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London Metropolitan University

Research Matters: Using research data

Research Matters

Data and good practice

To contribute to an open research environment, think about data sharing from the outset. By sharing data you may be helping your fellow researchers to advance discoveries in their respective fields.

Research Data Management, often abbreviated to RDM, requires a plan so that you have oversight of your research data from start to finish.

Try to apply the FAIR principles when managing your data:

Findable - consider where you are going to store your data so that others can easily locate it - use a repository to enable it to be found globally. Use a DOI and reference it

Accessible  - is the data available as Open Access or has an appropriate licence been applied? For some data, i.e. data relating to indentifiable humans, restrictions will be required.

Interoperable - the data can be read by humans and machines. Is the data recorded according to discipline standards?

Reusable - metadata (data about data) should be comprehensive to allow for data to be replicated or combined in the future. 

The Royal Society has a  video on research culture which explains how null outcomes, traditionally neglected in terms of recognition, can be valuable to research endeavour, allowing other researchers to utilise the results or adapt the methods for further study.

The Liberating your research section looks at how statistics may not be objective and free from bias.