Site-based data curation based on hot spring geobiology.
Site-based data curation based on hot spring geobiology.
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DOI：
10.1371/journal.pone.0172090
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Fouke BW
中科院分区：
文献类型：
--
作者：
Palmer CL;Thomer AK;Baker KS;Wickett KM;Hendrix CL;Rodman A;Sigler S;Fouke BW
基于站点的数据保护(SBDC)是一种管理研究数据的方法，它优先共享和重用在具有科学意义的站点收集的数据。SBDC框架基于黄石国家公园天然温泉遗址的地球生物学研究，是当代跨学科地球系统科学中高价值现场数据的典范。通过利益相关者分析和对数据人工制品的调查，我们确定有意义和有效地重用数字温泉数据需要系统地记录采样过程和关于数据收集地点的特定上下文信息。我们提出了一个最小信息框架，用于记录关于采样位置的必要的元数据，包括与流出系统不同的锚点测量和温泉喷口的描述，以及多尺度现场摄影以捕捉关于温泉结构的重要信息。SBDC框架可以作为收集和描述温泉系统现场数据的全球模型，这些数据可以很容易地应用于其他具有科学意义的地点的数据管理。
Site-Based Data Curation (SBDC) is an approach to managing research data that prioritizes sharing and reuse of data collected at scientifically significant sites. The SBDC framework is based on geobiology research at natural hot spring sites in Yellowstone National Park as an exemplar case of high value field data in contemporary, cross-disciplinary earth systems science. Through stakeholder analysis and investigation of data artifacts, we determined that meaningful and valid reuse of digital hot spring data requires systematic documentation of sampling processes and particular contextual information about the site of data collection. We propose a Minimum Information Framework for recording the necessary metadata on sampling locations, with anchor measurements and description of the hot spring vent distinct from the outflow system, and multi-scale field photography to capture vital information about hot spring structures. The SBDC framework can serve as a global model for the collection and description of hot spring systems field data that can be readily adapted for application to the curation of data from other kinds scientifically significant sites.