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2015/16 Meteorological Verification Data Technical Reference Commonwealth of Australia 2016 This work is copyright. Apart from any use as permitted under the Copyright Act 1968, no part may be reproduced
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How to fill out data technical reference

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Step 1: Start by gathering all the necessary information and documentation related to the technical aspects of the data.
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Step 2: Create a clear and concise outline or structure for the data technical reference.
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Step 3: Begin filling out the reference by providing general information such as the purpose and scope of the data.
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Step 4: Outline any specific data formats, conventions, or standards that need to be followed.
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Step 5: Describe the different data fields or variables, including their names, types, and descriptions.
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Step 6: Provide examples or sample entries to illustrate the proper formatting and usage of the data.
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Step 7: Include any relevant diagrams, charts, or visual aids to help understand the data structure or relationships.
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Step 8: Review and proofread the completed data technical reference for accuracy and clarity.
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Step 9: Make the reference easily accessible to the intended audience, whether it's through documentation portals, APIs, or other means.
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Step 10: Regularly update and maintain the data technical reference as needed, keeping it aligned with any changes or updates in the data.

Who needs data technical reference?

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Data technical reference is typically needed by software developers, data analysts, database administrators, and other technical professionals involved in working with or understanding the data.
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It is also useful for data consumers, data scientists, and anyone who needs to integrate the data into their own systems or analysis.
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In addition, data technical reference can be beneficial for project managers, quality assurance teams, and stakeholders who want to ensure accurate and consistent usage of the data.
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Data technical reference is a document that provides detailed information about the technical aspects of a dataset.
Data publishers or organizations responsible for managing datasets are required to file data technical reference.
Data technical reference can be filled out by providing detailed information such as dataset title, description, format, metadata, and data quality indicators.
The purpose of data technical reference is to provide transparency and help users understand the technical aspects of a dataset.
Information such as dataset title, description, format, metadata, and data quality indicators must be reported on data technical reference.
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