An empirical examination of data reuser trust in a digital repository

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Elizabeth Yakel, Ixchel M. Faniel, Lionel P. Robert Jr
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Abstract

Most studies of trusted digital repositories have focused on the internal factors delineated in the Open Archival Information System (OAIS) Reference Model—organizational structure, technical infrastructure, and policies, procedures, and processes. Typically, these factors are used during an audit and certification process to demonstrate a repository can be trusted. The factors influencing a repository's designated community of users to trust it remains largely unexplored. This article proposes and tests a model of trust in a data repository and the influence trust has on users' intention to continue using it. Based on analysis of 245 surveys from quantitative social scientists who published research based on the holdings of one data repository, findings show three factors are positively related to data reuser trust—integrity, identification, and structural assurance. In turn, trust and performance expectancy are positively related to data reusers' intentions to return to the repository for more data. As one of the first studies of its kind, it shows the conceptualization of trusted digital repositories needs to go beyond high-level definitions and simple application of the OAIS standard. Trust needs to encompass the complex trust relationship between designated communities of users that the repositories are being built to serve.

Abstract Image

数字资料库中数据再用户信任度的实证研究
大多数关于可信数字资源库的研究都集中在开放式档案信息系统(OAIS)参考模型 中描述的内部因素--组织结构、技术基础设施以及政策、程序和流程。通常,这些因素在审计和认证过程中被用来证明一个存储库是可信的。影响资源库指定用户群信任资源库的因素在很大程度上仍未得到探讨。本文提出并测试了一个数据存储库信任度模型,以及信任度对用户继续使用存储库意愿的影响。基于对 245 份定量社会科学家调查的分析,这些科学家发表了基于一个数据存储库所持数据的研究成果。研究结果表明,有三个因素与数据再用户信任呈正相关--完整性、身份识别和结构保证。反过来,信任和绩效预期又与数据再用户返回资源库获取更多数据的意愿正相关。作为同类研究中的首例,该研究表明,可信数字资源库的概念化需要超越高层次的定义和 OAIS 标准的简单应用。信任需要包括指定的用户群体之间复杂的信任关系,而这些用户群体正是信息库的服务对象。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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