Preamble

Research on the Current Situation, Challenges, and Countermeasures of Digital-Intelligent Transformation of Literature Resources Construction in Provincial University Libraries—A Case Study of Jiangsu Province

Xu Jie, Zheng Jianming, Ren Zhigang, Huan Nan
(Nanjing Normal University Library, Nanjing 210023; School of Information Management, Nanjing University, Nanjing 210023)

Abstract

[Purpose] The digital-intelligent transformation of university libraries is an essential path for implementing the national digital education transformation strategy and promoting high-quality library services. As a core business function, literature resource construction is constrained by complex internal and external factors, urgently requiring empirical research grounded in data. [Method] This paper systematically analyzes the positive changes and risk challenges brought by digital-intelligent transformation using seven years of data related to literature resource construction in Jiangsu university libraries. [Conclusion] Targeted countermeasures and suggestions are proposed, including strengthening digital-intelligent strategic thinking, optimizing collaborative management frameworks, empowering resource construction scenarios with intelligence, constructing provincial characteristic development models, and cultivating an open and collaborative digital-intelligent ecosystem.

Keywords: University Library; Literature Resource Construction; Digital-Intelligent Transformation of Literature Resource Construction
Classification Number: G25

The "14th Five-Year Plan" period represents a strategic critical juncture for China to advance toward becoming a strong educational, cultural, and technological nation. The Outline for the Construction of a Powerful Education Nation (2024-2035) elevates educational digitalization to a national strategic level, clarifying its core position in promoting educational modernization. The rise of artificial intelligence, superimposed on the process of educational digital transformation, is amplifying the magnitude and intensity of change. As a crucial pillar of the higher education resource guarantee system, university libraries' literature resource construction work is at a key node of digital-intelligent transformation, facing both unprecedented development opportunities and a series of deep-seated risks and challenges. Currently, the digital-intelligent transformation of literature resource construction presents a development trend characterized by multi-agent collaboration, multi-link efficiency enhancement, and multi-level integration. This trend not only empowers provincial university libraries to achieve personalized development based on educational levels, disciplinary characteristics, and scale differences but also gradually ushers in a digital-intelligent ecological collaborative development pattern. Based on seven years of literature resource construction data from Jiangsu university libraries, this paper systematically analyzes the positive changes and potential risks brought by digital-intelligent transformation, and deeply explores how provincial university libraries can break through bottlenecks based on current realities and explore effective paths and innovative strategies for the digital-intelligent transformation of literature resources when responding to era changes.

2 Research Progress and Trends

Against the backdrop of the national educational digitalization strategy, AI strategy, and global library transformation, how the digital-intelligent transformation of literature resource construction in university libraries can precisely meet user needs has become a focus of attention in both academia and industry. Relevant industry research reports both domestically and internationally emphasize the importance and complexity of this transformation. The three versions of the Horizon Report: Library Edition (2014, 2015, and 2017) provided trend analyses for the development of global university and research libraries, proposing concepts such as "the evolving nature of scholarly records," "research data management," and "keeping pace with rapidly changing needs," while emphasizing fundamental trends in literature resource services: valuing composite information resources, close integration with scientific research, and embracing new technologies and applications [1]. The Association of College & Research Libraries (ACRL) released the 2024 Top Trends in Academic Libraries report, identifying "restructuring and reforming collection practices" as a hot topic in the American library community over the past two years [2]. At the end of 2021, the Ministry of Education's Steering Committee for Library and Information Work in Higher Education Institutions issued the Compass Report on the Modernization of University Libraries, which listed literature resource construction as one of eight practical issues requiring breakthroughs within five years for university library modernization [3]. The Compass Report on the Integration of Resources and Services in University Libraries released in 2025 again pointed out that libraries' resource forms, service methods, and user needs have all undergone significant changes, and traditional resource construction and service models can no longer meet digital transformation needs. University libraries must comprehensively promote the modernization of resources and services, striving to integrate into the unified development pattern of education, technology, and talent [4].

