高校图书馆科研数据管理的理论依据

Academic libraries have assumed expansive research data management (RDM) responsibilities, yet persistent dataset underutilisation suggests systemic disconnects between services and researcher needs. This scoping review applied a three-dimensional diagnostic framework to examine why libraries struggle to advance beyond consultative roles despite sustained investment. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines, this review analysed 34 empirical studies (2015–2025). Electronic databases, key journals, and grey literature sources were systematically reviewed, with 65% of studies originating from high-income (Global North) contexts. The analysis integrated the Institutional Readiness Index (IRI), Service Maturity Level (SML), and Information Flow Efficiency (IFE) to assess library engagement with research datasets. Three structural patterns constrain effectiveness. First, a capacity-complexity mismatch emerges as libraries manage increasingly diverse datasets without proportional infrastructure scaling, creating bottlenecks in discoverability, interoperability, and preservation. Second, structural progression barriers appear, where advancement requires simultaneous development across infrastructure, staffing, governance, and engagement rather than sequential improvement. Third, an implementation gap separates Findable, Accessible, Interoperable, Reusable (FAIR) policy awareness from operational capacity, as most institutions demonstrate standards knowledge without technical operationalisation ability. These patterns form interdependent constraints: infrastructure limitations correlate with restricted services, which are associated with persistent researcher skill gaps, reduced engagement, and constrained resource allocation, reinforcing the initial deficits. The review framework provides diagnostic specificity for identifying whether constraints stem from readiness, maturity, or implementation failures. This study advances RDM scholarship by explaining stagnation patterns rather than cataloguing services, offering an empirically grounded diagnostic tool. However, the findings reflect predominantly high-resource contexts and require validation across diverse institutional settings.

Abstract University libraries have archaeologically augmented scientific research by collecting, organizing, maintaining, and availing research materials for access. Researchers reckon that with the expertise acquired from conventional cataloging, classification, and indexing coupled with that attained in the development, along with the maintenance of institutional repositories, it is only rational that libraries take a dominant and central role in research data management and further their capacity as curators. Accordingly, University libraries are expected to assemble capabilities, to manage and provide research data for sharing and reusing efficiently. This study examined research librarians’ experiences of RDM activities at the UON Library to recommend measures to enhance managing, sharing and reusing research data. The study was informed by the DCC Curation lifecycle model and the Community Capability Model Framework (CCMF) that enabled the Investigator to purposively capture qualitative data from a sample of 5 research librarians at the UON Library. The data was analysed thematically to generate themes that enabled the Investigator to address the research problem. Though the UON Library had policies on research data, quality assurance and intellectual property, study findings evidenced no explicit policies to guide each stage of data curation and capabilities. There were also inadequacies in skills and training capability, technological infrastructure and collaborative partnerships. Overall, RDM faced challenges in all the examined capabilities. These challenges limited the managing, sharing, and reusing of research data. The study recommends developing an RDM unit within the UON Library to oversee the implementation of RDM activities by assembling all the needed capabilities (policy guidelines, skills and training, technological infrastructure and collaborative partnerships) to support data curation activities and enable efficient managing, sharing and reusing research data.

Academic libraries play an increasingly crucial role in providing services, information, education, and infrastructure support related to research data management (RDM). This systematic review aims to provide a comprehensive and critical analysis of the state of RDM services offered by academic libraries worldwide. Utilizing the systematic review methodology, the paper examines 89 empirical studies to answer four research questions: (1) the types of RDM services implemented by academic libraries; (2) what are the infrastructure, workflow, and resources used to support these services; (3) what are the reasons for implementing these RDM services; and (4) the effectiveness of these RDM services in supporting the research data life cycle, if any. This review highlights the critical reasons academic libraries provide RDM services and how they implemented these services through partnerships, infrastructure, and systems, and adapting to new workflows within the library. These findings also examine the balance between institutional contexts, researchers' needs, and library resources required to provide these RDM services. By investigating these questions, the results will provide recommendations and guidance for academic libraries interested in implementing RDM services in their own library and institutional contexts.

