Collaborative Research: Digitization TCN: InvertNet--An Integrative Platform for Research on Environmental Change, Species Discovery and Identification

合作研究：数字化TCN：InvertNet——环境变化、物种发现和识别研究的综合平台

• 批准号: 1114881
• 负责人: Paul Johnson
• 金额: $ 16.66万
• 依托单位: South Dakota State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1114881&HistoricalAwards=false
• 关键词: Collaborative; Research; Digitization; TCN; InvertNet

This project will create InvertNet, an on-line virtual museum comprising 50 million insect and related arthropod specimens housed at 22 Midwestern institutions, focusing on the research theme of effects of land use changes on the biota of the Great Lakes and upper Mississippi River drainage basins. These collections document 160 years of environmental change and are an invaluable and irreplaceable resource but, at present, are largely inaccessible to scientists and the general public. Most previous efforts to capture and disseminate invertebrate collection data have focused on label data alone. InvertNet will use advanced digitization and networking technologies to capture and display 2D and 3D images of specimens and labels, and incorporate them into a searchable database. These new techniques should reduce the cost of digitizing insect specimens substantially.By allowing users to find and view detailed images of specimens of particular species and their associated data labels, InvertNet will provide universal access to collections previously restricted to researchers. It will include links to the popular BugGuide.net insect identification website and to other biodiversity data portals used by researchers, educators, and the general public. This will facilitate and support many aspects of biological research and education, including species discovery and identification, pest management, ecology and biogeography. InvertNet will serve as a model, applicable to other kinds of biological collections, for the use of efficient, computer-assisted procedures to increase the speed and accuracy of collection data capture. This award is made as part of the National Resource for Digitization of Biological Collections through the Advancing Digitization of Biological Collections program and all data resulting from this award will be available through the national resource.

该项目将创建Invertnet，这是一个在线虚拟博物馆，其中包括5,000万昆虫和相关的节肢动物标本，该博物馆位于22个中西部机构，重点介绍了土地利用变化对大湖和上密西西比河河流流域的影响的研究主题。 这些藏品证明了160年的环境变化，是一种无价和不可替代的资源，但目前，科学家和公众在很大程度上无法访问。 以前的大多数捕获和传播无脊椎动物收集数据的努力仅集中在标签数据上。 Intervernet将使用高级数字化和网络技术来捕获和显示标本和标签的2D和3D图像，并将其整合到可搜索的数据库中。这些新技术应大大降低数字化昆虫标本的成本。通过允许用户查找和查看特定物种标本及其相关数据标签的详细图像，InvertNet将为您提供对先前局限于研究人员的收藏的普遍访问。 它将包括指向流行的bugguide.net昆虫识别网站以及研究人员，教育工作者和公众使用的其他生物多样性数据门户的链接。 这将促进和支持生物学研究和教育的许多方面，包括物种发现和识别，害虫管理，生态和生物地理学。 Intervernet将作为一个适用于其他类型的生物收集的模型，用于使用高效，计算机辅助的程序来提高收集数据捕获的速度和准确性。该奖项是通过生物收藏计划的数字化数字化将生物收集数字化的国家资源的一部分，该奖项产生的所有数据将通过国家资源获得。