Automatic Module Detection in Data Cleaning Workflows: Enabling Transparency and Recipe Reuse
Before data from multiple sources can be analyzed, data cleaning workflows (“recipes”) usually need to be employed to improve data quality. We identify a number of technical problems that make application of FAIR principles to data cleaning recipes challenging. We then demonstrate how transparency...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Edinburgh
2022-04-01
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| Series: | International Journal of Digital Curation |
| Online Access: | http://www.ijdc.net/article/view/771 |