联系我们

论文查询结果	返回搜索

论文编号：	14771
作者编号：	2120223718
上传时间：	2024/6/8 23:55:08
中文题目：	科学数据感知质量对科研人员复用意愿的影响研究
英文题目：	Reseach on impact of scientific data perceived quality on researchs'''''''' data reusing intention
指导老师：	王芳
中文关键字：	数据质量；数据复用；科研人员；感知价值
英文关键字：	data quality;data reusing;researchers;perceived value
中文摘要：	随着数据密集型的科研范式的出现，科学数据逐渐成为驱动科研工作的重要动力，但是数据开放利用实践仍然存在诸多问题。当前，从用户角度评估数据多维度质量属性对数据复用意愿的研究仍然有待深入，针对数据质量因素对科研用户复用意愿影响路径的微观层面研究不足。因此，本研究旨在揭示影响科研人员数据复用意愿的科学数据质量因素，丰富感知科学数据质量的内涵。明确数据质量因素对数据复用意愿的影响效应强度，有助于推动数据的开放利用，促进科学数据的可持续发展。 本研究通过半结构化访谈和扎根理论研究，了解科研人员数据复用现状，识别出影响科研人员数据复用意愿的感知数据质量因素，并将其划分为数据收集质量（权威性、真实性、准确性、可重复性）、数据描述质量（文档清晰度、统一性、规范性）、数据服务质量（可及性、易处理性、丰富性）和数据发布质量（完整性、时效性、原始性）四个维度。基于扎根理论研究，提出了数据质量对科研人员复用意愿的影响理论模型，并通过实证检验的方式检验理论模型。从感知数据质量、感知价值、感知风险、需求匹配、同行推荐和复用意愿等变量入手，提出研究假设。通过问卷调查的方式回收数据样本，借助SPSS和AMOS软件对问卷数据进行描述性统计分析、信效度检验、结构方程模型，并对假设路径进行了验证。 研究结果显示，数据收集质量（权威性、准确性、真实性、可重复性）、数据发布质量（时效性、完整性、原始性）、数据描述质量中的文档清晰度以及数据服务质量中的丰富性对科研人员感知价值有正向影响。感知价值、需求匹配、同行推荐对科研人员数据复用意愿有正向影响。感知风险对科研人员数据复用意愿有显著负向影响。 在对研究结论进行讨论分析后，本研究提出了关于如何提高科学数据可复用性的对策和建议，包括完善科学数据质量审核，加强同行评审，建立质量控制体系，完善产权保护，促进数据理解利用等。
英文摘要：	Abstract With the emergence of data-intensive scientific research paradigm, scientific data has gradually become an important driving force for scientific research, but there are still many problems in the practice of open data utilization. Currently, the research on assessing the multidimensional quality attributes of data on the willingness to reuse data from the user's perspective still needs to be in-depth, and there is insufficient research on the micro level of the influence path of data quality factors on the willingness to reuse of scientific research users. Therefore, this study aims to reveal the scientific data quality factors affecting researchers' willingness to reuse data and enrich the connotation of perceived scientific data quality. Clarifying the strength of the effect of data quality factors on the willingness to reuse data can help promote the open utilization of data and the sustainable development of scientific data. In this study, through semi-structured interviews and rooted theoretical research, we understand the current situation of data reuse among researchers, identify the perceived data quality factors affecting researchers' willingness to reuse data, and classify them into data collection quality（authoritativeness, truthfulness, accuracy, and reproducibility）,data description quality（clarity of documents, uniformity, and standardization）, data service quality（accessibility, ease of processing, and richness）and four dimensions of data release quality（completeness, timeliness, originality. Based on the study of rooted theory, a theoretical model of the impact of data quality on researchers' willingness to reuse is proposed, and the theoretical model is tested by means of empirical testing. Starting from the variables of perceived data quality, perceived value, perceived risk, demand matching, peer recommendation and reuse willingness, the research hypotheses are proposed. The data samples were collected by means of questionnaires, and with the help of SPSS and AMOS software, the questionnaire data were analyzed with descriptive statistics, reliability and validity tests, structural equation modeling, and the hypothesized paths were verified. The results of the study showed that the quality of data collection（authority, accuracy, authenticity, and reproducibility）, the quality of data release（timeliness, completeness, and originality）,the clarity of documents in the quality of data description, and the richness in the quality of data service had a positive effect on the perceived value of researchers. Perceived value, demand matching, and peer recommendation have a positive effect on researchers' willingness to reuse data. Perceived risk has a significant negative effect on researchers' willingness to reuse data. After discussing and analyzing the findings, this study puts forward countermeasures and suggestions on how to improve the reusability of scientific data, including improving the quality audit of scientific data, strengthening peer review, establishing a quality control system, improving the protection of property rights, and promoting the understanding and utilization of data.
查看全文：	预览  下载(下载需要进行登录)