PRUK UKDS: Introductory Research Data Management Course - Enhancing Longitudinal Data Sharing
Year: 2024
Type: article
Abstract: This record contains the finalised materials for the Introductory Research Data Management Course - Enhancing Longitudinal Data Sharing, 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 has been developed and refined through an iterative feedback approach, informed by the delivery of 10 sessions. Each session provided valuable insights into the content’s clarity, relevance, and practicality, allowing the course creators to continuously improve the materials. The materials uploaded here represent the final version, ensuring they are optimised for learning and application in research data management contexts. 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. The record contains presentation slides for each session. 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). They are intended for individuals seeking to improve their research data management practices and for trainers delivering similar content.
Authors: Bolton, Sharon, Lichtwardt, Beate, Magder, Cristina, Smy, Liz, Zahid, Hina, UK Data Service, Economic and Social Research Council, Medical Research Council, University of Essex
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G4818926218
OpenAlex ID: W6930660136
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