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：我们讨论了人机交互（HCI）研究中关于研究数据管理（RDM）的重要方面，旨在优化出版流程并提升HCI研究成果的复用率。文章探讨了HCI领域RDM的多元情境要素，涵盖现有及新兴RDM基础设施案例。我们简要分析了现有研究方法，并提出需补充完善的关键维度，以实现所谓FAIR原则的全面贯彻——该原则不仅要求数据具备可发现性与可访问性，还强调互操作性与可复用性。此外，本文简要讨论了涉及的研究数据类型，并建议在既有工作基础上，通过凝聚HCI学术共同体力量来推动当前实践的改进。