Data management is a general term covering how you organise, structure, store and care for the data used or generated during the lifetime of a research project. A useful overview can be found in these slides:
Research Data Management (RDM) and Research Data Service
The University of Edinburgh Research Data Management Service includes:
- DMPonline
Free and open web-based tool to help researchers write data plans
- DataStore
To store data in active use
- DataSync
'Dropbox-like’ file-hosting service for non-sensitive data
- DataShare
Edinburgh DataShare is the University’s Open Access ('OA') multi-disciplinary data repository run by the Research Data Service
- DataVault
Provides a long-term, low-cost, immutable, and safe storage solution for your research data, which is no longer active or not intended for publication.
- PURE datasets
Pure is the University's Current Research System which provides a data catalogue and is used to populate Edinburgh Research Explorer
The links below explain in more detail what data storage options are available:
Central Data Storage
IS Summary of Data Storage Options
This gives a summary in table format of each option - what it's for, where the data is stored, suitability for sensitive data, who can use it, collaboration options and storage quota/size limitations.
Information on support for researchers within the School of Informatics can be found here:
Support for Researchers within Informatics
Some examples of how Informatics users are making use of central research data services can be found here:
Central Research Data Services User stories
There are also options to keep in touch with other researchers within the University and training material should you feel it would be useful:
Research Data Policy
IS Research Data Service
Research Data Blog
Research Data Service Training and Skills
Research Data Management and Sharing - Learn Course
Research Data Management Forum Mailing List
Research Data Management SharePoint Site