Organising your data throughout your entire research project will save you time and effort to make it shareable and re-usable later on.
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 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.
Last Updated: Friday, 20 January 2017 11:49