ABI:Innovation: Collaborative Research: The "Global Names Architecture," an infrastructure for unifying taxonomic databases and services for managers of biological information.

ABI:创新:协作研究:“全球名称架构”,一种为生物信息管理者统一分类数据库和服务的基础设施。

基本信息

  • 批准号:
    1062378
  • 负责人:
  • 金额:
    $ 45.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-06-15 至 2015-05-31
  • 项目状态:
    已结题

项目摘要

The Marine Biological Laboratory (Woods Hole, MA), Bishop Museum (Honolulu), California Academy of Sciences (San Francisco), and Missouri Botanical Gardens (St Louis) have received an ABI innovation award to establish the Global Names Architecture (GNA), a modular suite of databases, applications, and semantic web services that will help integrate information across the Life Sciences. The project will extend existing proof of concept components, explore alternative solutions for technical challenges, and integrate the components into a pilot GNA. The GNA capitalizes on Linnaeus' system of Latin scientific names for organisms, a system that has endured as one of the oldest and most universal standards in science. Virtually all information in biology is given context by evolution and the hierarchical pattern of shared similarities it has produced. Scientists name species and change them with growing knowledge about their evolution and relationships. These changes create a tangled network of synonyms that, along with homonyms and variant spellings, make it difficult to manage information effectively The GNA will create a system that enables us to translate names correctly across the literature and on-line datasets. While the GNA has implications for the long-term management of information in the life sciences, the initial beneficiaries will be the more than 10,000 taxonomists worldwide, on whose expertise our understanding of the world's biodiversity rests. A scientific name 'usage bank' coupled with the Biodiversity Heritage Library's CiteBank will generate shared indexes and access keys to the taxonomic literature, the source of most of our knowledge about nearly 2 million species. New nomenclatural registries founded by the co-operation of the Index Fungorum and the International Commission of Zoological Nomenclature's ZooBank will broadcast new discoveries as they are registered. Other tools will help taxonomists collaborate to build authoritative catalogs of the Earth?s biodiversity, then merge and integrate them, a process that GNA will transform into a semantic cyberinfrastructure that will organize the growing, internet-accessible, knowledge of Earth's biosphere. Ultimately, other NSF grantees in the life sciences should be able to augment their Data Management Plans by exposing their web sites to services that will create taxonomic indices. More information about this project can be obtained from http://globalnames.org or dpatterson@mbl.edu.
海洋生物实验室(马萨诸塞州伍兹霍尔)、主教博物馆(火奴鲁鲁)、加州科学院(旧金山)和密苏里州植物园(圣路易斯)获得了ABI创新奖,以建立全球名称体系结构(GNA),这是一套模块化的数据库、应用程序和语义Web服务,将有助于整合整个生命科学的信息。该项目将扩展现有的概念验证组成部分,探索应对技术挑战的替代解决方案,并将这些组成部分纳入试点GNA。GNA利用了林奈的拉丁文生物体科学名称体系,这一体系一直是科学界最古老和最普遍的标准之一。实际上,生物学中的所有信息都是由进化及其产生的共享相似性的等级模式赋予背景的。科学家给物种命名,并随着对物种进化和关系的日益了解而改变它们。这些变化造成了一个错综复杂的同义词网络,加上同义词和不同的拼写,使有效管理信息变得困难。GNA将创建一个系统,使我们能够在文献和在线数据集中正确地翻译姓名。虽然GNA对生命科学信息的长期管理有影响,但最初的受益者将是世界各地的1万多名分类学家,我们对世界生物多样性的理解有赖于他们的专业知识。与生物多样性遗产图书馆的CiteBank结合使用的科学名称将生成共享索引并访问分类文献的关键字,这些文献是我们关于近200万个物种的大部分知识的来源。由Index Fungorum和国际动物命名委员会的ZooBank合作建立的新命名登记将在登记时公布新的发现。其他工具将帮助分类学家合作建立权威的地球目录-S生物多样性,然后将它们合并和整合,GNA将这个过程转变为一个语义网络基础设施,将组织日益增长的、互联网可访问的地球生物圈知识。最终,生命科学领域的其他NSF受赠者应该能够通过将他们的网站暴露于将创建分类索引的服务来增强他们的数据管理计划。有关该项目的更多信息,请访问http://globalnames.org或电子邮件:dpatterson@mbl.edu。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Stanley Blum其他文献

