five

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

收藏
DataCite Commons2025-12-11 更新2026-01-03 收录
下载链接:
https://data.4tu.nl/datasets/90a1d562-8496-44f3-b8a5-5610ddc871d5
下载链接
链接失效反馈
官方服务:
资源简介:
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 rdmtraining-lib@tudelft.nl.
提供机构:
4TU.ResearchData
创建时间:
2025-12-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作