Research Data is being generated at an ever-increasing rate. This brings challenges in how to store, analyse, and care for the data. Part of this problem is the long term stewardship of data and associated files that need a safe and secure home for the medium to long term.

The Data Vault project is funded by the Jisc #DataSpring programme and seeks to define and develop a Data Vault platform that will allow data creators to describe and store their data safely in one of the growing number of options for archival storage. This may include cloud solutions, shared storage systems, or local infrastructure.

This workshop is the first in a series to embrace the community in refining the solution developed so far.

Further details around the project are available on the JISC Data Vault blog

Programme

• 10:00 - 10:15: Refreshments and registration

• 10:15 - 10:30: Welcome and overview of the day

• 10:30 - 11:00: Discussion: What is a data vault? Agree definition.

• 11:00 - 12:00: Definition discussions:

• Group one: Technical development of the data vault (system architecture)

• Group two: Use cases and policies (quotas, deposits, retention and review)

• 12:00 - 12:30: Feedback from first discussions

• 12:30 - 13:15: Lunch and Research Data Spring projects sharing session
  

• 13:15 - 14:15: Definition discussions:

• Group three: Examples of data for archiving, definition of vaults / deposits

• Group four: Metadata to describe deposits, system roles and responsibilities (depositor, data manager)

• 14:15 - 14:45: Feedback

• 14:45 - 15:30: Conclusions and discussions