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[Work_Item]: Augment support for correction handling #556
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Summary TF-2 call on Oct 16:#556 [SPEC CHANGE]: Add Correction Handling Attribute and/or Appendix |
Notes from the Maintainers' call on November 4:Context: Current spec guidelines for cost corrections are insufficient, leading to discrepancies in how corrections are applied. This task aims to provide more comprehensive correction handling guidance to improve data consistency and accuracy. |
Summary Maintainers's call on Nov 25Context: |
Action Items from the TF-1 call on December 3:
Action Items from the Members' call on December 5:
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Action Items from the Maintainers' call on December 9:
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Action Items from the TF-1 call on December 10:
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Action Items from the Maintainers' call on December 16: |
Action Items from TF-1 call on December 17:
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1. Problem Statement *
While some correction handling rules have been incorporated into individual columns' normative requirements - primarily within metrics and related unit dimensions - the FOCUS specification lacks a comprehensive, unified framework (i.e., attribute) for managing corrections across all columns. The absence of an overarching correction handling standard may lead to inconsistencies, oversights, and ambiguities in the specification, particularly in multi-dimensional and metric-based data contexts, ultimately leading to misinterpretation and the generation of non-conforming correction records, compromising data integrity, reconciliation, and overall data quality.
To address this, an overarching correction handling attribute should be introduced. Additionally, a review of existing correction handling rules within individual columns' normative requirements is essential to ensure consistency and alignment with this unified approach.
2. Objective *
The goal of this work item is to formalize a consistent approach to correction handling across all columns within the FOCUS dataset.
By providing clear guidelines for producing conforming correction records and managing corrections across complex cost records in multi-dimensional and metric-based data contexts, this work item aims to minimize misinterpretation by both producers and consumers, ultimately enhancing data quality, integrity, and reliability.
Expected Outcomes:
Success Criteria:
Success can be measured by improvements in clarity, consistency, and accuracy regarding correction handling, as well as positive feedback from providers and practitioners on the ease of producing and validating conforming correction records.
3. Supporting Documentation *
Data Examples:
TBD
Prerequisites:
Related Issues:
4. Proposed Solution / Approach
Initial Ideas:
Considerations:
Feasibility:
5. Epic or Theme Association
TBD
6. Stakeholders *
TBD
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