| 政府开放数据应用分析模型构建研究 |
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| 引用本文： | 孙璐,李广建.政府开放数据应用分析模型构建研究[J].图书情报工作,2017,61(3):97-108. |
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| 作者姓名： | 孙璐 李广建 |
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| 作者单位： | 北京大学信息管理系 北京 100871 |
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| 基金项目： | 本文系国家社会科学基金重点项目"大数据环境下的计算型情报分析方法与技术研究"（项目编号：2014ATQ005）研究成果之一。 |
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| 摘 要： | 目的/意义]目前我国政府开放数据面临数据开放规模小、应用价值难以体现等应用管理问题。只有集中解决开放什么样的数据,能产生什么样的价值的核心驱动力,才能有效破解数据资源在各委办局中条块分割,开放意愿不足的根本问题。本文的研究目标旨在构建政府开放数据的应用分析模型。方法/过程]本研究将政府开放数据集、政府开放数据应用案例以及其复杂的处理逻辑,解耦在资源域与模型域,形成模型4个维度上的"要素点"以及模型各维度间的映射关系（"结构线"）,将这些"点"和"线"组成模型行为表;并通过一个可连动收割的数学模型构建模型动态发现机制。结果/结论]最终构建政府开放数据应用分析模型,并归纳模型在应用中主要的应用场景类型,以及由应用场景组成的应用路径结构,解决模型在具体应用场景下的应用实现问题。
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| 关 键 词： | 政府开放数据 开放政府数据 政府数据再利用 政府开放数据价值 应用模型 价值增值模型 |
| 收稿时间： | 2016-10-07 |
The Research Based on OGD Application Analysis Model |
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| Sun Lu,Li Guangjian.The Research Based on OGD Application Analysis Model[J].Library and Information Service,2017,61(3):97-108. |
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| Authors: | Sun Lu Li Guangjian |
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| Institution: | Peking University Department of information management, Beijing 100871 |
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| Abstract: | Purpose/significance] Upon comprehensive study and comparative analysis of the OGD application status at home and abroad, China needs to solve centrally the core driving force issues at the micro level, such as what types of data to open, and what values to generate, which is essential to further solving the fundamental issues, effectively breaking down the barriers of data resources among commissions, offices and bureaus, and solving the problem of lack of willingness to open. In this paper, the OGD application mode is taken as the research object.Method/process] In the paper, open government data sets, open government data application cases and its complex processing logic are decoupled in the model and resource domain, forming four dimensions in the model ("factors") and model of each dimension between the mapping relationships ("lines"). These "points" and "lines" compose behavior model table, and realize linkage model dynamic harvesting mechanism through mathematical model.Result/conclusion] Finally, a kind of multiple dimensions model based on open government data perceived discovery is constructed. At the same time, we research the problems on application path of the model under different scenarios, and find the task spiraling progressive laws through research; search out the input and output data sets characteristic of each progressive stage; and derive the inherent analysis methods set in each progressive stage. From this perspective, the problem of model application is solved. |
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| Keywords: | government open data open government data government data reuse government open data value application model value-added model |
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