Research on the Construction and Application of the Evaluation System of Talents in Scientific Research in Big Data Environment—Taking Post-doctors as an Example
Download as PDF
Yuchen Wu, Junwen Feng
In the “Thirteenth Five-year Plan”, the talent power strategy is placed in the prominent position, talents in scientific research is the core resource of the talent team, so the evaluation of talents in scientific research becomes the most important of the talent strategy. However, at present, the evaluation standard of talents in scientific research is not clear enough, the evaluation system is not perfect, so this paper chooses the postdoctoral group as the representative of talents in scientific research, according to scientific, purposeful and operability of the principles of building scientific research talent evaluation model, And based on Delphi Expert Consultation (Delphi) and entropy method to design the evaluation index system of talents in scientific research, has a high research value and research significance. The evaluation index system includes 5 dimensions, such as scientific research management, basic quality, scientific research contribution, scientific research potentiality and academic status. Finally, the evaluation system of talents in scientific research is used to evaluate the post-doctors, and the evaluation results are analyzed to provide practical experience for the comprehensive development and implementation of the evaluation work of talents in scientific research.
Big Data, Talents in Scientific Research, Evaluation Index System, Post-doctors