Organising your data throughout your entire research project will save you time and effort to make it shareable and re-usable later on.

cropped RDM during your project test tubes

It is easier to share or re-use your data at the end of your project if you keep up good data management practices throughout the research process. If you’re working on a collaborative project, data can quickly become disorganised if you haven’t planned how you will structure and name your data. If you work independently, it will make it easier for you to re-use you older data with new projects, if you describe and organise it effectively.

Data management

Software

Storage


Data management

Data management is not a static practice and you may find as you move through your project that you need to adapt the ways in which you collect or organise your data. SGUL provides some in-person training sessions on data management best practice and recommends the online training provided by other universities. Some funders, such as the EU’s Horizon 2020 scheme, require Data Management Plans (DMPs) to be updated throughout a project’s life cycle, so you may need to revisit the DMPOnline tool and submit a revised DMP.

More guidance on organising or documenting your data is also available online from other universities. See the RDM resource guide.

 


Software

As SGUL uses a wide variety of software, training on specific software for research analysis and interpretation is not currently available via the Research Data Management service. Microsoft Office training is available in the Library. This email address is being protected from spambots. You need JavaScript enabled to view it. are able to advise researchers on who manages the University’s REDCap databases and who to contact to be added to these, if necessary.

 


Storage

It is advisable to store your data on a SGUL shared drive, to which you will be allocated by Computing Services. As your project develops, you might find you need more storage space. Email the This email address is being protected from spambots. You need JavaScript enabled to view it. to discuss your needs for more active data storage.

Certain types of sensitive data may need to be kept in the SGUL Data Safe Haven (e.g. datasets received from NHS Digital, previously known as HSCIC). The Safe Haven is a technical solution for the storage and analysis of identifiable data and is compliant with the NHS Information Governance Toolkit. Please contact This email address is being protected from spambots. You need JavaScript enabled to view it. for more information on whether your data would be suitable for the Safe Haven and instructions on how to apply for this.

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Last Updated: Friday, 20 January 2017 11:49

For all enquiries about research data management, email: researchdata@sgul.ac.uk