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Managing research outputs according to the research lifecycle: a phased approach
Phase 1: Planning and preparation
Planning ahead - guidance for grant applicants
Knowing funders' policies and expectations; Writing Data Management Plans; Costing data management; Writing grant applications.
Writing Data Management Plans
When do I need a Data Management Plan? Why they are useful; Tools, models and support.
Costing data management
Key questions to estimate costs; Time and budget-anticipating tools; Funding.
Phase 2: Actively researching
Handling sensitive and personal information
Using personal data in research; Ethical approval and registration; Anonymising data; Data protection; NHS data.
Creating and analysing data
Collecting data; Collecting sensitive data; Organising data; Formats; Describing data: metadata and documentation; Analysing data; Improving software.
Choosing your formats
Choosing your formats; Text, images and audiovisual files; Recommended formats; Preservation; Dissemination.
Phase 3: Archiving, preserving and curating
Storing and preserving data
Options for data storage; Information security; Long-term preservation and archiving; Storing sensitive and personal information; Retention and disposal of records.
Software sustainability, preservation and sharing
Why preserve software; How to preserve software; Citing software; Archiving GitHub repositories.
Phase 4: Data discovery, access and sharing
Sharing data
Handling copyright, Intellectual Property Rights and licences issues; Where to deposit data; Constraints to release data; Metadata, documentation and DOIs; Anonymising; Sharing publications; Citing data.
Data discovery and re-use
Finding data for re-use; Finding publications and projects; Citing data; Handling copyright, Intellectual Property Rights and licences issues; Analysing data.