Research Data Storage & Management
Various services are available to staff and postgraduate researchers for storing and sharing research data. ISS works with the Library to provide support and advice with regards to Research Data Management planning, which is an essential part of good research practice and required in most grant applications.
We recommend that files are not stored on USB drives or just on the hard drive of your PC, as these locations are not backed up.
Final datasets linked to publications should be preserved using Pure.
An interactive tool is available to help you decide where to store your research data and guide you to appropriate resources. Services include:
For shared & personal storage - LU Box provides secure cloud storage. Research data is accessible from anywhere via www.lancaster.ac.uk/box, mobile apps and on your PC or Mac using Box Sync. You can choose to share data with colleagues, students and external parties.
For shared storage - Projects with smaller storage requirements can use departmental filestores on site at Lancaster University. Files are accessible via PC's on campus (normally via R: - Research Drive) and from off campus (using the VPN). Data may optionally be shared with colleagues.
For shared & personal storage - Projects with larger storage requirements can use the research silo filestore on site at Lancaster University. Files are accessible via PC's on campus and from off campus (using the VPN). Data may optionally be shared with colleagues.
Co-location Data Centre
A co-location centre (colo) is a type of data centre where equipment, space, and bandwidth are available. Co-location facilities provide space, power, cooling, and physical security for the server, storage, and networking equipment. ISS offers this facility for hardware that cannot be virtualised or as a means of staging hardware pending virtualisation.
ISS offers virtual server resources to campus for research. This can be an ideal place to have computer resource for prototyping, testing and development and, in most cases, to perform jobs that are not appropriate for our HEC facilities. These resources can be accessed from anywhere and offer a flexible cost-effective way of performing computing operations.