleoclimate and the informatics communities.
If successful, this project will have a large impact on the field of paleoclimatology by facilitating data-intensive analyses using large numbers of proxy datasets in new and transformative ways within the discipline and through collaboration with other disciplines.
Furthermore, such an activity aids the NSF in complying with its federal requirements to aid access of scientific data from publicly-funded research by the wider science community and the interested public. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/93447
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Carrie Morrill. EAGER: Normalizing Paleoclimate Variables to Support Data Intensive Science. 2014-01-01.
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