We discuss important aspects of HCI research regarding Research Data Management (RDM) to achieve better publication processes and higher reuse of HCI research results. Various context elements of RDM for HCI are discussed, including examples of existing and emerging infrastructures for RDM. We briefly discuss existing approaches and come up with additional aspects which need to be addressed. This is to apply the so-called FAIR principle fully, which -- besides being findable and accessible -- also includes interoperability and reusability. We also discuss briefly the kind of research data types that play a role here and propose to build on existing work and involve the HCI scientific community to improve current practices.

翻译：本文探讨了人机交互（HCI）研究中与研究数据管理（RDM）相关的重要方面，旨在优化出版流程并提高HCI研究成果的复用率。我们讨论了适用于HCI的RDM的多种情境要素，包括现有及新兴的RDM基础设施实例。在简要评述现有方法的基础上，我们提出了若干亟待解决的补充议题，以期全面落实所谓的FAIR原则——该原则不仅强调数据的可发现性与可访问性，还涵盖互操作性与可复用性。此外，我们简要分析了相关研究数据类型，建议在现有工作基础上，通过HCI学术界的共同参与来改进当前实践。