Purpose The debate about academic librarians’ roles in research data management (RDM) services is currently relevant, especially in the context of making research data findable, accessible, interoperable and reproducible. This study aims to explore the RDM services offered by Malaysian academic libraries and the implementation progress based on the librarians’ practices and roles. Design/methodology/approach This descriptive study involves three sequential forms of data collection: a website analysis of 20 academic libraries relating to RDM services, training and policy; an online survey of the academic libraries’ RDM implementation progress; and semi-structured interviews with three academic librarians to gauge their practices and roles in RDM services. Findings Malaysian academic libraries provide RDM services based on their related or basic skills which are bibliographic management tools, institutional repository and openness of research data rather than impacted services to support RDM, such as data analysis, data citation, data mining or data visualisation services. Although the librarians were aware of RDM and their roles in research data services, the progress of practicing and implementation of the RDM services still has not been fully delivered to support the main RDM elements. Practical implications This study illustrates the RDM roadmap on the current landscape of areas and types of services that the libraries are doing well. The list of services can be used and implemented as the best practices or strategies to be applied within Malaysian academic libraries. Originality/value This study highlights the gaps of RDM services in Malaysian academic libraries. To the best of the authors’ knowledge, as this is the first study in Malaysia that articulates the case of RDM services in academic libraries, it has paved the way for further research.

The use of AI in libraries offers revolutionary possibilities in several fields, embracing creative solutions and transforming conventional methods. Chatbots are one example of how the Industrial Revolution 4.0 has resulted in the substitution of services with machines to increase performance and quality. Improving user experiences using NLP and artificial intelligence (AI). Now Librarians have been forced to respond with service innovations in data science and research data management (RDM) due to the recent developments in network technologies and scholarly communication, which give academic libraries the chance to seek out new ways to interact with researcher communities. The purpose of this study is to examine research data management services offered by research libraries. One of the main emerging themes in academic libraries is the facilitation of research data management for the benefit of researchers and institutions. The purpose of this work is to examine how libraries might offer these kinds of services for managing research data and integrate all universities and research centres, government departments into one network named the Research Database Management System (RDMS). This study covers the importance of research data, its organisation, distribution, preservation, and the vital role of researchers and professors in their daily research updates and life cycle. The librarians examine current tools and technologies that could be utilised to successfully implement Research Data Management (RDM) services, providing a comprehensive description of RDM as a service. The article shows that 90% of libraries are going to convert from a manual traditional management system to automation. This automation is now moving toward AI technology; this chain development enhances the robotic technology to involve robotics-integrated blockchain technology in library administration.

Research Data Management (RDM) has become increasingly important for more and more academic institutions. Using the Peking University Open Research Data Repository (PKU-ORDR) project as an example, this paper will review a library-based university-wide open research data repository project and related RDM services implementation process including project kickoff, needs assessment, partnerships establishment, software investigation and selection, software customization, as well as data curation services and training. Through the review, some issues revealed during the stages of the implementation process are also discussed and addressed in the paper such as awareness of research data, demands from data providers and users, data policies and requirements from home institution, requirements from funding agencies and publishers, the collaboration between administrative units and libraries, and concerns from data providers and users. The significance of the study is that the paper shows an example of creating an Open Data repository and RDM services for other Chinese academic libraries planning to implement their RDM services for their home institutions. The authors of the paper have also observed since the PKU-ORDR and RDM services implemented in 2015, the Peking University Library (PKUL) has helped numerous researchers to support the entire research life cycle and enhanced Open Science (OS) practices on campus, as well as impacted the national OS movement in China through various national events and activities hosted by the PKUL.

