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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