Stanley Blum的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Stanley Blum', 18)}}的其他基金

Catalog of Fishes 2.0: Improving Services and Preparing for Community Participation
鱼类目录 2.0:改善服务并为社区参与做好准备
  • 批准号:
    0642321
  • 财政年份:
    2007
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
A Schema Library for Biological Collection Databases
生物收集数据库的模式库
  • 批准号:
    9996204
  • 财政年份:
    1998
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
A Workshop on the Development, Management, and Dissemination of Taxonomic Authority Files, June 1998, Reston, Virginia
关于分类规范文件的开发、管理和传播的研讨会,1998 年 6 月,弗吉尼亚州雷斯顿
  • 批准号:
    9896271
  • 财政年份:
    1998
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
A Schema Library for Biological Collection Databases
生物收集数据库的模式库
  • 批准号:
    9723940
  • 财政年份:
    1997
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
A Workshop on the Development, Management, and Dissemination of Taxonomic Authority Files, June 1998, Reston, Virginia
关于分类规范文件的开发、管理和传播的研讨会,1998 年 6 月,弗吉尼亚州雷斯顿
  • 批准号:
    9726045
  • 财政年份:
    1997
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant

相似海外基金

Collaborative Research: ABI Innovation: FuTRES, an Ontology-Based Functional Trait Resource for Paleo- and Neo-biologists
合作研究:ABI 创新:FuTRES,为古生物学家和新生物学家提供的基于本体的功能性状资源
  • 批准号:
    2201182
  • 财政年份:
    2021
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Towards Computational Exploration of Large-Scale Neuro-Morphological Datasets
合作研究:ABI 创新:大规模神经形态数据集的计算探索
  • 批准号:
    2028361
  • 财政年份:
    2020
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Enabling machine-actionable semantics for comparative analyses of trait evolution
合作研究:ABI 创新:启用机器可操作的语义以进行特征进化的比较分析
  • 批准号:
    2048296
  • 财政年份:
    2020
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Biofilm Resource and Information Database (BRaID): A Tool to Fuse Diverse Biofilm Data Types
合作研究:ABI 创新:生物膜资源和信息数据库 (BRaID):融合多种生物膜数据类型的工具
  • 批准号:
    2027203
  • 财政年份:
    2019
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Quantifying biogeographic history: a novel model-based approach to integrating data from genes, fossils, specimens, and environments
合作研究:ABI 创新:量化生物地理历史:一种基于模型的新颖方法来整合来自基因、化石、标本和环境的数据
  • 批准号:
    1759729
  • 财政年份:
    2018
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Quantifying biogeographic history: a novel model -based approach to integrating data from genes, fossils, specimens, and environments
合作研究:ABI 创新:量化生物地理历史:一种基于模型的新颖方法来整合来自基因、化石、标本和环境的数据
  • 批准号:
    1759708
  • 财政年份:
    2018
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759836
  • 财政年份:
    2018
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Automated Prioritization and Design of Experiments to Validate and Improve Mathematical Models of Molecular Regulatory Systems
合作研究:ABI 创新:自动优先排序和实验设计,以验证和改进分子调控系统的数学模型
  • 批准号:
    1759858
  • 财政年份:
    2018
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759796
  • 财政年份:
    2018
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: FuTRES, an Ontology-Based Functional Trait Resource for Paleo- and Neo-biologists
合作研究:ABI 创新:FuTRES,为古生物学家和新生物学家提供的基于本体的功能性状资源
  • 批准号:
    1759821
  • 财政年份:
    2018
  • 资助金额:
    $ 45.88万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了