Collaborative Research: Data Integration for Repository Services in Biodiversity Informatics

合作研究：生物多样性信息学存储服务的数据集成

• 批准号: 0851313
• 负责人: Gregory Riccardi
• 金额: $ 48.36万
• 依托单位: Florida State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0851313&HistoricalAwards=false
• 关键词: Collaborative; Research; Data; Integration; Repository

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."Florida State University, University of Texas at Austin and the University of Kansas are collaborating to create a distributed information system that integrates image-based morphological data to improve species and specimen identification. In order to accomplish this, the project combines three existing information resources including; digital image repositories (Morphbank), biological collection management systems (Specify) and ontology management systems (Morphster). The interoperability of these systems will be leveraged to enable the integration of a wide variety of large and small repositories of biological information. The project creates an economic model that leads to long-term stability. The benefit to the biodiversity research community will be the increased ease of collection, organization, management, and sharing of research information and the increased ease of discovering and re-purposing information from other research projects.The project will demonstrate the usefulness of the approach by coordinating the use of the three projects to create a rich example of morphological data, based on specimens and images, which will improve the quality of specimen identifications and provide greater uniformity in the application of terms from ontologies. The project team will illustrate a character state data matrix for the 520 southeastern US species of legumes using specimen metadata in Specify and images in Morphbank. The legacy character and state descriptions will be incorporated into Morphster ontologies and tied to image annotations in Morphbank. These annotations will be available to users of all three systems, so that researchers will be able to find specimens for their research needs. The images and annotations found in Morphbank (http://www.morphbank.net), the specimen data in Specify (http://specifysoftware.org), and the ontology browsing capabilities of Morphster (http://morphster.org) provide valuable resources for educators and tools for communication between the scientific community and the public. This project will foster and augment these inherent strengths in collaboration with the Brogan Museum of Arts and Sciences (Tallahassee, FL). The combined systems will be valuable tools for those interested in identifying unknown organisms, including species that are potentially toxic, invasive, endangered, or sensitive environmental indicators.

“该奖项是根据 2009 年美国复苏和再投资法案（公法 111-5）提供资金的。”佛罗里达州立大学、德克萨斯大学奥斯汀分校和堪萨斯大学正在合作创建一个分布式信息系统，该系统集成了基于图像的形态数据，以改进物种和标本识别。 为了实现这一目标，该项目结合了三个现有的信息资源，包括：数字图像存储库（Morphbank）、生物采集管理系统（Specify）和本体管理系统（Morphster）。将利用这些系统的互操作性来实现各种大大小小的生物信息存储库的集成。该项目创建了一种可实现长期稳定的经济模式。对生物多样性研究界的好处将是更容易收集、组织、管理和共享研究信息，以及更容易发现和重新利用其他研究项目的信息。该项目将通过协调三个项目的使用来展示该方法的有用性，以基于标本和图像创建丰富的形态数据示例，这将提高标本识别的质量，并在应用术语时提供更大的一致性。 本体论。项目团队将使用指定中的样本元数据和 Morphbank 中的图像来说明美国东南部 520 种豆类的特征状态数据矩阵。遗留的字符和状态描述将被合并到 Morphster 本体中，并与 Morphbank 中的图像注释相关联。所有三个系统的用户都可以使用这些注释，以便研究人员能够找到满足其研究需求的样本。 Morphbank (http://www.morphbank.net) 中的图像和注释、Specify (http://specifysoftware.org) 中的样本数据以及 Morphster (http://morphster.org) 的本体浏览功能为教育工作者提供了宝贵的资源，并为科学界和公众之间的交流提供了工具。该项目将与布罗根艺术与科学博物馆（佛罗里达州塔拉哈西）合作，培养和增强这些固有优势。对于那些有兴趣识别未知生物体（包括潜在有毒、入侵、濒危或敏感环境指标的物种）的人来说，组合系统将成为有价值的工具。