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面向健康科学图书馆的基于应用的大数据开发框架。

Application-based big data development framework for health sciences libraries.

作者信息

Chen Xinxin, Zhang Di, Wang Bo, Ahmad Khurshid

机构信息

Library, Shanghai University of Finance and Economics Zhejiang College, Jinhua, China.

New Media Communication Department, School of Humanities, Jiamusi University, Jiamusi, China.

出版信息

Health Info Libr J. 2024 Sep;41(3):324-329. doi: 10.1111/hir.12545. Epub 2024 Jul 24.

DOI:10.1111/hir.12545
PMID:39046201
Abstract

The study is a part of a student research project on performance-based evaluation of big data application in health sciences libraries. It presents a theoretical framework of the performance-based evaluation system for health institutes' libraries in the digital environment. The health sciences libraries' systematic approach was judged based on the five main components (data culture, organisational infrastructure, responsibilities, skills and technology competence) of big data analytics (BDA). A comprehensive literature review of the published studies was undertaken related to BDA, including the diffusion of innovation theory, and the theoretical background of the technology acceptance model to produce an application-based big data development framework for the health sciences libraries. The application-based evaluation model integrates BDA in health sciences libraries for improving library services and performance. The study proposed a need for skilled professionals with the knowledge and experience both professionally and technically. Finally, the study proposed a model that will help to measure the organisation's ability to analyse vast amounts of data to empirically validate the association concerning big data analysis and analytical practices in health libraries.

摘要

该研究是一项学生研究项目的一部分,该项目旨在对健康科学图书馆中大数据应用的基于绩效的评估进行研究。它提出了数字环境下健康机构图书馆基于绩效的评估系统的理论框架。健康科学图书馆的系统方法是根据大数据分析(BDA)的五个主要组成部分(数据文化、组织基础设施、职责、技能和技术能力)来判断的。对已发表的与BDA相关的研究进行了全面的文献综述,包括创新扩散理论和技术接受模型的理论背景,以生成一个基于应用的健康科学图书馆大数据发展框架。基于应用的评估模型将BDA整合到健康科学图书馆中,以改善图书馆服务和绩效。该研究提出需要具备专业和技术知识与经验的熟练专业人员。最后,该研究提出了一个模型,该模型将有助于衡量组织分析大量数据的能力,以实证验证健康图书馆中大数据分析与分析实践之间的关联。

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