
This record contains the recorded video sessions for the Introductory Research Data Management Course - Enhancing Longitudinal Data Sharing course, delivered by the UK Data Service (UKDS) as part of an initial Population Research UK (PRUK) project. These materials are designed to equip data managers with foundational research data management skills, specifically focusing on enhancing longitudinal data sharing. The course covers: Foundational concepts in research data management, including the data lifecycle and FAIR principles. Ethical and legal considerations for handling research data, with emphasis on data protection and participant privacy. Best practices for organising, formatting, and documenting data to ensure usability and reusability. Techniques for anonymising data while maintaining research utility. Strategies for sharing data responsibly using responsible repositories and trusted research environments, leveraging licence and access frameworks. These recorded sessions are adapted from our live, interactive training. To provide a more concise learning experience, we have focused on the core theoretical content and excluded activities like quizzes, polls, and interactive tools such as Menti. These elements were designed for live audience engagement but are not critical for understanding the core concepts. Zenodo does not currently support subtitles or closed captions. The embedded captions can be viewed via the software VLC. A .vtt file for each video has been uploaded to Zenodo to accompany the videos, with the hope that these will be enabled when Zenodo adds this feature. These materials were created under the Skills Development for Managing Longitudinal Data for Sharing project, funded by the Economic and Social Research Council (ESRC) and the Medical Research Council (MRC).
Data Formatting, Research Data Management, Data Documentation, Ethical Considerations, Data Anonymisation, Data Organisation, FAIR Principles, Data Management/methods, Legal Compliance, Skills Development, PRUK, UKDS, Longitudinal Studies, Data Lifecycle, Data Management
Data Formatting, Research Data Management, Data Documentation, Ethical Considerations, Data Anonymisation, Data Organisation, FAIR Principles, Data Management/methods, Legal Compliance, Skills Development, PRUK, UKDS, Longitudinal Studies, Data Lifecycle, Data Management
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
