EAGER: Towards the Web of Biodiversity Knowledge: Understanding Data Connectedness to Improve Identifier Practices

EAGER：迈向生物多样性知识网络：了解数据连通性以改进标识符实践

• 批准号: 1839201
• 负责人: Jose Fortes
• 金额: $ 30万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839201&HistoricalAwards=false
• 关键词: EAGER; Towards; Web; Biodiversity; Knowledge

Biodiversity research investigates the variety and variability of life on Earth. This field of science crosses many research disciplines such as genetics, studies of organisms, plants and animals, habitats and ecosystems, and their interactions. A long-standing challenge for biodiversity researchers is to find, access, "mine", and integrate complex and diverse information from those disciplines. New approaches have now become possible with the increasing availability of "big data" techniques and infrastructure. This project will explore and employ such advanced techniques for retrieval and mining of a wide range of available open biodiversity data sources, with the aim of generating an improved holistic picture or "knowledge graph" of Earth's biodiversity. The project will also identify the data practices and discovered relationships that were needed to accomplish this graph-building task, with the aim of informing the development of future data systems and training on these techniques. Many attempts have been made to link together biodiversity knowledge using linked identifiers coupled with data standards and taxonomies, but satisfactory results with such "exact matching" approaches have been elusive. This project aims to develop new methods of relating records across datasets that do not rely on matching identifiers but instead employ inferred rather than explicit relationships between data records. This is an experimental approach that has not yet been attempted at scale. Linkages between publicly available biodiversity, genetic, literature, and other data will be explored; and software infrastructure will be developed to combine and link multiple biodiversity datasets. Another goal is to quantify the relationship between identifier practices and the ability to construct links between available biodiversity, genetic, literature, and other data. This project will draw on and complement other large ongoing collaborative efforts that contribute to broad integration of biodiversity knowledge, data science, and infrastructure such as the Encyclopedia of Life (EOL) and the NSF-supported iDigBio project. The ultimate aim is to understand which data practices provide the most value to the biodiversity community and thereby inform policy, standards, and training on identifiers. This, in turn, can enable the exploration of new fundamental and cross-disciplinary research questions, and potentially improve practices of a wide range of US and international data aggregators and data producers. This project is supported by the National Science Foundation's Public Access Initiative which is managed by the NSF Office of Advanced Cyberinfrastructure on behalf of the Foundation.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.

生物多样性研究调查地球上生命的多样性和可变性。这一科学领域跨越许多研究学科，如遗传学，生物，植物和动物，栖息地和生态系统的研究，以及它们之间的相互作用。生物多样性研究人员面临的一个长期挑战是寻找、获取、“挖掘”和整合来自这些学科的复杂多样的信息。随着“大数据”技术和基础设施的日益普及，新的方法现已成为可能。该项目将探索和采用这种先进技术，检索和挖掘各种现有的开放生物多样性数据来源，目的是制作一幅更好的地球生物多样性整体图或“知识图”。该项目还将确定完成这一制图任务所需的数据做法和发现的关系，目的是为今后数据系统的开发和这些技术的培训提供信息。已经作出许多尝试，利用关联标识符加上数据标准和分类法，将生物多样性知识联系起来，但这种“精确匹配”办法难以取得令人满意的结果。该项目旨在开发跨数据集关联记录的新方法，这些方法不依赖于匹配的标识符，而是在数据记录之间采用推断而不是明确的关系。这是一种实验性的方法，尚未大规模尝试。 将探索公开可用的生物多样性、遗传、文献和其他数据之间的联系;并将开发软件基础设施来联合收割机和链接多个生物多样性数据集。另一个目标是量化标识符实践与在现有生物多样性、遗传、文献和其他数据之间建立联系的能力之间的关系。该项目将借鉴和补充其他正在进行的大型合作努力，这些努力有助于生物多样性知识，数据科学和基础设施的广泛整合，例如生命百科全书（EOL）和NSF支持的iDigBio项目。最终目的是了解哪些数据实践为生物多样性社区提供了最大的价值，从而为政策，标准和标识符培训提供信息。这反过来又可以探索新的基础和跨学科研究问题，并可能改善美国和国际数据聚合器和数据生产者的实践。该项目由美国国家科学基金会的公共访问计划支持，该计划由美国国家科学基金会高级网络基础设施办公室代表基金会管理。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Tracking Biodiversity Data (Re)use, https://doi.org/10.5281/zenodo.4707908

跟踪生物多样性数据（再）使用，https://doi.org/10.5281/zenodo.4707908

• 发表时间: 2021
• 期刊: 12 April 2021
• 作者: Poelen, J. H

Finding Identification of Keys in the Biodiversity Heritage Library

寻找生物多样性遗产图书馆的钥匙标识

• 发表时间: 2019
• 期刊: Illinois
• 作者: Poelen, Jorrit H.;Schulz, Kayja;Trei, Kelli J.;Rees, Jonathan A
• 通讯作者: Rees, Jonathan A

Reliable Biodiversity Dataset References, https://doi.org/10.17605/OSF.IO/FTZ9B

可靠的生物多样性数据集参考，https://doi.org/10.17605/OSF.IO/FTZ9B

• 发表时间: 2020
• 期刊: iDigBio Communications Luncheon
• 作者: Elliott, M. J.

To connect is to preserve: on frugal data integration and preservation solutions, 10.17605/OSF.IO/A2V8G

连接就是保存：关于节俭的数据集成和保存解决方案，10.17605/OSF.IO/A2V8G

• 发表时间: 2019
• 期刊: Society for Preservation of Natural History Collections (SPNHC
• 作者: Poelen, J. H.

Global Biotic Interactions: Benefits of Pragmatic Reuse of Species Interaction Datasets, 10.17605/OSF.IO/9JT24

全球生物相互作用：物种相互作用数据集务实重用的好处，10.17605/OSF.IO/9JT24

• 发表时间: 2020
• 期刊: Germany on 9 January 2020
• 作者: Poelen, J. H.