Data Supporting "RDM 101 Impact Evaluation: A Study on Training Effectiveness and Research Practice Changes"

This record describes the dataset underpinning the report “RDM 101 Impact Evaluation: A Study on Training Effectiveness and Research Practice Changes” (DOI provided below), an evaluation of the short- and long-term impact of TU Delft’s Research Data Management (RDM101) training for PhD candidates. The dataset consists of: data collected via Graduate School feedback forms (2020–2025), pre- and post-training survey questionnaires and responses from four course cohorts (2024/2025), codebooks for qualitative data (including semi-structured interviews), and related documentation.The raw data contain potentially confidential and identifiable personal information (particularly in open-text responses and interview data). Therefore, open-text answers from Graduate School feedback forms and pre- and post-training surveys, as well as raw interview files and transcripts, are not included in this package. Instead, we provide the anonymised, cleaned quantitative datasets and the qualitative codebooks describing the categories used in the analysis and presented in the report.The dataset includes both quantitative and qualitative components. Quantitative variables capture shifts in RDM awareness, storage practices, understanding of FAIR principles, Data Management Plan readiness, and intentions to publish data and code. Qualitative components provide insights into participants’ motivations, perceived relevance, behavioural change, mindset shift, and experiences during the course. Together, these data form the foundation for the mixed-methods analysis reported in the study.<strong>Related software: </strong>The code used for data analysis is available at: 10.4121/f7e9b088-cf91-464d-a6a9-772fde5d8bff<strong>Acknoledgments</strong>We thank Nicolas Dintzner (TPM Data Steward) for his expert support with the Data Management Plan, consent materials, and the HREC process for this project.A big thanks to Judith Linnemann-Karel from TU Delft Central Graduate School who took the time to provide us with the feedback forms data in the format we needed for this study.<strong>Contact Information</strong>For questions, issues, or contributions, contact TU Delft Library Research Data and Software Training Team [e-mail].

本数据集为报告《RDM 101影响评估：培训效果与研究实践变革研究》（DOI见下文）提供支撑，该报告针对代尔夫特理工大学（TU Delft）面向博士生开设的研究数据管理（Research Data Management, RDM101）培训的短期与长期影响展开评估。
本数据集包含以下内容：2020年至2025年研究生院反馈问卷采集的数据、2024/2025学年四期课程的培训前与培训后调查问卷及回复、定性数据分析编码手册（含半结构化访谈资料），以及相关文档材料。
原始数据包含潜在的机密信息与可识别个人身份信息（尤其体现在开放式文本回复与访谈数据中）。因此，本数据包未收录研究生院反馈表单、培训前后调查问卷的开放式文本答案，以及原始访谈文件与访谈转录文本。取而代之的是，本数据包提供了经过匿名化处理与清洗的定量数据集，以及描述本研究分析所用分类体系的定性编码手册，相关内容已呈现在报告中。
本数据集同时涵盖定量与定性两类内容。定量变量用于捕捉研究数据管理认知、存储实践、对FAIR原则（FAIR Principles）的理解、数据管理计划（Data Management Plan, DMP）准备情况，以及发布数据与代码的意愿等维度的变化。定性内容则为参与者的参与动机、对课程的感知相关性、行为改变、思维转变以及课程体验提供了洞察视角。上述两类数据共同构成了本研究中混合方法分析的核心基础。
**相关软件**：本数据分析所用代码可通过以下标识获取：10.4121/f7e9b088-cf91-464d-a6a9-772fde5d8bff
**致谢**：我们感谢代尔夫特理工大学TPM数据管理员尼古拉斯·丁茨纳（Nicolas Dintzner），其为本项目的数据管理计划、知情同意材料以及人类研究伦理委员会（Human Research Ethics Committee, HREC）审批流程提供了专业支持。同时诚挚感谢代尔夫特理工大学中央研究生院的朱迪思·林内曼-卡雷尔（Judith Linnemann-Karel），她耗时为本研究提供了符合我们所需格式的反馈表单数据。
**联系方式**：如有疑问、问题或贡献建议，请联系代尔夫特理工大学图书馆研究数据与软件培训团队，邮箱：[e-mail]。