Collaborative Research: ABI Development: Symbiota2: Enabling greater collaboration and flexibility for mobilizing biodiversity data
协作研究:ABI 开发:Symbiota2:为调动生物多样性数据提供更大的协作和灵活性
基本信息
- 批准号:2209978
- 负责人:
- 金额:$ 43.55万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2023-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Biological collections in the United States have amassed over 500 million specimens but only 14% of these have been digitized; thus we need to greatly expand existing tools and methods to efficiently digitize specimen data. This project addresses this need by transforming Symbiota, one of the most widely used software platforms for mobilizing specimens in US research collections. Symbiota is an online biodiversity data management software platform that integrates data and images from networks of data providers. It has helped mobilize over 37 million specimen records from 766 natural history collections and is one of the most successful platforms for creating large collaborative data communities for sharing and displaying biodiversity data. Symbiota is used by 74% of the projects funded by the NSF Advancing Digitization of Biological Collections program and is thus a key platform to help digitize the estimated 430 million specimens in US collections that have yet to be digitized. Symbiota's success is largely due to its low learning curve and powerful set of tools for documenting species occurrences and integrating them with images and detailed taxonomic descriptions. But its widespread use has yielded significant feedback on how it could be made more effective. To accomplish this and aid its future development, Symbiota needs a fundamental restructuring. This project will transform Symbiota into a new version, Symbiota2, to catalyze contributions, expand research use, enrich education-outreach activities, and increase sustainability. Symbiota2 will enhance our ability to address a broad spectrum of biodiversity-related research questions by facilitating data visualization, linking multiple data sources (e.g., publications), creating better tools for data quality assessment, and monitoring data usage.The transformation of Symbiota into Symbiota2 will completely refactor its code structure to emphasize modularity and improve usability and accessibility. This transformation will achieve the following goals, derived through direct management of Symbiota data portals and concerted and dedicated interactions with the Symbiota user community: 1) Provide RESTful web services so that data can be easily incorporated into a scientific workflow, 2) Build a plugin architecture to ease the development of new features, 3) Create a database abstraction layer to include a wide variety of backend database management systems, 4) Increase data utility by supporting analytical and visualization tools, 5) Separate the Graphical User Interface (GUI) from other processing so that new GUIs can be used, and 6) Enhance the data collection by making it easier to add new kinds of data and work offline. With these goals met, Symbiota2 will be a powerful biodiversity data management system fulfilling the needs of developers, data providers, researchers, and education professionals, as well as being interoperable with other biodiversity initiatives. Please visit the project's home page at symbiota.org to learn more.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.
美国的生物收集物已积累了超过5亿个标本,但其中只有14%被数字化;因此,我们需要大大扩展现有工具和方法,以有效地数字化标本数据。该项目通过改变Symbiota(用于动员美国研究收藏中的标本的最广泛的软件平台之一)来满足这一需求。 Symbiota是一个在线生物多样性数据管理软件平台,可集成数据提供商网络的数据和图像。它帮助动员了766个自然历史收藏中的3700万种标本记录,是创建大型协作数据社区的最成功平台之一,用于共享和显示生物多样性数据。 Symbiota由NSF资助的生物收藏计划的数字化资助的项目中有74%使用,因此是一个关键平台,可以帮助数字化尚未数字化的美国收藏中估计的4.3亿个标本。 Symbiota的成功很大程度上是由于其学习曲线低的曲线以及用于记录物种发生的强大工具,并将其与图像和详细的分类学描述集成在一起。但是,它的广泛使用已经对如何使其更有效产生了重大反馈。为了实现这一目标并帮助其未来的发展,Symbiota需要进行基本的重组。该项目将Symbiota转变为新版本Symbiota2,以促进贡献,扩大研究用途,丰富教育 - 造影活动并提高可持续性。 Symbiota2将通过促进数据可视化,链接多个数据源(例如出版物),为数据质量评估创造更好的工具,并监视Symbiota将Symbiota向Symbiota对Symbiota的转换将其代码结构的转变以使其代码结构的转换并提高使用方式,从而强调了模型性和访问,Symbiota2将增强我们解决与生物多样性相关的研究问题的能力。 This transformation will achieve the following goals, derived through direct management of Symbiota data portals and concerted and dedicated interactions with the Symbiota user community: 1) Provide RESTful web services so that data can be easily incorporated into a scientific workflow, 2) Build a plugin architecture to ease the development of new features, 3) Create a database abstraction layer to include a wide variety of backend database management systems, 4) Increase data utility by supporting analytical and visualization工具,5)将图形用户界面(GUI)与其他处理分开,以便可以使用新的GUI,而6)通过使添加新类型的数据和离线工作更容易增强数据收集。有了这些目标,Symbiota2将是一个有力的生物多样性数据管理系统,可满足开发人员,数据提供者,研究人员和教育专业人员的需求,并与其他生物多样性计划互操作。请访问该项目的主页Symbiota.org,以了解更多信息。该奖项反映了NSF的法定任务,并且使用基金会的知识分子优点和更广泛的影响审查标准,被认为值得通过评估来获得支持。
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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{{ truncateString('Neil Cobb', 18)}}的其他基金
Collaborative Research: Digitization TCN: iDigBees Network, Towards Complete Digitization of US Bee Collections to Promote Ecological and Evolutionary Research in a Keystone Clade
合作研究:数字化 TCN:iDigBees 网络,实现美国蜜蜂收藏的完全数字化,以促进重点进化枝的生态和进化研究
- 批准号:
2216927 - 财政年份:2022
- 资助金额:
$ 43.55万 - 项目类别:
Standard Grant
Collaborative Research: ABI Development: Symbiota2: Enabling greater collaboration and flexibility for mobilizing biodiversity data
协作研究:ABI 开发:Symbiota2:为调动生物多样性数据提供更大的协作和灵活性
- 批准号:
1759966 - 财政年份:2018
- 资助金额:
$ 43.55万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Testing Near-term Ecological Forecasting Throughout Emerging Extreme Drought
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- 批准号:
1833505 - 财政年份:2018
- 资助金额:
$ 43.55万 - 项目类别:
Standard Grant
Digitization TCN: Collaborative Research: Lepidoptera of North America Network: Documenting Diversity in the Largest Clade of Herbivores
数字化 TCN:合作研究:北美鳞翅目网络:记录最大食草动物分支的多样性
- 批准号:
1602081 - 财政年份:2016
- 资助金额:
$ 43.55万 - 项目类别:
Continuing Grant
Digitization TCN: Collaborative Research: Southwest Collections of Arthropods Network (SCAN): A Model for Collections Digitization to Promote Taxonomic and Ecological Research
数字化 TCN:合作研究:西南节肢动物馆藏网络 (SCAN):馆藏数字化促进分类学和生态学研究的模型
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1207371 - 财政年份:2012
- 资助金额:
$ 43.55万 - 项目类别:
Standard Grant
CI-TEAM Implementation Project: Collaborative Research: Advancing Cyberinfrastructure-based Science through Education, Training, and Mentoring of Science Communities
CI-TEAM 实施项目:协作研究:通过科学界的教育、培训和指导推进基于网络基础设施的科学
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0753163 - 财政年份:2008
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$ 43.55万 - 项目类别:
Standard Grant
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0443526 - 财政年份:2005
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$ 43.55万 - 项目类别:
Continuing Grant
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7905328 - 财政年份:1979
- 资助金额:
$ 43.55万 - 项目类别:
Standard Grant
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