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Research Data Management (RDM) services are increasingly becoming a subject of interest for academic and research libraries globally – this is also the case in developing countries. The interest is motivated by a need to support research activities through data sharing and collaboration both locally and internationally. Many institutions, especially in the developed countries, have implemented RDM services to accelerate research and innovation through e-Research but extensive RDM is not so common in developing countries. In reality many African universities and research institutions are yet to implement the most basic of data management services. We believe that the absence of political will and national government mandates on data management often hold back the development and implementation of RDM services. Similarly, research funding agencies are not yet applying sufficient pressure to ensure that Africa complies with the requirement to deposit research data in trusted repositories. While the context was acknowledged the University of Dodoma library staff realized that it is urgent to prepare for the inevitable – the time when RDM will be a requirement for research funding support. This paper presents the results of research conducted at the University of Dodoma, Tanzania. The purpose of the research was to identify and report on relevant RDM services that need to be implemented so that researchers and university management could collaborate and make our research data accessible to the international community. This paper presents findings on important issues for consideration when planning to develop and implement RDM services at a developing country academic institution. The paper also mentions the requirements for the sustainability of these initiatives.

Examining landscapes of research data management services in academic libraries is timely and significant for both those libraries on the front line and the libraries that are already ahead. While it provides overall understanding of where the research data management program is at and where it is going, it also provides understanding of current practices and data management recommendations and/or tool adoptions as well as revealing areas of improvement and support. This study examined the research data (management) services in academic libraries in the United States through a content analysis of 185 library websites, with four main areas of focus: service , information , education , and network. The results from the content analysis of these webpages reveals that libraries need to advance and engage more actively to provide services, supply information online, and develop educational services. There is also a wide variation among library data management services and programs according to their web presence.

Introduction. This short paper reports on findings from a survey of academic librarians with liaison responsibilities to college and university social sciences and humanities departments, with particular attention to newer responsibilities related to research data management and scholarly communications, areas less commonly associated with humanities and humanistic social sciences liaison work. Method. The survey was distributed to 1085 individuals, 330 of whom responded (rate: 30.4%). Analysis. This paper reports on one segment of the survey’s findings: the extent to which respondents believe their American Library Association (ALA)-accredited master’s degree and, where applicable, additional graduate coursework, prepared them for specific duties associated with liaison work. Results. Three findings are discussed: 1) impressions about the ALA-accredited master’s from respondents who have not participated in other graduate education 2) as compared to respondents who have completed additional graduate education, and 3) respondents’ impressions of the extent to which additional graduate study prepared them for liaison work as compared to the preparation afforded by the ALA-accredited master’s. Conclusions. Respondents do not believe the ALA-accredited master’s to have provided strong preparation for the ‘Mulligan’s Stew’ of tasks, skills, and responsibilities associated with liaison work. The Discussion and Conclusion sections share suggestions for strengthening liaison preparation.

Purpose This study aims to investigate the perceptions of academic librarians regarding research data services (RDS) in academic library environments. This study also examines a range of challenges in RDS from the perspectives of academic librarians. Design/methodology/approach A nationwide online survey was administered to academic librarians engaged in data services at research universities around the USA. The collected survey responses were analyzed quantitatively using descriptive statistics, hierarchical clustering and multidimensional scaling. Findings Academic librarians perceived that consultation services would be more valuable to users than technical services in offering RDS. Accordingly, skills associated with consultation services such as instructional skills and data management planning were perceived by participants to be more important. The results revealed that academic libraries would need to seek collaboration opportunities with other units on campus to develop and offer RDS, especially technical services. Originality/value This study contributes to the existing body of research on the topic of data services in research universities. The study investigated various types of specific professional competencies and used clustering analysis to identify closely associated groups of service types. In addition, this study comprehensively examined both relevant resources for and barriers to RDS.