Related academic research has conducted theoretical discussions and practical studies on the digital-intelligent transformation of literature resource construction, focusing on elements such as digital resources, data support, management service innovation, future learning centers, and open science, as well as case studies. Zheng Jianming and Qian Peng (2010) [5] proposed that the shift from resources to services is an inevitable stage in the development of domestic university library digital construction, and that university library digital systems need to build a distributed service system implemented by multiple participating libraries. Ke Ping and Zou Jinhui (2019) [6] proposed that in the post-knowledge service era, library transformation consists of four elements: space, resources, services, and management, requiring solutions to both internal and external theoretical issues as well as conceptual, key element, and path issues. Liu Jingyi, Liu Jingyu, and Chu Jingli (2023) [7] proposed that the advanced path for high-quality development of university libraries should adhere to starting from user needs, achieving a shift from resource-driven to service-driven, and then to innovation-led, transforming strategic plans for building service and capability systems into practical actions. Chu Jiewang, Zhu Aiyu, and Zou Qifeng (2024) [8] proposed that university libraries face five major problems in advancing the integration of resources and services: funding gaps, print-to-digital transition, supply-demand mismatch, print collection expansion, and capability-position misalignment, requiring the construction of five major concepts oriented toward strategy, function, users, characteristics, and technology. Zhao Xingsheng and Yao Xiaotong (2025) [9] analyzed the new challenges posed by future learning centers to library literature resource construction, discussing implementation paths from perspectives such as resource types and quantities, technology application, resource discovery, and librarian attitudes and capabilities.

Existing research often approaches the topic from single-library and macro perspectives, offering good practical significance, but empirical research combined with data is relatively scarce. Based on data from the "Jiangsu Provincial University Library Development Statistics and Decision Service System Platform" and the 2023 Jiangsu Higher Education Institution Library Development Report [10], and compared with 2023 Basic Statistical Data Analysis of Chinese University Libraries [11], this paper explores more targeted management and application strategies to provide references for university libraries in other provinces.

3 Current Status of Digital-Intelligent Transformation of Literature Resources in Jiangsu University Libraries

The Jiangsu Provincial University Library and Information Work Committee launched the construction project of the "Jiangsu Provincial University Library Development Statistics and Decision Service System Platform," led and coordinated by Nanjing Normal University Library. The platform has accumulated over 400,000 business data entries across seven years, forming a dynamic database covering all dimensions of university library operations in the province. Data analysis reveals five positive characteristics of the current transformation:

In terms of resource allocation structure, the proportion of digital resource procurement funding continues to rise, with significant increases in resource access volume and utilization efficiency, gradually becoming the core support of the literature guarantee system. In stark contrast, the scale of print resource procurement has decreased year by year, with physical collection circulation and utilization rates showing clear downward trends, reflecting profound changes in resource carrier forms. Regarding service model innovation, universities across the province are actively promoting integrated print and digital resource construction, accelerating the deployment of intelligent service scenarios, and pushing resource management and services toward intelligent and integrated development. In characteristic resource construction, universities are systematically planning and developing self-built characteristic databases based on disciplinary advantages, with both quantity and quality achieving steady growth. Additionally, through the provincial university library consortium procurement mechanism, resources are jointly built and shared, effectively improving procurement efficiency.

3.1 Continuous Rise in Digital Resource Funding and Utilization

Literature resources in Jiangsu university libraries are gradually forming a core support system centered on digital resources. The procurement funding for digital resources in university libraries has increased year by year as a proportion of total literature resource funding, basically aligning with the national university level. Among 121 university libraries that submitted data, electronic resource funding reached 42,963.68 million yuan, accounting for 63.72% of total literature funding (62.3% in 2022), with an average of 3.5507 million yuan per library, a significant increase from the 52.69% digital resource funding proportion in 2017. During the same period, the national university library average for electronic resource funding proportion was 65.8% in 2023 (66.5% in 2022), with an average of 3.842 million yuan per library [10].

[FIGURE:1]: Changes in the proportion of digital and print resource funding in Jiangsu universities from 2017-2023

Digital resource utilization has also increased substantially. Data from the Jiangsu University Library Development Report for 2019-2023 (with detailed statistics beginning in 2019) shows that usage of the most subscribed Chinese and foreign language databases in provincial universities increased significantly. Among the top five Chinese databases by subscription volume, usage increased by 47.58% (see Table 1 [TABLE:1]: Usage of Top Chinese Databases in Jiangsu Province from 2019-2023), while usage of the top five foreign language databases increased by 90.18% (see Table 2 [TABLE:2]: Usage of Top Foreign Language Databases in Jiangsu Province from 2019-2023).

