| China Geological Survey Chinese Academy of Geological Sciences | Host |
| 科学出版社 | Publish |
| Citation: |
GAO Xuezheng, LI Chenyang, WU Xuan, KONG Zhaoyu, QI Fanyu, SHANG Yuntao, JIA Liqiong, LI Xiaolei, GUO Hui. 2018. The Dataset of User's Accessing Log to Digital Geological Library of National Geological Archives of China[J]. Geology in China, 45(S1): 107-114. doi: 10.12029/gc2018Z109
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The Dataset of User's Accessing Log to Digital Geological Library of National Geological Archives of China
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Abstract
In order to accurately find out the needs of users of geologic data and eliminate the information gap between data users and data managers, the National Geological Archives of China (NGAC) has conducted the data collection of user's accessing logs to the master station of the Digital Geological Library of NGAC. The automatic recording method is applied to register the user's location, their searching keywords, IP address and other related information for constructing the accessing log dataset. In order to make better use of these accessing data, a standardized processing method and quality control system are adopted. The dataset provides the accessing records to the Digital Geological Library of NGAC's master station from the year 2014 to 2017, which realistically reflects user's behaving habits while obtaining geological data. It also provides a sound basis for the further constructions of geological data service website, the development and utilization of geological data, and the geological data management and services.
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Keywords:
- Digital Geological Library /
- website /
- user's accessing log
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References
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GAO Xuezheng, LI Chenyang, WU Xuan, KONG Zhaoyu, QI Fanyu, SHANG Yuntao, JIA Liqiong, LI Xiaolei, GUO Hui. 2018. The Dataset of User's Accessing Log to Digital Geological Library of National Geological Archives of China[J]. Geology in China, 45(S1): 107-114. doi: 10.12029/gc2018Z109
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Figure 1.
Shows Digital Geological Library of NGAC service model and data acquisition process
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Figure 2.
Domestic accessing user's geographical locations
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Figure 3.
Foreign accessing user's geographical locations
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Figure 4.
User's retrieving keywords statistics