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Sensitivity of Field Data and Field Protocols in OneDimensional Hydraulic Modelling A Case Study on Varying Slopes and Channel Roughness by Robert Matthew William KutaA thesis presented to the University
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To fill out sensitivity of field data, follow these steps:
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Gather the necessary field data that needs to be evaluated for sensitivity.
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Identify the factors or variables that may affect the sensitivity of the field data.
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Determine the appropriate measurement or assessment method to quantify the sensitivity.
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Establish a scale or criteria for rating the sensitivity of the field data.
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Assign a sensitivity score or value to each data point based on the established criteria.
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Document the process and results of the sensitivity evaluation.
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Analyze the sensitivity data to identify trends or patterns.
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Regularly review and update the sensitivity assessment as needed to account for changes in the field data or its context.

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Sensitivity of field data refers to the classification of data based on its confidential or proprietary nature, determining how it should be handled and protected.
Entities collecting field data, such as businesses, research institutions, and governmental agencies, are typically required to file sensitivity of field data.
To fill out sensitivity of field data, one must assess the data collected, classify it according to sensitivity levels, and complete any prescribed forms or templates detailing the sensitivity assessments.
The purpose of sensitivity of field data is to ensure proper handling, storage, and sharing of data that may contain sensitive or confidential information to protect privacy and maintain compliance with regulations.
Information that must be reported includes the type of data collected, the sensitivity classification assigned, the purpose of data collection, and any measures taken to protect the data.
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