Data at Risk Initiative: Examining and Facilitating the Scientific Process in Relation to Endangered Data
Examining the scientific process in relation to endangered data, data reuse, and sharing is crucial in facilitating scientific workflow. Deterioration, format obsolescence, and insufficient metadata for discovery are significant problems leading to loss of scientific data. The research presented in...
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2014-01-01
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| Series: | Data Science Journal |
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| Online Access: | http://datascience.codata.org/articles/51 |