| 徐 波 许东惠 王呈珊.野外观测数据质量评价指标体系构建及权重研究[J].中国科技资源导刊,2025,(6):40~47 |
| 野外观测数据质量评价指标体系构建及权重研究 |
| Construction and Weight Determination of a Quality Evaluation Index System for Field Observation Data |
| 投稿时间：2025-11-06 |
| DOI： |
| 中文关键词: 野外观测数据;质量评价指标体系;层次分析法;皮尔逊相关系数 |
| 英文关键词: field observation data, quality evaluation index system, analytic hierarchy process, Pearson correlation coefficient |
| 基金项目: |
| 作者 | 单位 | | 徐 波 许东惠 王呈珊 | (国家科技基础条件平台中心，北京 100862) |
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| 摘要点击次数: 70 |
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| 中文摘要: |
| 野外观测数据作为获取一手客观、真实、记录的重要渠道，其质量直接影响科学研究与决策的准确性与可靠性。为提升数据管理效率与质量管控水平，构建一套系统的野外观测数据质量评价指标体系，并综合运用层次分析法(AHP)和皮尔逊相关系数法科学确定各指标权重。研究发现，对于所构建的指标体系，其一级指标中的“数据合规情况”权重最高，其二级指标中的“数据真实性”“时间覆盖指数”与“属性完整性”贡献最为显著，凸显了数据溯源能力、时间完整性与属性完备性在动态观测中的核心地位。研究结果不仅为野外观测数据的质量评估提供了理论依据与方法支持，也为相关领域的数据治理与实践应用提供参考。未来的研究将进一步拓展该指标体系的适用性，以适应多样化的领域需求与数据类型。 |
| 英文摘要: |
| Field observation data provides a critical foundation for environmental monitoring and climate change research, with its quality directly determining the accuracy of scientific conclusions and policy decisions. To enhance the efficiency of data management and the level of quality control, this study establishes a systematic quality evaluation framework of field observation data that integrates the Analytic Hierarchy Process and Pearson correlation method to scientifically determine indicator weights. Results demonstrate that “data compliance” carries the highest weight among primary indicators, while “data authenticity, ” “temporal coverage index, ” and “attribute completeness” emerge as the most significant secondary indicators. These findings highlight the fundamental importance of data traceability, temporal integrity, and attribute completeness in dynamic observation systems. The research provides both theoretical foundation and practical methodology for field data quality assessment, while offering valuable insights for data governance across related disciplines. Future work will focus on enhancing the system’s adaptability to accommodate diverse research needs and evolving data types. |
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