Subjects: Management Science >> Science ology and Management submitted time 2023-08-23 Cooperative journals: 《中国科学院院刊》
Abstract： The generative large model GPT represented by ChatGPT is developing rapidly, which has aroused extensive discussion in academic circle and the industry and has an incalculable impact on foundational scientific research development. The study first sorts out the development of the GPT technological revolution, and discusses the new changes brought about by this technology in scientific research. Then, based on the three aspects of application status, core principles and innovation subjects, the impact of the GPT technological revolution on basic scientific research and its development suggestions for China are discussed. The study believes that GPT technology can certainly play a positive role in knowledge production, improve scientific research efficiency, and even promote scientific research paradigm changes, but it may also cause scientific research misconduct, weaken research credibility, and amplify the inherent bias of the Internet and other issues. Therefore, the study discusses how to develop Chinese foundational scientific research based on GPT technology. On the one hand, investing in the research and development of data and computing platforms that are independently controllable by the country and protected by intellectual property rights. On the other hand, emphasizing humancomputer collaboration and scientific research integrity supervision to create an open and transparent environment for Al development. In short, this study aims to provide policymakers and front-line researchers with an understanding perspective on the impact of GPT technology on fundamental science, promote the rational use of GPT technology, and provide a reference for the healthy development of the future academic ecology.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-06-12
Abstract： Objective Systematically sort out and summarize the operation process of scientific research data in the scientific research process under the trend of Intelligent Scientific Research, mine the potential scientific research data demand, and provide thinking for the transformation and development of scientific research data services under the new trend.
Methods Under the guidance of the theory of scientific research data life cycle, taking the field of materials and chemistry as an example, this paper analyzes how scientific research data can be transformed into knowledge in the intelligent research of scientific research, and constructs six stages of scientific research data life cycle operation process, including data management plan, data generation and collection, data processing and analysis, data generation and publication, data storage and sharing, and data reuse, so as to explore the role and potential needs of scientific research data.
Results The research on intelligent scientific research demonstrates the exploration of multi-source heterogeneous data integration, fine-grained data structuring, human-machine interaction language representation, data association mining, and the enrichment of scientific research data types.
Conclusions It is recommended to strengthen the construction of high-quality and comprehensive data networks in the field of scientific research data services in the future, deepen embedded scientific research data services, enhance the knowledge and artificial intelligence literacy of librarians in the field, attach importance to the mining of experimental information in textual data, and pay attention to the exploration of human-machine interaction language.
Peer Review Status:
Awaiting Review
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