Table 1: Usage of Top Chinese Databases in Jiangsu Province from 2019-2023

Chinese Database Usage (units: times) 2023 vs. 2019 Usage Increase CNKI Series Database (full-text downloads) 80.63% Duxiu Academic Search (full-text downloads) 185.81% Wanfang Knowledge Service Platform (full-text downloads) 8.23% VIP Chinese Journal Service Platform (full-text downloads) 59.51% Chinese Academic Literature Database (full-text downloads) 42.75% Average Increase 47.58%

Table 2: Usage of Top Foreign Language Databases in Jiangsu Province from 2019-2023

Foreign Language Database Usage (units: times) 2023 vs. 2019 Usage Increase Springer SLCC Journals (full-text downloads) 151.65% Clarivate SCIE (search sessions) 94.91% Elsevier SD (full-text downloads) 80.83% American Chemical Society ACS (full-text downloads) 69.44% Science (full-text downloads) 99.32% Average Increase 90.18%

3.2 Continuous Decline in Print Resource Utilization and Procurement

In contrast to the substantial increases in digital resource usage and funding proportion, print resources show a declining trend, with print newspapers and journals decreasing particularly significantly. In 2023, the average annual book circulation per library was 33,700 volumes, a 74.38% decrease from the 2017 average of 131,600 volumes. In 2023, the average print resource funding per library was 1.9359 million yuan, a 47.2% decrease from the 2017 average of 2.8498 million yuan. The annual addition of new print literature shows a downward trend, with new print newspapers and journals declining notably. In 2023, the average number of new books added per library was 40,600 volumes, an 18.56% decrease from 47,900 volumes in 2017. The average number of new newspaper and journal issues added per library in 2023 was 1,090, a 63% decrease from 2,911 issues in 2017.

[FIGURE:2]: Changes in the number of new print books and periodicals added annually in Jiangsu universities from 2017-2023

3.3 Accelerated Deployment of "Smart Library Service Platforms"

Data shows that online service demand in libraries has increased year by year from 2017-2023. To promote integrated print and digital management, Jiangsu university libraries have undertaken comprehensive deployment of "Smart Library Service Platforms." Homepage visits to libraries across the province have continued to rise, particularly noticeable in undergraduate institutions, increasing from an average of 1.2118 million visits per library in 2017 to 1.3982 million visits in 2023. Compared with 2022, nearly 10% more libraries upgraded to "Smart Library Service Platforms" in 2023, with the trend particularly evident in undergraduate institutions. Among the 56 undergraduate-level university libraries in the province, 26 have already upgraded to intelligent platforms. Twenty-three libraries use the "Chaoxing LIBSTAR Smart Library Service Platform" (17 in 2022), and three use the "Huiwen New Generation Smart Library Service Platform." One hundred eight libraries possess intelligent equipment, with 60 having five or more types of devices, accounting for 55.56% of reporting libraries. Intelligent equipment such as augmented reality/virtual reality, inventory robots, and consultation robots have also entered university libraries.

3.4 Significant Increase in Self-Built Characteristic Databases

Self-built characteristic databases are developed by university libraries based on their resource advantages, disciplinary characteristics, and user needs through independent development or cooperative construction. They involve the digital collection, organization, storage, and management of locally distinctive literature resources to provide strong support for teaching and research activities [12]. In 2017, 34 university libraries in Jiangsu built 144 characteristic databases, which had grown to 60 libraries building 247 databases by 2023 (see Table 3 [TABLE:3]). Types include: full-text databases (104), composite databases (40), multimedia databases (35), abstract/index databases (31), thematic and other databases (22), tool databases (12), and numeric/factual databases (3).

Nanjing University built two special collections: the Ancient Books and Special Collections Publishing Platform and the Jiangsu University Precious Ancient Books Resource Database. China University of Mining and Technology Library built nine special collections, including Low-Carbon New Energy, Mining Engineering Digital Library, and Coal Mine Literature and History Database. Jiangnan University Library built five special collections, including Food Science and Engineering, Food Teaching Resources, and Han Ethnic Folk Costume Characteristics, demonstrating the construction capabilities and disciplinary advantages and regional cultural heritage of Jiangsu university libraries.

