IEEE P2890/D1, Nov 2024
IEEE Draft Recommended Practice for Provenance of Indigenous Peoples Data
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- Language: English
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About This Item
IEEE P2890/D1, Nov 2024 is a draft recommended practice focused on the provenance of Indigenous Peoples data in computing and processing environments. It addresses how data origin, handling history, and related documentation can be tracked and communicated more responsibly, which is important when technical systems store, transfer, or reuse culturally sensitive information. For engineering teams and data stewards, this draft helps frame more consistent practices for accountability, transparency, and respectful data management.
IEEE P2890/D1, Nov 2024 overview
IEEE P2890/D1, Nov 2024 provides technical guidance for documenting and managing provenance information associated with Indigenous Peoples data. In a computing and processing context, provenance may include where data came from, how it has been transformed, who has handled it, and under what conditions it should be used. The draft recommended practice is relevant where data governance, recordkeeping, and workflow controls need to support clearer traceability and better-informed use of data in engineering and information systems.
Typical use cases
This draft is typically relevant in data platforms, archival systems, research databases, and analytics workflows that collect or process Indigenous Peoples data. It may support metadata design, ingestion procedures, lineage tracking, and review steps for organizations that need to understand data source and handling history. It can also be useful in procurement or system specification work where provenance controls are being defined for software tools, records systems, or data-sharing processes.
Why this standard matters
The value of IEEE P2890/D1, Nov 2024 lies in helping organizations reduce uncertainty around data origin and subsequent use. Provenance practices can improve consistency, support internal review, and make it easier to demonstrate how information has been managed over time. In practice, that can aid compliance efforts, risk reduction, and more careful design of technical systems that handle sensitive or community-linked data. Clear provenance also supports better procurement and testing expectations for data management tools.
- Data provenance and lineage tracking
- Documentation for handling and transformations
- Workflow controls for sensitive data use
- Support for governance and review processes
- Publication Date: 2024
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing; General Topics for Engineers
- Official IEEE: Doi link
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