Research Data Management
This guide provides an introduction to managing research data at the University of Hull, for University staff and students.
Planning for the management of data used or generated in a research project is key to the success of the project and its longer term impact. Research funders and ethics committees require evidence that issues relating to data collection, storage and preservation have been worked through before a project gets underway.
Library Workshops
The University of Hull's Organisational Development programme for Academic and Research Staff includes a 90 minute workshop dedicated to Managing Your Research Data which is applicable to all disciplines, as well as a dedicated workshop for health and medical researchers.
Funders' requirements for Data Management Plans are covered in the faculty-specific Good Grant Writing workshops in the same programme.
The module Modern Researcher 1 for new PhD students covers data management planning.
Recommended Reading
- How to be FAIR with your data by This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.ISBN: 9783863955397Publication Date: 2022
- Managing and Sharing Research Data by Written by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills. Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types data before, during, and after the research process. Building on foundational data management techniques, it offers practical advice and insight into the unique skills needed to work with newer forms of data, like social media and big data. It also demonstrates how to: - Identify quality data that is credible, ethically-sound, and available for use - Choose and collect data suitable for particular research questions and project scopes - Work with personal, communal, administrative, and other sensitive and public data - Make the most of metadata - Visualise and share data using innovative platforms like blogs, infographics, and podcasts. ISBN: 9781526460264Publication Date: 2019