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Registration

Please submit your registration at https://rds-admin.er.kcl.ac.uk

Attention

Please use your k-number as the username.

The form collects the following metadata:

  • Principal Investigator (recorded automatically when you log in)
  • Title
  • Brief description
  • Duration
  • Quota (storage volume) required
  • Project members

Attention

The PI must be a KCL member of staff

On completion of the registration process, a Project will be created in RDS. Each Project has an associated membership group, controlled by the PI. Access is granted by KCL username/password.

Attention

  • RDS cannot commit to store data indefinitely so all requests must be associated with a duration for review/project end.
  • After the requested duration there will be options to extend, archive or close the project.
  • Data will never be deleted without confirmation from the PI/owner.

Restriction

RDS is not suitable for the plain-text 1 storage of Identifiable data. 2

Pricing

The usage model for RDS is organised around the Research Project. For every registered Project central funding will provide up to 5TB of storage. Projects requiring larger allocations will need to cover part of the extra cost and should budget £50/TB/annum for volumes beyond the 5TB centrally-funded allowance. PIs are encouraged to declare these costs on grant applications so that they can be passed onto Research Councils and other funding bodies.

Summary

  • 5TB per request is centrally funded.
  • Larger allocations cost £50 per annum for each extra TB.

Other

This document describes the Research Project–focused use of RDS. Whilst this is the most typical use-case, another specific requirement at KCL is for the storage of machine generated data associated with a facility e.g. a microscope. Please contact e-Research directly for more information about this type of use.

Terms of use

Before requesting an account, please read the terms of use — in requesting an account and accessing the system, it is implied that you agree to the terms of use as stated. This is especially important for supervisors or members of staff who are responsible for student or collaborator accounts.

  1. Plain-text data refers to data that can be read without any need for a key, as opposed to encrypted data. ↩

  2. Identifiable data is data that can be linked with an identifiable person. ↩