Research on Data Standardization of Technology Readiness Evaluation and Database Construction Methods
Technology maturity evaluation has been applied more and more deeply in the management of science and technology projects.However,the current evaluation work relies on manual review and analysis of a large amount of e-valuation information,and lacks standardized processing and storage of evaluation data.As a result,the evaluation efficiency is low,and it is difficult to develop relevant machine learning-assisted evaluation models.Based on the o-riginal data of project technology maturity evaluation,data content commonality analysis is carried out,a data pro-cessing method based on the Vision Transformer framework is proposed,and a new data structure is designed,thus,the standardization of technology maturity evaluation data and the construction of standardized database are re-alized.Finally,the authenticity of the database is verified by Fleiss-Kappa score.This method can optimize the data storage mode,improve the data quality,and form the data basis of the machine learning model.
data standardizationthe construction of databasedeep learningtechnology readiness evaluation
万方数据
维普
