科研人员数据复用行为研究:系统综述与元综合
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摘要
学界已就科学数据复用的价值达成共识,不过实践却不尽如人意。文章采用系统综述和元综合方法对科研人员数据复用行为研究进行梳理,分别使用EBL和CIS对纳入文献进行批判性评估和解释综合。研究发现:不同学科的可复用数据源、数据评估判据以及复用行为影响因素存在情境敏感性和领域独立性;可复用的数据源主要有学科知识库、数据文档等正式渠道以及人际关系和联系作者等非正式渠道;判据主要源于数据的获取平台、自身、产生情境、生产以及复用者等;科研人员数据复用意愿和行为的影响因素涉及个人、机构/技术以及学科/社会等。后继研究可对不同学科领域的数据复用行为分别进行建模,采用整体和多维的理论视角对数据复用的影响因素展开实证研究。图1。表4。参考文献82。
There is an academic consensus on the value of scientific data reuse, but the practice is not satisfactory. Through combing the main research problems of scholars' data reuse, the paper tries to clarify the situation of the research and to find out the gaps in the current research, then to present the future research directions. System reviews and literature meta-synthesis method were used in this study, which strictly controls the inclusion of sample articles. Then, a critical evaluation of the included articles was performed using EBL Critical Assessment Checklist. Thirty-nine articles that score more than 75% are included. Subsequently, bibliometrics characteristics and characteristics of the content were extracted. Finally, a Critical Interpretive Synthesis(CIS) method was used to synthesize the concepts of these topics on relevance criteria and perceived reusability of data, as well as the factors affecting data reusing behavior. A series of results are concluded as follows: the research of data reuse behavior for scholars mainly focus on reusable resource, relevance criteria, and the willingness and influencing factors of reusing behavior. The reusable data sources mainly include formal channels such as printed literature, discipline repositories and data documents, as well as informal channels such as interpersonal relations and contacting authors. The essence of data assessment is data reusability assessment, including the assessment of data quality, data trust, the quality of data document, etc. Data assessment involves criteria derived from data itself, data producers, data reusers, data context information and acquisition platforms, etc. Influencing factors that affect the data reuse behavior and researchers' willingness to data reuse involve personal factors, institutional/technical factors, discipline/social environment factors and other relevant factors. In different disciplines, there are situational sensitivity and domain independence of reusable sources, data evaluation criteria, data reuse behavior and its influencing factors. Therefore, there is no one-size-fits-all solution to understand the data reuse behavior of all disciplines, and it is necessary to determine the needs of different stakeholders according to their disciplines and to model the process of data reuse accordingly. It is also important to clarify the relationships between reusability and data quality, trust and the quality of data documents, different theoretical perspectives and multi-dimensional research methods are necessary for the empirical research on the influence factors of scholars' data reuse. The limitation of this study lies in that the literature search strategy does not take into account the retrieval terms of various Data forms in the definition of Data, and only using "Data" as the retrieval term inevitably leaves out some Data reuse studies. However, this study comprehensively reviewed the research of data reuse from the perspective of scholars and it provides references for future research and scientific data management practice of library and intelligence institutions.1 fig. 4 tabs. 82 refs.
There is an academic consensus on the value of scientific data reuse, but the practice is not satisfactory. Through combing the main research problems of scholars' data reuse, the paper tries to clarify the situation of the research and to find out the gaps in the current research, then to present the future research directions. System reviews and literature meta-synthesis method were used in this study, which strictly controls the inclusion of sample articles. Then, a critical evaluation of the included articles was performed using EBL Critical Assessment Checklist. Thirty-nine articles that score more than 75% are included. Subsequently, bibliometrics characteristics and characteristics of the content were extracted. Finally, a Critical Interpretive Synthesis(CIS) method was used to synthesize the concepts of these topics on relevance criteria and perceived reusability of data, as well as the factors affecting data reusing behavior. A series of results are concluded as follows: the research of data reuse behavior for scholars mainly focus on reusable resource, relevance criteria, and the willingness and influencing factors of reusing behavior. The reusable data sources mainly include formal channels such as printed literature, discipline repositories and data documents, as well as informal channels such as interpersonal relations and contacting authors. The essence of data assessment is data reusability assessment, including the assessment of data quality, data trust, the quality of data document, etc. Data assessment involves criteria derived from data itself, data producers, data reusers, data context information and acquisition platforms, etc. Influencing factors that affect the data reuse behavior and researchers' willingness to data reuse involve personal factors, institutional/technical factors, discipline/social environment factors and other relevant factors. In different disciplines, there are situational sensitivity and domain independence of reusable sources, data evaluation criteria, data reuse behavior and its influencing factors. Therefore, there is no one-size-fits-all solution to understand the data reuse behavior of all disciplines, and it is necessary to determine the needs of different stakeholders according to their disciplines and to model the process of data reuse accordingly. It is also important to clarify the relationships between reusability and data quality, trust and the quality of data documents, different theoretical perspectives and multi-dimensional research methods are necessary for the empirical research on the influence factors of scholars' data reuse. The limitation of this study lies in that the literature search strategy does not take into account the retrieval terms of various Data forms in the definition of Data, and only using "Data" as the retrieval term inevitably leaves out some Data reuse studies. However, this study comprehensively reviewed the research of data reuse from the perspective of scholars and it provides references for future research and scientific data management practice of library and intelligence institutions.1 fig. 4 tabs. 82 refs.
引文
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[27] Yoon A.Data reusers' trust development[J].Journal of the Association for Information Science & Technology,2017,68(4):946-956.
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[30] Kim J,Schuler E R,Pechenina A.Predictors of data sharing and reuse behavior in academic communities[C]// Alemneh D G,Allen J,Hawamdeh S.Knowledge discovery and data design innovation:proceedings of the International Conference on Knowledge Management (ICKM 2017),Singapore:World Scientific,2017:1-25.
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