研究数据储存库中的数据质量保证实践--系统性文献综述

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Besiki Stvilia, Yuanying Pang, Dong Joon Lee, Fatih Gunaydin
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引用次数: 0

摘要

数据质量问题会严重阻碍研究的可重现性、数据共享和重复使用。研究数据存储库(RDR)是解决数据质量问题的前沿阵地。本研究以活动理论和数据质量文献为指导,对 RDR 中的数据质量保证 (DQA) 实践进行了系统分析,最终为 RDR 构建了一个数据质量保证模型 (DQAM)。DQAM 概述了由评估、干预和交流活动组成的 DQA 流程,并将 17 个质量维度分为内在数据质量和产品级数据质量。它还详细说明了数据产品的具体改进措施,并确定了区域数据中心数据质量评估的基本角色、技能、标准和工具。通过将 DQAM 与现有的 DQA 模型进行比较,该研究强调了通过添加特定的 DQA 活动结构来改进这些模型的潜力。本研究的理论意义在于对区域发展报告中的 DQA 工作进行系统的概念化,该概念化以对文献的全面分析为基础,并提供了将 DQA 纳入更广泛的区域发展报告评估框架的完善概念。在实践中,DQAM 可以为设计和开发 DQA 工作流程和工具提供参考。作为未来的研究方向,本研究建议在各个领域应用和评估 DQAM,以进一步验证和完善该模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data quality assurance practices in research data repositories—A systematic literature review
Data quality issues can significantly hinder research reproducibility, data sharing, and reuse. At the forefront of addressing data quality issues are research data repositories (RDRs). This study conducted a systematic analysis of data quality assurance (DQA) practices in RDRs, guided by activity theory and data quality literature, resulting in conceptualizing a data quality assurance model (DQAM) for RDRs. DQAM outlines a DQA process comprising evaluation, intervention, and communication activities and categorizes 17 quality dimensions into intrinsic and product‐level data quality. It also details specific improvement actions for data products and identifies the essential roles, skills, standards, and tools for DQA in RDRs. By comparing DQAM with existing DQA models, the study highlights its potential to improve these models by adding a specific DQA activity structure. The theoretical implication of the study is a systematic conceptualization of DQA work in RDRs that is grounded in a comprehensive analysis of the literature and offers a refined conceptualization of DQA integration into broader frameworks of RDR evaluation. In practice, DQAM can inform the design and development of DQA workflows and tools. As a future research direction, the study suggests applying and evaluating DQAM across various domains to validate and refine this model further.
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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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