Table 3: Changes in the Number of Self-Built Databases in Jiangsu from 2017-2023

Year Number of Libraries with Characteristic Databases Total Self-Built Characteristic Databases 2017 34 144 2018 42 165 2019 47 186 2020 52 205 2021 55 223 2022 58 235 2023 60 247

3.5 Consortium Synergy Mechanism Demonstrates Strong Cohesion

As an expert organization for university libraries in the province, the Jiangsu Provincial University Library and Information Work Committee plays a coordinating, consulting, research, and guiding role. It leads university libraries across the province to continuously accelerate digital transformation and improve literature resource quality and overall service levels in terms of institutional mechanism innovation, resource co-construction and sharing, and talent team building. The funding allocated by the Jiangsu Provincial Department of Education to the Provincial University Library and Information Work Committee is mainly used for the introduction of Chinese universal resources and well-known foreign language resources needed for teaching, research, and discipline construction in provincial universities, adopting group procurement to improve funding efficiency and the guarantee strength of Chinese and foreign literature resources. In 2023, the provincial university library consortium jointly procured 41 resources, an increase of nearly 30% compared with 2018. Among them, six databases were subsidized or purchased outright using funding from the Provincial Department of Education: New Oriental Multimedia Learning Library, CSSCI, EBSCO Database, SLCC Journal Database, Yizhuan Patent Platform, and Boxue Yizhi Learning Platform, with total funding of approximately 5.8 million yuan, and procurement funding performance has increased year by year [8].

4 Realistic Dilemmas Facing the Digital-Intelligent Transformation of Literature Resources in Jiangsu University Libraries

Although Jiangsu university libraries have achieved phased breakthroughs in the digital-intelligent transformation of literature resources and formed a development model with regional characteristics, they still face multiple realistic challenges against the backdrop of accelerated intelligent technology iteration and continuously upgraded educational needs: restricted procurement funding and homogenized construction, surging proportion of foreign language digital resource funding, "short boards" in digital resources of vocational college libraries, and the need for improvement in the standardization and openness of characteristic database construction.

4.1 Funding Constraints and Resource Homogenization

Affected by the external environment, literature resource funding in Jiangsu universities can no longer continue to rise, and procurement is undergoing structural changes, particularly evident in undergraduate-level libraries. In 2023, literature resource procurement funding for 121 reporting libraries totaled 670.9236 million yuan, with an average of 5.5448 million yuan per library (6.7359 million yuan in 2022), lower than the national average of 6.640 million yuan. For undergraduate-level libraries, the average decreased from 10.9194 million yuan in 2022 to 10.0912 million yuan in 2023 (an 8% decrease). Under pressure from database price increases and exchange rates, many undergraduate-level libraries have adjusted their digital resource renewal varieties. In 2022, the minimum number of digital resource units ordered by provincial undergraduate-level libraries was 5,446, which decreased to 5,379 in 2023. In digital resource construction, university libraries face monopolistic pricing of some high-quality academic resources, lack autonomous and flexible precise response strategies and performance management tools, show obvious homogenized procurement across libraries, and suffer from limited coverage of provincial digital resource varieties. In platform database statistics, the trend toward further homogenization continued in 2023 compared with 2022: among Chinese standard database ordering units, nine were selected by 50 or more libraries (seven in 2022), 12 by 40 or more libraries, 33 by 30 or more libraries (30 in 2022), 57 by 20 or more libraries, and 116 by 10 or more libraries (112 in 2022). Among foreign language standard database ordering units, 91 were selected by 10 or more libraries, including three by 30 or more libraries and 14 by 20 or more libraries.

4.2 Surging Proportion of Foreign Language Digital Resource Funding

With the development of high-level research university construction and international academic exchanges, the demand for foreign language digital resources among Jiangsu university libraries has increased. Both the quantity and funding of foreign language digital resources show rapid growth, while funding and quantity of Chinese digital resources have decreased significantly, particularly evident in undergraduate-level library digital resource data, reflecting rapid changes in user needs. In 2020, provincial Chinese digital resource funding was 128.8483 million yuan, and foreign language digital resource funding was 208.5372 million yuan, with a Chinese-to-foreign funding ratio of 1:1.63. In 2023, Chinese digital resource funding decreased to 124.7925 million yuan (a 3% decrease from 2020), while foreign language digital resource funding increased to 297.9168 million yuan (a 42.86% increase from 2020), with the ratio changing to 1:2.33. The rising proportion of foreign language digital resources is particularly prominent in undergraduate-level libraries. In 2023, Chinese digital resource funding per library decreased to 1.7606 million yuan (an 18% decrease from 2020), while foreign language digital resource funding per library increased to 5.3029 million yuan (a 38% increase from 2020), resulting in a Chinese-to-foreign ratio of 1:3. Apart from funding factors such as price and exchange rates, the increasing demand for foreign language digital resources is also evident in the number of subscriptions: in 2020, the province ordered 2,705 minimum units of Chinese digital resources, which decreased to 2,508 in 2023 (a 7% decrease).

