Digitization TCN: Collaborative Research: Southwest Collections of Arthropods Network (SCAN): A Model for Collections Digitization to Promote Taxonomic and Ecological Research

合作研究数字化TCN：西南节肢动物收藏网络(SCAN)：促进分类学和生态研究的收藏数字化的典范西南节肢动物收藏网络(SCAN)汇集了西南地区大学和博物馆的10种不同的节肢动物收藏，创建了一个虚拟的地面栖息节肢动物网络，这些节肢动物对时间和空间环境变化有显著的反应。这10个收藏记录了西南部的大部分生物多样性，但目前与数百万个节肢动物标本相关的数据并不容易获取。为了克服这一问题，SCAN将开发整合现有数据库、目录图像标本的方法，开发新的电子识别技术，并创建一个地面节肢动物(甲虫、蚱蜢、蜘蛛、蚂蚁)的虚拟图书馆。此外，该项目将与现有的项目过滤推送合作，以增加专家提供远程识别和注释数据的能力，这些数据可以通过网络发送。公众以及分类学、生态学和气候变化科学的专业人员将可以获得全面的在线扫描图书馆和专家信息。将向较小的机构提供更多获取大型数据集的机会，以促进研究。扫描数据集将支持一些正在进行的项目，研究环境和土地利用变化对个别节肢动物物种的影响。通过增加对这一信息的获取，SCAN将在整个地区刺激新的研究和生物多样性保护意识的提高。50多名本科生还将接受网络基础设施、系统学和生态学方面的培训。该奖项是通过推进生物收藏数字化计划作为国家生物收藏数字化资源的一部分颁发的，由该奖项产生的所有数据将通过国家资源iDigBio.org获得。

Collaborative Research Digitization TCN: Southwest Collections of Arthropods Network (SCAN): A Model for Collections Digitization to Promote Taxonomic and Ecological ResearchThe Southwest Collections of Arthropods Network (SCAN) brings together 10 diverse arthropod collections at universities and museums throughout the Southwest to create a virtual network of ground dwelling arthropods which are notably responsive to temporal and spatial environmental changes. These 10 collections document much of the Southwest's biodiversity, but currently the data associated with millions of arthropod specimens are not easily accessible. To overcome this, SCAN will develop methods for integrating existing databases, catalogue-image specimens, develop new electronic identification techniques, and produce a virtual library of ground-dwelling arthropods (beetles, grasshoppers, spiders, ants). In addition the project will work with the existing project Filtered Push to increase the capacity of experts to provide remote identifications and annotations of data that can be sent throughout the network.The comprehensive SCAN online library and expert information will be available to the public as well as professionals in taxonomy, ecology, and climate change science. Smaller institutions will be provided increased access to large data sets for promoting research. The SCAN datasets will support a number of ongoing projects examining the effects of environmental and land-use change on individual arthropod species. By increasing access to this information, SCAN will stimulate new research and increased awareness in biodiversity conservation throughout the region. Over 50 undergraduates also will be trained in cyberinfrastructure, systematics, and ecology. 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, iDigBio.org.