Managing heterogeneous ecological data using Morpho
Managing heterogeneous ecological data using Morpho
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使用 Morpho 管理异构生态数据
DOI：
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发表时间：
2002
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通讯作者：
Matthew B. Jones
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作者：
Daniel Higgins Metacat;Chad Berkley;Matthew B. Jones
生态和环境数据涵盖广泛的主题，从生物多样性调查到微量气体通量的测量，并且使用多种模式进行建模。我们开发了Morpho，一个数据管理应用程序，旨在帮助研究人员管理这种异构的生态数据收集。我们开发Morpho的目标是减轻科学家的数据管理负担，同时改善生态数据的获取和记录。Morpho允许生态研究人员使用全面灵活的元数据规范来描述他们的数据，并通过生物复杂性知识网络（KNB）公开或向特定合作者共享他们的数据。Morpho的主要功能包括：（1）使用XML语法进行元数据交换，灵活地创建和编辑元数据;（2）用于收集元数据的“向导”界面;（3）在导入数据时自动提取元数据;（4）可使用多个XML DTD进行配置的XML编辑器;（5）符合生态元数据语言;（6）在网络或本地进行强大的元数据搜索;（7）对数据和元数据进行全面的修订控制。
Ecological and environmental data cover a wide range of topics, from biodiversity surveys to measurements of trace gas fluxes, and are modeled using a tremendous variety of schemas. We have developed Morpho, a data management application designed to assist researchers in managing this heterogeneous collection of ecological data. Our goal in developing Morpho was to ease the burden of data management on scientists while improving access to and documentation for ecological data. Morpho allows ecological researchers to describe their data using a comprehensive and flexible metadata specification, and to share their data publicly or to specific collaborators over the Knowledge Network for Biocomplexity (KNB). Morpho's main features include: (1) flexible metadata creation and editing using an XML syntax for metadata exchange; (2) a 'wizard' interface for collecting metadata; (3) automated metadata extraction while importing data; (4) an XML editor that is configurable using multiple XML DTDs; (5) compliance with the Ecological Metadata Language; (6) powerful metadata search on the network or locally; and, (7) comprehensive revision control for data and metadata.