撒哈拉以南非洲研究数据管理的出版趋势:文献计量学分析

IASSIST quarterly Pub Date : 2021-12-26 DOI:10.29173/iq996
T. Kwanya
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引用次数: 1

摘要

研究数据管理是一个总括性术语,用于描述与研究数据的创建、组织、结构化、命名、备份、存储、保护和共享相关的活动,以及确保研究数据安全的所有行动。通常情况下,撒哈拉以南非洲的研究人员在接受研究数据管理的最佳实践方面落后于发达国家的研究人员。研究数据管理采用速度缓慢的原因之一是对该主题的研究不足。本文的目的是分析撒哈拉以南非洲研究数据管理出版物的数量、质量、知名度和作者身份。文献计量学方法被用于分析撒哈拉以南非洲及其相关地区的研究数据管理出版物,这些出版物目前已在谷歌学者中编入索引。之所以选择该指数,是因为它是免费的,并且被认为具有自由的选择标准,不偏袒或歧视任何学科或地理区域。使用Harzing的“发布或威胁”软件从Google Scholar检索数据,并使用VOSviewer进行分析。研究结果表明,撒哈拉以南非洲研究数据管理学术出版物的数量、质量、知名度和作者合作度都很低。撒哈拉以南非洲的图书馆和研究机构可以利用这些发现来制定和推广研究数据管理的最佳做法,以此提高其研究产出和影响力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Publishing trends on research data management in Sub-Saharan Africa: A bibliometrics analysis
Research data management is an umbrella term used to describe activities related to the creation, organisation, structuring, naming, backing up, storage, conservation, and sharing of research data as well as all actions that guarantee security of research data. As is often the case, researchers from Sub-Saharan Africa are lagging behind their counterparts in developed countries in embracing the best practices of research data management. One of the factors to which this slow pace of adoption of research data management could be attributed, is inadequate research on the subject. The purpose of this paper is to analyse the quantity, quality, visibility and authorship of publications on research data management in Sub-Saharan Africa. Bibliometrics approaches were used to analyse publications on research data management from, and on, Sub-Saharan Africa which are currently indexed in Google Scholar. The index was chosen because it is free and is reputed to have liberal selection criteria which do not favour, or discriminate, any discipline or geographic regions. Data was retrieved from Google Scholar using Harzing’s “Publish or Perish” software and analysed using VOSviewer. The findings of the study revealed that the quantity, quality, visibility and authorship collaboration of scholarly publications on research data management in Sub-Saharan Africa is low. The findings may be used by libraries and research institutions in Sub-Saharan Africa to develop and promote best practices in research data management as a means of enhancing their research output and impact.
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