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In order to meet the need of researchers at the University of Edinburgh to archive large datasets and restricted datasets for the long-term, the University set out to build a DataVault system from the codebase previously developed in collaboration with the University of Manchester. This new DataVault is a complementary and integral part of the existing suite of Research Data Management (RDM) tools at Edinburgh; open data up to 100 GB is archived in DataShare and metadata records are brought together with other research outputs in our CRIS (Pure). In this way the Research Data Service is better able to support users taking a holistic approach to RDM as a component of Open Science. Through user engagement and testing, our understanding of user needs has been refined. Challenges relating to usability and resilience have been overcome. The web-based DataVault system allows users to archive multiple terabytes in an affordable, secure archive with a persistent identifier and other metadata discoverable on the CRIS. Future development will implement a review system to allow appropriate management of data over the long-term.
Infrastructure, Research Data, Preservation
Infrastructure, Research Data, Preservation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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