Faculty of Technology, Policy and Management, Delft University of Technology, Delft, the Netherlands.
Education and Student Affairs, Eindhoven University of Technology, Eindhoven, the Netherlands.
PLoS One. 2024 Feb 8;19(2):e0297969. doi: 10.1371/journal.pone.0297969. eCollection 2024.
To understand how open research data sharing and reuse can be further improved in the field of Epidemiology, this study explores the facilitating role that infrastructural and institutional arrangements play in this research discipline. It addresses two research questions: 1) What influence do infrastructural and institutional arrangements have on open research data sharing and reuse practices in the field of Epidemiology? And 2) how could infrastructural and institutional instruments used in Epidemiology potentially be useful to other research disciplines? First, based on a systematic literature review, a conceptual framework of infrastructural and institutional instruments for open research data facilitation is developed. Second, the conceptual framework is applied in interviews with Epidemiology researchers. The interviews show that two infrastructural and institutional instruments have a very high influence on open research data sharing and reuse practices in the field of Epidemiology, namely (a) access to a powerful search engine that meets open data search needs and (b) support by data stewards and data managers. Third, infrastructural and institutional instruments with a medium, high, or very high influence were discussed in a research workshop involving data stewards and research data officers from different research fields. This workshop suggests that none of the influential instruments identified in the interviews are specific to Epidemiology. Some of our findings thus seem to apply to multiple other disciplines. This study contributes to Science by identifying field-specific facilitators and challenges for open research data in Epidemiology, while at the same time revealing that none of the identified influential infrastructural and institutional instruments were specific to this field. Practically, this implies that open data infrastructure developers, policymakers, and research funding organizations may apply certain infrastructural and institutional arrangements to multiple research disciplines to facilitate and enhance open research data sharing and reuse.
为了了解如何在流行病学领域进一步改进开放研究数据共享和再利用,本研究探讨了基础设施和制度安排在该研究学科中的促进作用。它提出了两个研究问题:1)基础设施和制度安排对流行病学领域的开放研究数据共享和再利用实践有什么影响?2)流行病学中使用的基础设施和制度工具如何能对其他研究学科有用?首先,基于系统的文献综述,开发了一个基础设施和制度工具的概念框架,以促进开放研究数据。其次,将概念框架应用于对流行病学研究人员的访谈。访谈表明,有两种基础设施和制度工具对流行病学领域的开放研究数据共享和再利用实践有非常高的影响,即(a)能够满足开放数据搜索需求的强大搜索引擎的访问权限,以及(b)数据管理员和数据经理的支持。第三,在一个涉及来自不同研究领域的数据管理员和研究数据人员的研究研讨会上讨论了具有中等、高或非常高影响的基础设施和制度工具。该研讨会表明,访谈中确定的具有影响力的工具没有一个是特定于流行病学的。因此,我们的一些发现似乎适用于多个其他学科。本研究通过确定流行病学中开放研究数据的特定领域促进者和挑战,为科学做出了贡献,同时表明,所确定的具有影响力的基础设施和制度工具没有一个是特定于该领域的。实际上,这意味着开放数据基础设施开发人员、政策制定者和研究资助组织可以将某些基础设施和制度安排应用于多个研究学科,以促进和增强开放研究数据的共享和再利用。