Background Librarians and researchers alike have long identified research data management (RDM) training as a need in biomedical research. Despite the wealth of libraries offering RDM education to their communities, clinical research is an area that has not been targeted. Clinical RDM (CRDM) is seen by its community as an essential part of the research process where established guidelines exist, yet educational initiatives in this area are unknown. Case Presentation Leveraging my academic library’s experience supporting CRDM through informationist grants and REDCap training in our medical center, I developed a 1.5 hour CRDM workshop. This workshop was designed to use established CRDM guidelines in clinical research and address common questions asked by our community through the library’s existing data support program. The workshop was offered to the entire medical center 4 times between November 2017 and July 2018. This case study describes the development, implementation, and evaluation of this workshop. Conclusions The 4 workshops were well attended and well received by the medical center community, with 99% stating that they would recommend the class to others and 98% stating that they would use what they learned in their work. Attendees also articulated how they would implement the main competencies they learned from the workshop into their work. For the library, the effort to support CRDM has led to the coordination of a larger institutional collaborative training series to educate researchers on best practices with data, as well as the formation of institution-wide policy groups to address researcher challenges with CRDM, data transfer, and data sharing.

Purpose A major development in academic libraries in the last decade has been recognition of the need to support research data management (RDM). The purpose of this paper is to capture how library research data services (RDS) have developed and to assess the impact of this on the nature of academic libraries. Design/methodology/approach Questionnaire responses from libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand, the UK and USA from 2018 are compared to a previous data set from 2014. Findings The evidence supports a picture of the spread of RDS, especially advisory ones. However, future ambitions do not seem to have seen much evolution. There is limited evidence of organisational change and skills shortages remain. Most service development can be explained as the extension of traditional library services to research data. Yet there remains the potential for transformational impacts, when combined with the demands implied by other new services such as around text and data mining, bibliometrics and artificial intelligence. A revised maturity model is presented that summarises typical stages of development of services, structures and skills. Research limitations/implications The research models show how RDS are developing. It also reflects on the extent to which RDM represents a transformation of the role of academic libraries. Practical implications Practitioners working in the RDM arena can benchmark their current practices and future plans against wider patterns. Originality/value The study offers a clear picture of the evolution of research data services internationally and proposes a maturity model to capture typical stages of development. It contributes to the wider discussion of how the nature of academic libraries are changing.

Abstract The Research Data Management Librarian Academy (RDMLA) is a free, online global professional development program designed by librarians for librarians working in research-intensive environments. Developed through a unique partnership that includes a Library and Information Sciences academic program, research and health sciences libraries, and industry, the RDMLA’s inception, development, and launch provide helpful insights into the creation of online professional development courses. The RDMLA team’s experience building the course’s curriculum with an instructional designer (ID) and evaluating the operation and usefulness of the course’s content through usability testing provides valuable lessons learned for librarians constructing an online continuing education (CE) course.

This qualitative research study examines librarians’ research data management (RDM) experiences, specifically the factors that influence their ability to support researchers’ needs. Findings from interviews with 36 academic library professionals in the United States identify 5 factors of influence: 1) technical resources; 2) human resources; 3) researchers’ perceptions about the library; 4) leadership support; and 5) communication, coordination, and collaboration. Findings show different aspects of these factors facilitate or constrain RDM activity. The implications of these factors on librarians’ continued work in RDM are considered.

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Research data management (RDM) efforts, including the implementation of tools, development of best practices, and training of scholars, have taken center stage in many academic libraries. Evaluating and serving the RDM needs at federally funded organizations have also become a priority since the release of the 2013 U.S. Office of Science and Technology Policy memo. At the Los Alamos National Laboratory, a U.S. Department of Energy laboratory, the Research Library has launched a collaborative data management pilot called "Nucleus", based on a local installation of the open source software Open Science Framework. In this poster we present a preliminary assessment of Nucleus' implementation, including user feedback and lessons learned.

