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Managing Research Data: A Comprehensive Guide for Researchers

Dive into the world of research data management, from pre-project planning to post-project data sharing and archiving. Learn about best practices, data storage, ethics, and more.

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Managing Research Data: A Comprehensive Guide for Researchers

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  1. Introduction to Research Data Management Sue Harrisonsuharrison@rvc.ac.uk January 2014

  2. What is RDM and why do we care? Research data is all information you use in your research. RDM is how you organise, store and share this information. Also, funder requirements…

  3. Pre-Project: Data Management Plans Planning what you’re going to do with your data, enabling you to get the most out of your research. • Data types, formats & standards • Ethics and IP • Data access, sharing & reuse • Short-term storage & management • Deposit & long-term preservation • Roles & responsibilities • Resourcing

  4. During Project Maintaining data management planning throughout the project • Data storage & security • Confidentiality • Off-site working & collaboration • File structures & organisation • Verification, retraceability, usability • Version control CC-BY Image courtesy of Flickr user RemixDave.

  5. End of Project Making your datasets available and accessible for people to use in the future. • Selection, retention & destruction • Sharing datasets • Depositing datasets & DOIs • Metadata & future proofing • Institutional repository vs National repository • Physical archiving CC-BY Image courtesy of Flickr user Cea.

  6. Next steps: Sue Harrison suharrison@rvc.ac.uk January 2014

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