关键词: 实验规程, 数据化, 数据驱动知识发现, 智能实验平台, 理实交融

Abstract: This study explores the trends in research and construction of experimental protocol datafication, aligning with the current needs of experimental protocols in scientific research. It redefines experimental protocols and clearly provides a clear conceptualization of their datafication. On this basis, the study conducts a comprehensive analysis of the national distribution, key research questions, and the leading institutions and researchers involved in 103 pieces of literature related to the experimental protocol datafication. The key research problem, focusing on the development of datasets (including corpora) with comprehensive integration and the characteristics of linking the upper and lower levels was selected for detailed analysis and analyzed. This involves categorizing and organizing the information into three types: scientific and technological literature database, computable data set and text annotation corpus. Building on this trend analysis, this study discusses the theoretical and methodological advantages that information resource management and knowledge service institutions can bring to four key research issues in experimental protocol datafication. It emphasizes their role in promoting the integration of theory and experiment and data-driven knowledge discovery.

Key words: Experimental protocols, Datafication, Data-driven knowledge discovery, Intelligent experimental platform, Theory and experiment integration