Map based discovery of hydrologic data in the HydroShare collaboration environment
Map based discovery of hydrologic data in the HydroShare collaboration environment
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DOI：
10.1016/j.envsoft.2018.09.014
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
Zhaokun Xue-;A. Couch;D. Tarboton
中科院分区：
文献类型：
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作者：
Zhaokun Xue-;A. Couch;D. Tarboton
数据发现指的是为新的研究寻找已有数据的过程。在水科学的HydroShare协作环境中，可以发现的数据有二十多种，包括全球特定站点的数据，全球对应区域的数据，以及没有地理空间意义的数据，如实验室实验结果。本文讨论了为HydroShare构建数据发现系统的经验教训。这是一个非常困难的问题；软件组件的默认行为是不可接受的，用例建议了冲突的方法，并且制作大量候选资源的地理视图受到web浏览器、现有软件功能、人类感知和软件性能所施加的限制。最终的软件是用户需求、软件功能和性能需求的复杂融合。
Data discovery refers to the process of locating pre-existing data for use in new research. In the HydroShare collaboration environment for water science, there are more than twenty kinds of data that can be discovered, including data from specific sites on the globe, data corresponding to regions on the globe, and data with no geospatial meaning, such as laboratory experiment results. This paper discusses lessons learned in building a data discovery system for HydroShare. This was a surprisingly difficult problem; default behaviors of software components were unacceptable, use cases suggested conflicting approaches, and crafting a geographic view of a large number of candidate resources was subject to the limits imposed by web browsers, existing software capabilities, human perception, and software performance. The resulting software was a complex melding of user needs, software capabilities, and performance requirements.