Abstract: With the emergence of more and more evaluation indexes, the author tries to explore a set of reference and practical analytical indicators and evaluation measurement models for the practical application of “dual first-class” disciplines, in order to adapt to the rapid changes and the analysis of the growing demand. This articles focuses on life science/medicine and other related disciplines as the main research object, adopts a combination of normalized output or influence index portfolio model, relies on multiple quantitative evaluation indexes such as ESI, NI and π index, and integrates with deeper “dark data” visual information processing and coupling research. From different dimensions and perspectives, the author aims to build a multi-dimensional index model to provide innovative service and build response mechanisms for multi-disciplinary cross-discipline, examine the feasibility and rationality of the joint application of multi-dimensional indicators, summarize the development characteristics and core competitiveness, and try to improve visualized comprehensive intelligence analysis of the “dark data” and its complementary advantages during the development of the “double first-class” discipline. In the past, the influence factor was almost the only evaluation index of impact factor, but now the research institutes are all transitioning from the level of academic journals to the finer level of research paper. The paper tries to build a multidimensional index evaluation system to cross-analyze the effectiveness of discipline development, so as to find innovative analysis indexes and methods that have reference value for the construction of “double first-class” disciplines in practice.

Key words: “Dark Data” visualization, Disciplines of ESI, Nature Index, Productivity Index, Bibliometrics