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CAN/CSA-Z900.2.3:22 – Perfusable organs for transplantation

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181

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CAN/CSA-Z900.2.4:22 – Ocular tissues for transplantation

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142

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CAN/CSA-Z900.2.5:22 – Lymphohematopoietic cells for transplantation

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181

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CAN/CSA-Z902:25 – Blood and blood components

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354

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CSA Z91:26 – Health and safety code for suspended equipment operations

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268

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Z94.1-15 (R2025) – Industrial protective headwear – Performance, selection, care, and use

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158

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CSA Z94.2:26 – Hearing protection devices – Performance, selection, care, and use

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244

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API BULL 1178

API BULL 1178, 1st Edition: Integrity Data Management and Integration

CDN $226.00

Integrity Data Management and Integration

SKU: 2210142ca684 Category:

Description

Provides a compendium of methodologies and considerations for integrating the underlying data used to support integrity management. Any one approach may not be appropriate or applicable in all circumstances. The document reviews possible approaches for consideration by operators in the context of their specific circumstances. The primary focus of this bulletin is the methodologies and processes used to spatially integrate and normalize the data to support the application of comparative techniques used in interpreting integrity data, with particular emphasis on in-line inspection (ILI) data. The begins with a discussion of general data quality processes, goals, and considerations such that data quality approaches can be considered in the context of the data integration processes. An impediment to informed integrity decisions is the inability to efficiently review a broad spectrum of data in a format that has been normalized and spatially aligned. With the variations in organizational st

Edition

1

Published Date

2017-11-03

Status

Current

Pages

62

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

Provides a compendium of methodologies and considerations for integrating the underlying data used to support integrity management. Any one approach may not be appropriate or applicable in all circumstances. The document reviews possible approaches for consideration by operators in the context of their specific circumstances. The primary focus of this bulletin is the methodologies and processes used to spatially integrate and normalize the data to support the application of comparative techniques used in interpreting integrity data, with particular emphasis on in-line inspection (ILI) data. The begins with a discussion of general data quality processes, goals, and considerations such that data quality approaches can be considered in the context of the data integration processes. An impediment to informed integrity decisions is the inability to efficiently review a broad spectrum of data in a format that has been normalized and spatially aligned. With the variations in organizational st

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