基于相对标杆的科研质量评价

Quality Evaluation of Scientific Research Based on Relative Benchmarking

摘要:

遴选和学习适合的相对科研标杆，有利于研究机构弥补因现行定量科研评价引发的负面效应。借鉴标杆管理、质量评价、数据包络分析法，从效率与质量视角，构建了一套基于相对标杆的科研质量评价体系（评价目标、准则、思路与方法）。以中国大陆31所典型985高校为对象，在科研效率评价的基础上，诊断和分析某高校的科研质量问题，遴选了可供学习的相对科研标杆，给出了科研质量提升建议。研究发现：学习相对标杆，有利于克服了传统标杆管理的局限性；基于相对标杆的科研质量评价方法，为高校有效识别和改进科研质量问题提供了有益启示。

Abstract:

The selection and learning of suitable relative scientific research benchmarking is beneficial for research institutions to compensate for the negative effects caused by the current quantitative scientific research evaluation. This research takes a page from benchmarking， quality evaluation， and data envelopment analysis method and constructs a relatively benchmark-based scientific research quality evaluation system from the perspective of efficiency and quality， which includes evaluation objectives， criteria， ideas， and methods. This research takes 31 typical 985 universities in mainland China as the target， and diagnoses and analyzes the scientific research quality problems of a university on the base of the evaluation of research efficiency. In addition， the paper selects relative scientific research benchmarks for learning， and gives suggestions for improving scientific research quality. This study found that： learning relative benchmarking is helpful to overcome the limitations of traditional benchmarking management； the research quality evaluation method based on relative benchmarking provides useful insights for universities to effectively identify and improve research quality issues.