Digital Transformation Pathways for the Scientific Research Service System

In order to promote the transformation of the scientific research service system and optimize resource allocation, a large amount of information, ETL integration, and automatic analysis have been adopted. The results indicate that digital models can accelerate research speed, increase technical challenge speed by 85%, increase market transaction volume by 7.5% -9%, and improve resource utilization by 15%. This makes it possible to coordinate scientific research with market demand and develop science, technology, and industrialization.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1145/3718491.3718515
Primary Topic
Big Data and Business Intelligence
Type
article
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Digital Transformation Pathways for the Scientific Research Service System

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Big Data and Business Intelligence
article

Digital Transformation Pathways for the Scientific Research Service System

Ming Sun, Dong Zhang, Yixin Zhu, Xiaoxin Gao, Y. Mu, Yao Lu
article en

Abstract

In order to promote the transformation of the scientific research service system and optimize resource allocation, a large amount of information, ETL integration, and automatic analysis have been adopted. The results indicate that digital models can accelerate research speed, increase technical challenge speed by 85%, increase market transaction volume by 7.5% -9%, and improve resource utilization by 15%. This makes it possible to coordinate scientific research with market demand and develop science, technology, and industrialization.

PowerChina (China) (CN)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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