InvertNet: a new paradigm for digital access to invertebrate collections.
InvertNet: a new paradigm for digital access to invertebrate collections.
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DOI：
10.3897/zookeys.209.3571
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发表时间：
2012
期刊：
影响因子：
1.3
通讯作者：
Taylor C
中科院分区：
文献类型：
--
作者：
Dietrich C;Hart J;Raila D;Ravaioli U;Sobh N;Sobh O;Taylor C
InvertNet是美国国家科学基金会生物标本数字化推进项目（ADBC）第一轮资助的三个主题采集网络（TCN）之一，其任务是为分布在美国中西部上的机构的22个节肢动物（主要是昆虫）标本馆中的约6000万份标本提供数字访问。昆虫标本数字化的传统工作流程包括手动将标本标签上的信息输入数据库，并为每个标本贴上唯一的标识符标签。这仍然是主要的范例，尽管最近尝试使用更先进的技术来自动化该过程中的各个步骤。InvertNet旨在开发改进的半自动化，高通量工作流程，用于数字化和提供无脊椎动物收藏品的访问，平衡对速度和成本效益的需求与标本的长期保存和数据采集的准确性。所提出的工作流程建立在用于数字化和提供对多个标本的高质量图像的访问的最新方法的基础上（例如，整抽屉的被钉死的昆虫）。以前的方法的局限性进行了讨论，并提出了可能的解决方案，将先进的成像和3-D重建技术。InvertNet将高效的数字化工作流程与高度稳健的网络基础设施相结合，能够管理大量图像数据和相关元数据，并提供高质量图像，包括通过互联网进行真实的交互式三维重建。
InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation’s Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million specimens housed in 22 arthropod (primarily insect) collections at institutions distributed throughout the upper midwestern USA. The traditional workflow for insect collection digitization involves manually keying information from specimen labels into a database and attaching a unique identifier label to each specimen. This remains the dominant paradigm, despite some recent attempts to automate various steps in the process using more advanced technologies. InvertNet aims to develop improved semi-automated, high-throughput workflows for digitizing and providing access to invertebrate collections that balance the need for speed and cost-effectiveness with long-term preservation of specimens and accuracy of data capture. The proposed workflows build on recent methods for digitizing and providing access to high-quality images of multiple specimens (e.g., entire drawers of pinned insects) simultaneously. Limitations of previous approaches are discussed and possible solutions are proposed that incorporate advanced imaging and 3-D reconstruction technologies. InvertNet couples efficient digitization workflows with a highly robust network infrastructure capable of managing massive amounts of image data and related metadata and delivering high-quality images, including interactive 3-D reconstructions in real time via the Internet.