Bezuidenhout Louise, Chakauya Ereck
Institute for Science, Innovation and Society, University of Oxford, Oxford, UK.
Steve Biko Centre for Bioethics, University of the Witwatersrand, Johannesburg, South Africa.
Glob Bioeth. 2018 Feb 26;29(1):39-54. doi: 10.1080/11287462.2018.1441780. eCollection 2018.
There has considerable interest in bringing low/middle-income countries (LMIC) scientists into discussions on Open Data - both as contributors and users. The establishment of data sharing practices within LMIC research institutions is vital for the development of an Open Data landscape in the Global South. Nonetheless, many LMICs have significant challenges - resource provision, research support and extra-laboratory infrastructures. These low-resourced environments shape data sharing activities, but are rarely examined within Open Data discourse. In particular, little attention is given to how these research environments shape scientists' perceptions of data sharing (dis)incentives. This paper expands on these issues of incentivizing data sharing, using data from a quantitative survey disseminated to life scientists in 13 countries in sub-Saharan Africa. This interrogated not only perceptions of data sharing amongst LMIC scientists, but also how these are connected to the research environments and daily challenges experienced by them. The paper offers a series of analysis around commonly cited (dis)incentives such as data sharing as a means of improving research visibility; sharing and funding; and online connectivity. It identifies key areas that the Open Data community need to consider if true openness in research is to be established in the Global South.
让低收入/中等收入国家(LMIC)的科学家参与开放数据的讨论,无论是作为贡献者还是使用者,都引起了相当大的兴趣。在LMIC研究机构内建立数据共享实践对于全球南方开放数据格局的发展至关重要。尽管如此,许多LMIC面临着重大挑战——资源供应、研究支持和实验室外基础设施。这些资源匮乏的环境塑造了数据共享活动,但在开放数据的讨论中很少被审视。特别是,很少有人关注这些研究环境如何塑造科学家对数据共享激励措施的看法。本文利用对撒哈拉以南非洲13个国家生命科学家进行的定量调查数据,阐述了激励数据共享的这些问题。这不仅调查了LMIC科学家对数据共享的看法,还调查了这些看法如何与他们所经历的研究环境和日常挑战相关联。本文围绕一些常见的激励措施进行了一系列分析,如将数据共享作为提高研究知名度的一种手段;共享与资金;以及网络连接。它确定了如果要在全球南方建立真正的研究开放性,开放数据社区需要考虑的关键领域。