4.3 Digital Resource "Short Boards" in Vocational College Libraries

With continuous breakthroughs and rapid development in digital technology, vocational colleges face important tests of "fitness," urgently needing to remedy "short boards" and "weaknesses" in digital resources and other areas [13]. Data shows that in recent years, literature resource funding for vocational college libraries has declined, and the digital resource "short board" is growing increasingly larger. In 2023, the average literature resource procurement funding per vocational college library was 1.4802 million yuan, a 6% decrease from the 2017 average of 1.5744 million yuan. In 2017, the average literature resource funding for undergraduate-level libraries was 5.2 times that of vocational college libraries, with the gap increasing to 5.6 times by 2023. In 2017, digital resource funding accounted for 22% of literature resource funding in vocational college libraries, compared to 56% in undergraduate-level libraries. By 2023, although the proportion increased, vocational college libraries reached only 52%, while undergraduate-level libraries reached 70%. In terms of accumulated e-book volume, in 2017, vocational college libraries averaged 1.2843 million e-books, while undergraduate-level libraries averaged 3.5137 million; by 2023, vocational college libraries averaged 6.9038 million e-books, while undergraduate-level libraries averaged 12.2220 million.

4.4 Urgent Need to Enhance Scale Effects of Characteristic Databases

In the field of characteristic database construction, standardization and openness need improvement. Although the number of self-built databases in provincial universities has increased year by year, the lack of unified construction standards and norms has resulted in inconsistent data formats and metadata descriptions, affecting resource integration and sharing. Some characteristic databases have low openness due to intellectual property protection or management authority factors, providing only limited services within their own institutions, failing to fully realize the social value and academic influence of characteristic resources, and making it difficult to achieve scale and radiation effects. In the list of reported self-built characteristic databases, some databases show signs of update suspension and access restrictions. Characteristic database construction should fully investigate needs, digitally empower connotations, ensure the accuracy, timeliness, and accessibility of digital resources, and implement measures such as real-time evaluation and feedback channels, standardized construction, and multi-channel promotion and sharing to enhance the social value of characteristic databases and the overall strength of provincial digital resource services.

5 Countermeasures and Suggestions for Digital-Intelligent Transformation of Literature Resources in Provincial University Libraries

"China's education looks to Jiangsu." Jiangsu's education system covers all disciplines and various levels, with leading educational resources and scale nationwide and certain representativeness. Against the backdrop of widespread intelligent technology application and prominent data resource value, Jiangsu university libraries have a good foundation for literature resource construction and services. Statistics show that in 2023, the total collection resources of provincial university libraries reached 1.74 billion (volumes/items), with digital storage reaching 11,800 TB. Facing realistic dilemmas in digital transformation, Jiangsu university libraries need to actively adapt and proactively seek change, leveraging advantages in digital-intelligent empowerment, open sharing, and characteristic construction to promote greater effectiveness in digital-intelligent transformation.

5.1 Transforming Mindset: Strengthening Digital-Intelligent Strategic Thinking

Provincial university libraries need to elevate the digital-intelligent transformation of literature resource construction to a strategic core position, deeply recognizing its supporting role in higher education development. The "Collection Assessment Trends" in the ACRL's 2016 Top Trends in Academic Libraries Report show that optimizing collection scale requires establishing more comprehensive and flexible budget management methods. Some American university libraries have created new collection analyst positions [14]. Jiangsu university libraries should learn from advanced experiences to further clarify individual goals and provincial orientation for literature resource construction digital-intelligent transformation. Under the guidance of the Jiangsu Provincial University Library and Information Work Committee, they should continuously improve the statistical indicator system of the "Jiangsu Provincial University Library Development Statistics and Decision Service System Platform," strengthen reporting mechanisms, enhance data auditing and verification, improve data quality, and promote the application and transformation of data achievements to provide strong support for strategic management and decision-making in university libraries across the province.

5.2 Transforming Organization: Optimizing Collaborative Management Architecture

Construct an organizational system of "provincial coordination—regional collaboration—institutional autonomy" to further coordinate strategic planning for university libraries across the province. Develop an advanced path of "print—digital—intelligent—ecological" for literature resource construction. Establish digital resource co-construction and sharing mechanisms, formulate more effective mechanisms for precise procurement, legal sharing, and cost allocation of foreign language digital resources to form provincial synergy and reduce procurement costs. Divide collaborative regions according to disciplinary clusters, establish regional resource digital-intelligent co-construction and sharing alliances, and clarify resource construction priorities for each region. Address the digital resource "short board" issue in vocational college libraries by implementing assistance programs, paired support, and providing technical training, resource mirror services, and characteristic database construction guidance to narrow regional and inter-institutional digital resource gaps.

