Collaborative Research: Environmental Data Initiative: Sustaining the Legacy of Scientific Data
Collaborative Research: Environmental Data Initiative: Sustaining the Legacy of Scientific Data
批准号:
1931174
负责人:
Paul Hanson
金额:
$198.63万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-01 至 2023-07-31
中文摘要
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英文摘要
The Environmental Data Initiative (EDI) facilitates the publication of environmental data generated by publicly funded research projects. With a mission to ensure the long-term viability and legacy of publicly funded scientific data, EDI is committed to making environmental data Findable, Accessible, Interoperable, and Reusable (FAIR). EDI provides support, training, and resources to help archive and publish high-quality data and metadata, providing accountability and transparency to data providers, while opening the door to answering new questions through Big Data analyses. EDI is actively engaged in the national and international community of data curators to promote data management best practices and stewardship. Programs served include, but are not limited to, Long Term Research in Environmental Biology (LTREB), Organization for Biological Field Stations (OBFS), MacroSystems Biology (MSB), and Long Term Ecological Research (LTER) within the NSF Division of Environmental Biology.EDI is a collaborative effort among data practitioners, software developers, and research scientists at the University of New Mexico and the University of Wisconsin-Madison to provide a comprehensive data archive and publication service for ecological researchers. To achieve the overall mission of EDI, the project focuses on (1) curation and training services tailored to the needs of the environmental sciences community and (2) the support and maintenance of a state-of-the-art data repository. EDI services include direct management of data documentation by practitioners experienced in environmental and ecological data science, community training in data management practices and data archive workflows for contributing data to the repository, and software development for the creation of scientific metadata. Team members are experienced in data science best practices and software frameworks, including RStudio and Jupyter Notebooks, and are certified data and software Carpentry instructors. The PASTA+ software behind the EDI data repository is based on a Service Oriented Architecture (SOA). The EDI data repository is designed to be simple, durable, extensible, and congruent with the FAIR guiding principles. EDI has created a feature-rich, public-facing Data Portal that provides a user-friendly web-browser interface to the repository, allowing users to evaluate and upload data, and discover and view data and associated metadata. The Data Portal also serves as a complete reference implementation in Java for guiding other software developers on the use of the PASTA+ application programming interface which enables developers to interact directly with the repository at its lowest level. These technologies and services are designed to promote the persistence and use of scientific data and to ensure that all environmental scientists have access to high-quality data curation and publication services. The EDI repository may be found at https://environmentaldatainitiative.org/.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(2)
专著(0)
科研奖励(0)
会议论文
Publishing Ecological Data in a Repository: An Easy Workflow for Everyone
在存储库中发布生态数据:适合每个人的简单工作流程
DOI:
10.1002/bes2.2018
发表时间:
2022
期刊:
The Bulletin of the Ecological Society of America
影响因子:
--
作者:
[Vanderbilt, Kristin, Ide, Jon, Gries, Corinna, Grossman‐Clarke, Susanne, Hanson, Paul, O'Brien, Margaret, Servilla, Mark, Smith, Colin, Waide, Robert, Zollo‐Venecek, Kyle]
通讯作者:
Zollo‐Venecek, Kyle
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批准号:2213549
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项目类别:Standard Grant
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资助金额:$52.59万
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财政年份:2022
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负责人:Paul Hanson
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依托单位:
Collaborative Research: The Environmental Data Initiative - long-term availability of research data
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批准号:2223103
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项目类别:Standard Grant
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资助金额:$144.91万
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财政年份:2022
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负责人:Paul Hanson
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依托单位:
Collaborative Research: Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
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批准号:1934633
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项目类别:Continuing Grant
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资助金额:$34.19万
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财政年份:2019
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负责人:Paul Hanson
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依托单位:
Collaborative Research: Consequences of changing oxygen availability for carbon cycling in freshwater ecosystems
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批准号:1753657
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项目类别:Standard Grant
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资助金额:$8.72万
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财政年份:2018
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负责人:Paul Hanson
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依托单位:
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批准号:1137353
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项目类别:Standard Grant
-
资助金额:$70.34万
-
财政年份:2012
-
负责人:Paul Hanson
-
依托单位:
REU Site: Collaborative Research: Dune Undergraduate Geomorphology and Geochronology (DUGG) Project in Wisconsin
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批准号:0850525
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项目类别:Standard Grant
-
资助金额:$4.53万
-
财政年份:2009
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负责人:Paul Hanson
-
依托单位:
Collaborative Research: Linking loess landforms and eolian processes
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批准号:0921838
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项目类别:Standard Grant
-
资助金额:$4.57万
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财政年份:2009
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负责人:Paul Hanson
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依托单位:
CDI-Type II: Collaborative Research: New knowledge from the Global Lake Ecological Observatory Network (GLEON)
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批准号:0941510
-
项目类别:Standard Grant
-
资助金额:$114.01万
-
财政年份:2009
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负责人:Paul Hanson
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依托单位:
Collaborative Research: The Significance of the Loess Mantle in Midwestern Soil Catena Evolution
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批准号:0751911
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项目类别:Continuing Grant
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资助金额:$2.72万
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财政年份:2008
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负责人:Paul Hanson
-
依托单位:
RCN: Advancing Lake Ecology by Building an International Community to Exploit Innovations in Sensor Network Technology
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批准号:0639229
-
项目类别:Continuing Grant
-
资助金额:$49.92万
-
财政年份:2007
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负责人:Paul Hanson
-
依托单位:
New Methods in Phosphorus Chemistry
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批准号:0503875
-
项目类别:Standard Grant
-
资助金额:$36.0万
-
财政年份:2005
-
负责人:Paul Hanson
-
依托单位:
Collaborative Research: Automating Scaling and Data Processing in a Network of Sensors: Towards a Global Network for Lake Metabolism Research and Education
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批准号:0446017
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项目类别:Continuing Grant
-
资助金额:$0.0万
-
财政年份:2005
-
负责人:Paul Hanson
-
依托单位:
CAREER: Metathesis Strategies to Diverse Sulfur- and Phosphorus-Based Oligomers
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批准号:9984926
-
项目类别:Continuing Grant
-
资助金额:$37.6万
-
财政年份:2000
-
负责人:Paul Hanson
-
依托单位:
国内基金
海外基金
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