An illustrative selection of organisations advocating the principles of research data management and sharing good practice.

The Library's guides to referencing using Harvard format or footnotes provide templates for citing printed and online datasets.

Research data comes in many different forms.  The creation, management, dissemination and use/re-use of research data can be mapped on to the different stages of the overall research lifecycle.  Indeed, effective research data management (RDM) is an essential part of that process, and increasingly is part of research best practice and a requirement of funding bodies.

Research data can include:

• Text or Word documents, spreadsheets
• Laboratory notebooks, field notebooks, diaries
• Questionnaires, transcripts, codebooks
• Audiotapes, videotapes
• Photographs, films
• Test responses
• Slides, artifacts, specimens, samples
• Collection of digital objects acquired and generated during the process of research
• Data files
• Database contents including video, audio, text, images
• Models, algorithms, scripts
• Contents of an application such as input, output, log files for analysis software, simulation software, schemas
• Methodologies and workflows
• Standard operating procedures and protocols

Please direct all enquiries to RDM@hull.ac.uk

Key contacts:  Chris Awre, Kirstyn Radford, Stuart Bentley