5.3 Transforming Methods: Digital-Intelligent Empowerment of Resource Construction Scenarios

With new-generation digital-intelligent technologies such as artificial intelligence, big data, blockchain, and the Internet of Things as core drivers, deeply reshape the entire process and service scenarios of digital-intelligent literature resource construction in university libraries to achieve intelligent, high-quality literature resource construction and guarantee. In the resource procurement phase, use big data analysis of user access behavior and disciplinary development trends to establish intelligent procurement decision models that precisely identify popular resources and potential needs, avoiding homogenized construction. Develop intelligent cataloging systems based on natural language processing to achieve automatic classification, indexing, and knowledge graph construction of literature resources, enhancing the mining of resource value. Address the issue of tight foreign language resource funding by fully leveraging data-driven approaches to optimize literature resource structure, scientifically allocate resources across all links, implement demand-based procurement strategies (such as POD, PAD, etc.), reduce procurement costs, and achieve precision in literature resource construction. Build a virtual-real integrated resource system to provide readers with visual, interactive literature access experiences, promoting the digitalization of literature resource construction toward intelligent, personalized, and scenario-based transformation and upgrading.

5.4 Transforming Models: Constructing Provincial Characteristic Construction Models

Based on Jiangsu's university disciplinary advantages and regional cultural characteristics, construct a differentiated and complementary digital construction model for literature resource construction. Through multi-party cooperation involving overall guidance, university co-construction, and social participation, deeply integrate "industry-academia-research-application" to create a Jiangsu-characteristic university literature resource construction brand. On the one hand, further deepen cooperation and exchanges with domestic and international libraries, provincial research institutions, publishers, and database vendors; actively participate in international and domestic open science plans and projects; promote the establishment of digital resource co-construction and sharing mechanisms among regional university libraries; and encourage cooperation and exchanges between libraries of different institutional levels to ensure effective flow of digital resources across institutions. On the other hand, strengthen overall planning of characteristic digital resources across provincial university libraries, establish a joint catalog and retrieval platform for characteristic resources to enable discovery and access.

5.5 Transforming Ecosystem: Cultivating an Open and Collaborative Digital-Intelligent Ecosystem

Seizing the opportunity of rapid open science development (marked by AI4S), construct an open, collaborative, and symbiotic digital-intelligent ecosystem to promote the transformation of university libraries from resource storage centers to knowledge innovation hubs. University libraries need to incorporate open access resources (including preprint resources) into their collection systems, using big data and artificial intelligence technologies to enhance the intelligence and personalization of open resource services. Establish open access resource transition research groups to provide intelligent tools for faculty and students offering suggestions for open access journal submissions. Further break down data silos among universities, research institutions, and enterprises to achieve real-time communication and intelligent matching of literature resources, technological achievements, and user needs. Explore applications in generative artificial intelligence, automatic knowledge graph construction, digital humanities, and digital memory (such as Chongqing University Memory) to accelerate the transformation of cutting-edge technologies into the digital-intelligent ecosystem of university library literature resource construction. Encourage university libraries to participate in global open science programs, promoting the transformation of characteristic databases from "institutional self-building" to "global sharing" to enhance the social value and academic influence of literature resources.

6 Conclusion and Future Outlook

Currently, in the process of digital transformation of literature resource construction, Jiangsu university libraries have relied on a good foundation of educational resources and early practical exploration to initially establish a digital resource system and service framework of considerable scale, forming a demonstration effect nationwide. However, they still face realistic challenges such as insufficient procurement funding, resource homogenization, uneven development, and inadequate knowledge service capabilities. Through countermeasures and suggestions including strengthening digital-intelligent strategic thinking, optimizing collaborative management architecture, digitally-intelligently empowering resource construction scenarios, cultivating an open and collaborative digital-intelligent ecosystem, and constructing provincial characteristic models, new momentum can be injected into the high-quality development of provincial university libraries, helping to achieve the leap from a large education province to a strong education province and demonstrating Chinese wisdom and provincial solutions in global educational digital competition.

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