Library Subject Guides
This is a practical guide to help you manage your research data well, covering best practice for the successful storage, organisation, documentation, archiving and sharing of research data.
This guidance is intended for researchers of all levels, and across all academic disciplines.
The UK Data Services' research data lifecycle illustrates the stages of data management, from the start to the finish of a research project.
Planning for the management of research data, addressing any ethical and legal issues and gathering together research data management costs.
Successfully managing and handling research data while you are working with it, how research data is stored, secured, organised, formatted and documented; complying with funder, University, other relevant regulations and legal requirements.
Selecting research data for archiving and sharing, uploading selected research data to an appropriate data repository, deciding whether and on what terms the data will be made available, and selecting an appropriate licence.
Linking shared research data to associated published outputs, writing a data access statement to include in published outputs and recording shared datasets in PURE / WREO.
The University of York recognises the importance of research data management and has a Research Data Management Policy.
The Policy requires that you to manage and handle your research data well, and for staff and postgraduate researchers (doctoral level), to consider archiving and sharing (where possible) research data at the end of your project. You should read it.
Good research data management enables the University and its researchers to meet the standards and responsibilities set out in the University's Code of practice on research integrity and:
meet funder, ethical, legal and other responsibilities
maintain an accurate, complete, reliable and coherent representation of the materials used/collected
store research data securely and safely
preserve data which is identifiable, retrievable, and available when needed (and as appropriate)
to be able to make research data available to others in line with appropriate ethical, data sharing, FAIR (Findable, Accessible, Interoperable, and Reusable) and open access principles.
