A data consumer-based approach to supporting data quality judgement
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Working Paper |
| Published: |
Cambridge, Mass. : Alfred P. Sloan School of Management, Massachusetts Institute of Technology
2009
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| Online Access: | http://hdl.handle.net/1721.1/47279 |
| _version_ | 1826189854071848960 |
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| author | Jang, Yeona. Kon, Henry B. Wang, Y. Richard |
| author2 | Sloan School of Management. |
| author_facet | Sloan School of Management. Jang, Yeona. Kon, Henry B. Wang, Y. Richard |
| author_sort | Jang, Yeona. |
| collection | MIT |
| first_indexed | 2024-09-23T08:25:02Z |
| format | Working Paper |
| id | mit-1721.1/47279 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T08:25:02Z |
| publishDate | 2009 |
| publisher | Cambridge, Mass. : Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/472792019-04-09T18:14:27Z A data consumer-based approach to supporting data quality judgement Jang, Yeona. Kon, Henry B. Wang, Y. Richard Sloan School of Management. 2009-09-30T22:20:10Z 2009-09-30T22:20:10Z 1992 Working Paper dataconsumerbase00jang http://hdl.handle.net/1721.1/47279 28208090 000649853 Working paper (Sloan School of Management) ; 3516. CISL WP ; #1992-05. application/pdf Cambridge, Mass. : Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| spellingShingle | Jang, Yeona. Kon, Henry B. Wang, Y. Richard A data consumer-based approach to supporting data quality judgement |
| title | A data consumer-based approach to supporting data quality judgement |
| title_full | A data consumer-based approach to supporting data quality judgement |
| title_fullStr | A data consumer-based approach to supporting data quality judgement |
| title_full_unstemmed | A data consumer-based approach to supporting data quality judgement |
| title_short | A data consumer-based approach to supporting data quality judgement |
| title_sort | data consumer based approach to supporting data quality judgement |
| url | http://hdl.handle.net/1721.1/47279 |
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