ABSTRACT

Research Data Management (RDM) is an inherently complex area that presents a challenge for institutions to effectively upskill people in RDM and get them to enact RDM best practices. This systematic review aims to provide a reference point for institutions and academic developers to design and deliver effective training for their students and staff to navigate the RDM landscape. After narrowing down from a pool of 1256 articles across 7 databases to 28 articles for analysis, this systematic review provides an overview of available RDM training and identifies three main themes in relation to key features of this RDM training.

摘要

研究数据管理 (RDM) 是一个本质上复杂的领域，它给机构提出了挑战，要有效地提高 RDM 人员的技能并让他们制定 RDM 最佳实践。本系统综述旨在为机构和学术开发人员提供一个参考点，以设计和提供有效的培训，让他们的学生和教职员工驾驭 RDM 领域。在从 7 个数据库的 1256 篇文章缩小到 28 篇文章进行分析后，本系统综述概述了可用的 RDM 培训，并确定了与该 RDM 培训的关键特征相关的三个主要主题。