Document Details |
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| Name of Department/Committee : | LITD 30 |
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| Document Number : | LITD 30 ( 28842) |
| Document Title [English] : | Artificial intelligence Data quality for analytics and machine learning ML Part 5: Data quality governance framework |
| Document Title [Hindi] : | आर्टिफिशियल इंटेलिजेंस — एनालिटिक्स और मशीन लर्निंग (ML) के लिए डेटा गुणवत्ता भाग 5: डेटा गुणवत्ता गवर्नेंस ढांचा |
| Document Type : | New |
| Language : | English |
| Priority : | 3 |
| ICS Code : | 35.020 |
| Date of Project Approval : | 21-08-2025 |
| Standards to be Superseded : | |
Classification Details |
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| Group : | Software and systems |
| Sub Group : | Software data management |
| Sub Sub Group : | IT Data Storage/ Information Processing |
| Aspects : | Others |
| Risk : | None |
| Certification : | None |
| Short Commom Man's Title : | |
| ITCHS Code : | |
| Ministry : |
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| Sustainable development Goals : | |
| Degree of Equivalence : | Identical under single numbering |
| Identical/Equivalent Standards : | ISO/IEC 5259-5: 2025 |
| Organization Type: | ISO/IEC |
| Sl.No. | Synosis Points | |
| 1 | This is part of a series of documents on data quality for analytics and machine learning and this document describes a framework for maintaining data quality in analytics and machine learning. Its main focus is to help organizations manage and monitor data quality throughout the data life cycle with the right controls. | |
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