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Creating Good Data A Guide to Dataset Structure and Data Representation Harry J. FoxwellCreating Good Data A Guide to Dataset Structure and Data RepresentationHarry J. FoxwellCreating Good Data: A Guide to Dataset Structure and Data Representation Harry J. Foxwell Fairfax, VA, USA ISBN13 (pbk): 9781484261026https://doi.org/10.1007/9781484261033ISBN13 (electronic): 9781484261033Copyright 2020 by Harry J. Foxwell This work is subject to copyright. All rights are
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Define the purpose of the data collection.
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Identify the target audience and their needs.
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Test the data collection process with a small group to identify potential issues.
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Collect data consistently and systematically.
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Document the data sources and methodology used.

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Creating good data a refers to the process of generating high-quality, reliable, and accurate data that can be used for analysis, decision-making, and reporting.
Individuals or organizations involved in data collection, analysis, or reporting, particularly in fields like research, business, and governance, are typically required to file creating good data a.
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The purpose of creating good data a is to ensure that data is trustworthy, which enhances the integrity of research findings, supports informed decision-making, and complies with regulatory requirements.
The information that must be reported on creating good data a typically includes data sources, collection methods, timestamps, quality assessment results, and any relevant metadata.
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