Get the free Data Product Specification - Airservices

Part 175. E Request for data concerning objects and structures that affect aviation safety Air services Australia 2015-Page 1 of 7 Tables of contents 1 2 3 4 Background.............................................................................................................................................3

How to fill out data product specification

How to fill out a data product specification?

1. Start by identifying the purpose of the data product and what it aims to achieve. This will help guide the content and structure of the specification.
2. Gather all necessary information about the data product, including its intended audience, required data sources, desired outputs, and any specific criteria or constraints.
3. Clearly define the data product's scope, including the specific data elements that will be included, as well as any exclusions or limitations.
4. Outline the data product's structure and format. This may include specifying the file types, data fields, and column headers that will be used.
5. Define the data collection and processing methods that will be employed, outlining any relevant algorithms, formulas, or data transformation processes.
6. Specify any quality control measures that will be implemented to ensure the accuracy, completeness, and consistency of the data.
7. Include any security and privacy considerations, such as data encryption, access controls, and compliance with applicable regulations (e.g., GDPR).
8. Clarify the intended frequency and schedule for updating or refreshing the data product, as well as any associated data governance procedures.
9. Provide a clear and concise explanation of any technical requirements or dependencies, such as software tools, programming languages, or cloud infrastructure.

Who needs a data product specification?

1. Data scientists and analysts who will be using the data product to perform their analyses, build models, or generate insights.
2. Software engineers and developers who will be responsible for implementing the data product and integrating it into existing systems or applications.
3. Stakeholders and decision-makers who require a comprehensive understanding of the data product's functionalities, limitations, and potential impact on their business or operations.

By following these steps and creating a well-defined data product specification, you can ensure clarity, consistency, and effective communication throughout the development and implementation process.

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