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Researchers are increasingly motivated to make their data available for future use. Repositories are an ideal location to store such data. However, data is now being placed in repositories that were not designed for data, and in some cases, the repositories were explicitly designed for other purposes. Repository staff do not always have the necessary training or tools to handle data, and repository policies do not always reflect the realities of data. This talk will review the challenges unique to storing and managing data within a repository. In particular, it will focus on the factors that repository staff must consider when determining the policies that govern acceptance of new data for their repository and long-term management of data in their repository.
Long-term data management, Data management, OR2015
Long-term data management, Data management, OR2015
| 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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