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The roles librarians play in data management vary depending on institutional need and support. While some libraries have established collaborations in these areas and have integrated themselves into data management activities, other libraries are in the beginning stages of assisting researchers with their data management challenges. The areas where librarians play roles also vary widely and may include consulting and writing data management plans for grant applications, assisting with determining metadata standards, data curation and archiving, and finding and citing appropriate data repositories. (Tenopir et al. 2012; Soehner 2010) Additionally, many academic research libraries are planning to offer data management services but have not initiated them at this time. (Tenopir et al. 2014) Since these services can be institution-specific, they can be implemented in many ways. (Raboin et al. 2013) A challenge most libraries face is in addressing the needs of a diverse clientele. The George T. Harrell Health Sciences Library (Harrell Library) supports the information, research, and education needs of almost 10,000 faculty, staff, students, and postdoctoral scholars across both the Penn State College of Medicine and the Milton S. Hershey Medical Center (Penn State Hershey). In addition to the large user population, the Harrell Library supports a wide range of research activities in clinical, biomedical, and translational areas, as well as providing support for medical and graduate education programs. With no formal mechanism to assist researchers with data management issues, most information was scattered throughout the institution. Many people relied on “word of mouth” or did not know where to turn when faced with questions related to data management. The action taken to initiate library involvement in data management activities was to host a half-day data management symposium, with the target audience being researchers – faculty, staff, and students at Penn State Hershey and University Park campuses. The goals of this event were to assist researchers in identifying resources and information on data management and to highlight the library as a conduit of information.

Academic research libraries are quickly developing support for research data management (RDM), including both new services and infrastructure. Here, we tell the stories of how eight different universities have developed programs of RDM support, focusing on the prominent role of the library in educating and assisting researchers with managing their data throughout the research lifecycle. Based on these stories, we construct timelines for each university depicting key steps in building support for RDM, and we discuss similarities and dissimilarities among universities in motivation to provide RDM support, collaborations among campus units, assessment of needs and services, and changes in staffing.

In the contemporary knowledge economy, academic libraries are increasingly adopting knowledge management (KM) strategies to enhance research support services and optimize institutional knowledge assets. This paper explores the critical role of KM tools and technologies such as institutional repositories, research information management systems (RIMS), digital libraries, artificial intelligence (AI)-driven discovery tools, and data visualization platforms in facilitating effective research support within library environments. Drawing on relevant models like the DIKW hierarchy and existing literature, the study highlights how these technologies enable the systematic acquisition, organization, and dissemination of knowledge across the research lifecycle. It also addresses significant challenges impeding the implementation of KM in developing countries, including inadequate infrastructure, limited staff capacity, and absence of formal KM policies. The paper concludes with strategic recommendations for enhancing KM practices in academic libraries, including capacity building, crossdepartmental collaboration, and the adoption of open-source technologies. By integrating KM into their core functions, libraries can reposition themselves as proactive agents in scholarly communication and institutional research advancement.

Universities strive to foster knowledge sharing and greater research productivity. Some recognize that this requires research output to be findable, accessible, interoperable and reusable. But current tools do not yet allow a comprehensive adoption of these FAIR principles for making research openly and globally accessible to generate new knowledge. To address this gap, diverse stakeholders are collaborating to build effective research data management [RDM] solutions for institutional research output [publications and data] that benefit researchers, institutions, and developers. This paper illustrates a university-industry collaboration between a private U.S. university (Drexel University) and a global commercial vendor (Ex Libris, a ProQuest company). The authors examine how an emerging technology infrastructure for Research Data Management will enable librarians to help institutions adopt the FAIR principles at scale. They highlight an approach for collaborative product development that aims not to change researcher habits or add to librarians’ workloads. Their first year working together confirms factors recognized as contributing to successful collaborations, such as aligning goals, building understanding of each other’s organizations, and sustaining honest engagement. Though FAIR offers a simple articulation to help build campus infrastructure and change culture, its implementation will vary between different groups of researchers. Libraries and technology providers have a mutual interest in collaborating to address RDM challenges, but must recognize that collaboration takes time, perseverance, and flexibility to effect change. Librarians, researchers, and administrators from such campus offices as Research, Compliance, IT, Legal, and Graduate Studies will benefit from key lessons raised by this case study. DANUTA A. NITECKI ADI ALTER