Research Data Management (RDM) covers all of the decisions made during the research lifecycle to handle research data, from the planning stage of your project up to the long-term preservation of your data. Good data management practices are essential to meet UCL standards of research integrity. Planning ahead for Research Data Management helps you to ensure data quality, minimise risks, save time and comply with legal, ethical, institutional and funders' requirements.
More information can be found in the Library Data Management guide.
Detailed support for those working with funding agencies or data considered sensitive under the Data Protection Act 2018 can be found in our dedicated RDM support pages.
Diagram by Caroline Ingram at www.jisc.ac.uk/guides/how-and-why-you-should-manage-your-research-data
Your data is precious. When time and effort has been spent to gather data, apply quality control, produce scripts and run analyses, it is important to guard against data loss. This can be caused by an IT failure, deleting files you realise later are important or overwriting a particular file when saving. There are a few things you can do to help protect your data:
Further guidance on the N drive and other file storage at UCL available from ISD.
Data can sometimes come with legal or ethical responsibilities. Always keep in mind any limitations that might be placed on the data you are working with as even when accessing material held in a database or archive there might still be licensing in place which restricts how that data are used.