DRAMBORA
What is DRAMBORA?
DRAMBORA (Digital Repository Audit Method Based On Risk Assessment) originated as a paper-based methodology for helping repository managers to develop a documented understanding of the risks they face, expressed in terms of probability and potential impact. These risks are then mapped to organisational aspirations and effort allocations in order to facilitate ongoing organisational development and resource allocation. In short, DRAMBORA offers a quantifiable insight into the severity of risks faced by repositories right now, and an effective means for reporting these.
Using DRAMBORA
The best and most efficient way of carrying out a DRAMBORA audit is by using DRAMBORA Interactive, an online tool which guides you through the audit process on a step-by-step basis. DRAMBORA Interactive provides a host of real-world risk exemplars which you can use or modify for your own repository's circumstances. Finally, DRAMBORA Interactive's powerful reporting functionality enables you to export your risk register in a variety of formats, providing a powerful business case for increasing the security and stability of your repository.
Benefits of DRAMBORA
Carrying out a DRAMBORA audit helps provide peace of mind with regard to growing, valuable and at-risk digital collections. It can strengthen the trust of users and staff, increase efficiency by helping to focus and refine operational policies, and may even highlight potential opportunities for repository managers to leverage increased development potential by offering a clear way to demonstrate the risks related to shortfalls in repository funding.
Further Information
- DRAMBORA Interactive: User Guide [PDF, 2.05MB]
- DRAMBORA Interactive website [external]
- Frequently Asked Questions about DRAMBORA
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IDMP project
IDMP project
The Integrated Data Management Planning (IDMP) toolkit and support project aims to help HEIs bridge the gap between data curation policy and practice. It will do this in part by making more accessible the key elements of DAF, AIDA, DRAMBORA and DMP.
