(本文发表于《Malaysian Journal of Library Information Science》2020年25卷第2期P21-42) Abstract: There has been an increase in demand for research data management (RDM) policies to improve the quality of research data however, there is no clear-cut policy content to guide the process. The purpose of this study is to identify the existing RDM policies. Specifically, the study compares and differentiates the RDM policies in three developed nations (USA, UK and Australia) to ascertain how the policies vary. The RDM policies of 100 universities from the three countries, that are present online were retrieved and content analysis approach using NVivo and SPSS were performed. The results from the analysis revealed that the common underlying facts of the policies were found in the areas of access, retention, sharing, storage and ownership. All the universities share the same core values in the management of their research. They exhibit that Data Management Plan (DMP) is essential. The study concluded that the differences in the data management are mostly issues of focus areas. More so, there is no fixed retention period for research data. To resolve the few differences identified, common criteria for data management is proposed for policy considerations to ensure compliance. Finding from the study is significant to developing countries as it adds to the discourse on data management policies. The study will also enable policy makers in developing countries to draw empirical evidence from the developed world on RDM and this will form a basis for policy direction. 链接: Research data management policies in USA, UK and Australia universities: An online survey | Malaysian Journal of Library Information Science https://mjlis.um.edu.my/article/view/26065
当地时间2015年4月6日下午1点在图书馆314房间参加了Data Management Workshop Series的第一部分,Introduction to Data Management,大约20人参加了本次研讨会。 本次的主题是 Data Management的入门,主要讲述了三个问题:一是开展数据管理的背景,有来自科研人员的实际需要,也有基金组织和期刊出版社的要求;二是 开展数据管理的意义或者好处,主要有满足基金要求、节约时间、让自己的数据能够被更多的人理解和访问;三是主要介绍了数据管理的各个组成部分:计划、组织、文档、备份与存储等。
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