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

西南节肢动物馆藏网络（Southwest Collections of Arthropods Network， SCAN）：馆藏数字化促进分类学和生态学研究的模式西南节肢动物馆藏网络（Southwest Collections of Arthropods Network， SCAN）汇集了西南地区大学和博物馆的10个不同种类的节肢动物馆藏，构建了一个对时空环境变化具有显著响应的地栖节肢动物虚拟网络。这10个藏品记录了西南地区的大部分生物多样性，但目前与数百万节肢动物标本相关的数据还不容易获得。为了克服这个问题，SCAN将开发整合现有数据库的方法，编目图像标本，开发新的电子识别技术，并建立一个地面生活节肢动物（甲虫、蚱蜢、蜘蛛、蚂蚁）的虚拟图书馆。此外，该项目将与现有的Filtered Push项目合作，以增加专家提供远程识别和数据注释的能力，这些数据可以在整个网络中发送。全面的SCAN在线图书馆和专家信息将提供给公众以及分类学、生态学和气候变化科学方面的专业人士。较小的机构将获得更多的大型数据集，以促进研究。SCAN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单个节肢动物物种的影响。通过增加对这些信息的获取，SCAN将刺激新的研究并提高整个地区对生物多样性保护的认识。50多名本科生也将接受网络基础设施、系统学和生态学方面的培训。该奖项是国家生物馆藏数字化资源的一部分，通过推进生物馆藏数字化计划，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.