[Purpose/significance]The characteristics of academic journals have important value, and current evaluation systems lack assesment for this dimension. [Method/process]This paper proposes a variable weight method for factor reduction data, firstly uses factor analysis combined with manual classification to determine the characteristics of the journal, and uses Sigmoid function to standardize the public factors to determine the characteristic journals, and then uses the variable weight function to modify the original data for the characteristic indicators of the characteristic journals based on the data of forestry journals in CNKI. Three representative methods including linear weighted aggregation, weighted TOPSIS, and factor analysis, are used for conducting empirical research. [Result/conclusion]The characteristic evaluation of academic journals must be paid enough attention. The variable weight of factor reduction data provides a new idea from the perspective of basic data. The data variable weight linear weighting summary evaluation value has been reduced. The data variable weight TOPSIS evaluation value has been reduced. The explanatory power of factor analysis is improved after the data is weighted.

[Purpose/significance]Ensuring the data security of the public data opening platform is a prerequisite for releasing the value of data elements. Exploring the influencing factors of its data security guarantee level can provide a reference for the security governance of public data opening. [Method/process]Combining information ecology theory, and using NCA and fsQCA methods, this study takes 28 provincial government data open platforms as research objects for empirical analysis to reveal the key influencing factors and configuration paths of the data security assurance level of public data open platforms. [Result/conclusion]The findings indicate that seven antecedent variables influence the date security assurance level of public date open platforms. There are three configuration paths to enhance the level of data security guarantee. They are the subject and object-driven type under the dominance of technology, the government, data resource and economic level-driven type under the dominance of technology, and the multi-element collaborative-driven type under the dominance of technology.

[Purpose/significance]Under the context of New Liberal Arts construction, the resolution of many major scientific and technological issues requires transcending traditional disciplinary boundaries. By identifying and integrating interdisciplinary knowledge, it becomes possible to grasp the direction of disciplinary development and predict emerging innovative trends. [Method/process]This study takes the full-text information of articles from six academic journals in China's library and information science (LIS) from 2017 to 2021 as its research object. Drawing on the kinetic energy theory from physics, it constructs a kinetic energy model for interdisciplinary knowledge integration from the dual dimensions of quoting scholars driving force and disciplinary attraction, and conducts empirical research.[Result/conclusion]The results indicate that the disciplinary gravitation coefficient can effectively quantify the gravitational effect of a disciplinary knowledge system on interdisciplinary knowledge, helping to characterize the expansion effect of the peripheral boundaries of the disciplinary knowledge system from the perspective of kinetic energy. The study also reveals that the development of library and information science exhibits significant technology-driven and social management-oriented characteristics. In terms of knowledge categories, the expansion of the library and information science knowledge system is primarily driven by thematic concepts and technological methods, while theoretical models are consistently sourced from sociology, management, and computer science. Indicator tools, however, face certain limitations due to their disciplinary attributes and adaptability factors.

[Purpose/significance]Finland is at the forefront of open science worldwide. Studying Finland's open science policies is of reference significance for promoting the formulation and implementation of open science policies in China. [Method/process]The article employs the qualitative analysis software Nvivo 12 Plus and the grounded theory approach to conduct a textual analysis of Finnish primary open science policies.Through a three-level coding analysis, the content of Finnish open data policy, open access policy, open education policy, open infrastructure policy, citizen science policy, open science evaluation policy, and open science regulatory policy are analyzed. [Result/conclusion]Finnish open science policy is characterized by strong support at the national strategic level, continuous strengthening of the scientific research integrity mechanism, ongoing development and refinement of evaluation and monitoring systems, and deep participation in international cooperation. China can draw on Finnish experience to carry out top-level design for open science, improve the monitoring and evaluation system for open science, optimize policies on research integrity, deepen international cooperation, and perfect the open science policy system to promote its high-quality development.

[Purpose/significance]National defense science and technology intelligence serves as a powerful guarantee for promoting national defense science and techndogy innovation and development. Exploring optimization paths for defense science and technology intelligence service systems holds practical significance in developing new quality combat capabilities and safeguarding national security and stability.[Method/process] Through literature review and summarization, this study clarifies the impact of complex information environments on intelligent defense science and technology intelligence services, as well as the core tasks of intelligent intelligence services. Based on activity theory, the study deconstructs system elements and employs systems engineering principles to construct an intelligent defense science and technology intelligence service system within complex information environments. [Result/conclusion]The study identifies the system's constituent elements from three aspects: service subjects, service objects and service tools. Building on this foundation, it establishes an intelligent defense science and technology intelligence service system composed of demand comprehension layer, data mining layer, comprehensive analysis layer and service feedback layer. The construction of this system facilitates the transformation of defense science and technology intelligence services toward systematization and intelligence, providing theoretical guidance for the advancement of defense science and technology intelligence.