A method for the evaluation of scientific and technological projects based on big data

Abstract

The present invention proposes a method for project approval evaluation of scientific and technological projects based on big data, including the following steps: obtaining project application data; processing the latest development direction and hot spots of project-related technologies and comparing them with the project application data to obtain the first result; The policy support direction and the local government's industrial development direction information are processed and compared with the project application data to obtain the second result; the field industry inspection feedback and suggestions of the competent department and the comprehensive strength information are processed to output the third result; the similar technology projects approved by the competent department over the years, The fourth result is obtained by comparing the construction status and results of the approved projects over the years with the project application data; the evaluation and recommendation report of the project approval application is obtained based on the first result, the second result, the third result, the fourth result and their weights. The implementation of the big data-based method for evaluating scientific and technological projects of the present invention has the following beneficial effects: the quality and level of scientific and technological project evaluation are higher, and the evaluation results are more objective and comprehensive.

Description

technical field [0001] The invention relates to the field of project evaluation, in particular to a method for project establishment evaluation of scientific and technological projects based on big data. Background technique [0002] Science and technology project information has the characteristics of big data such as unstructured data types and huge data volume. The data source is often cross-regional data accumulated over the years, and the processing time of ordinary machines and algorithms is relatively long. The current scientific and technological project evaluation adopts the expert scoring model. The main contents of the evaluation include: evaluating the necessity and feasibility of project approval; evaluating the project's domestic and foreign development status, technical situation and research level as indicators; evaluating the project research and development content, Evaluate the technical process route and implementation plan; evaluate the ability of the pr...

AI Technical Summary

Problems solved by technology

Due to the complexity of big data in the information of scientific and technological projects, as well as the different understandings of experts, deviations in knowledge fields, and certain subjective consciousness, and the application procedures are also complicated and the application conditions are ambiguous, so the evaluation of project approval depends only on experts. The conclusions drawn from the scoring are often based on insufficient scientific basis, and it is difficult to form a consensus on project selection

In this way, there will be some arbitrariness, blindness and one-sidedness in the expert review, resulting in the low quality and level of scientific and technological project evaluation, and the imperfect expert review mechanism of scientific and technological projects

The comprehensiveness and credibility of expert item scoring needs to be further strengthened

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