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Machine-Readable Data Production by the Federal Government Access to and Utility for Social Research MICHAEL W. TAUGHT JEROME M. CLUB University of Michigan Governments have long been a major source
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Machine-readable data production is typically done by using a computer system or software to generate data in a format that can be easily read and processed by another computer system or software.
The requirement to file machine-readable data production may vary depending on the specific context or regulations. Generally, organizations or individuals who are responsible for generating or providing certain types of data that need to be used or processed by other systems may be required to produce machine-readable data.
The specific steps to fill out machine-readable data production may vary depending on the software or tools being used. However, generally, it involves generating or converting the data into a structured format, such as CSV or JSON, and ensuring that the data is formatted correctly and can be easily read and processed by other systems.
The purpose of machine-readable data production is to enable efficient and automated processing of data by computer systems or software. By providing data in a machine-readable format, it becomes easier to transfer, analyze, and integrate data across different systems, reducing manual efforts and increasing data interoperability.
The specific information that needs to be reported on machine-readable data production may vary depending on the context or requirements set by relevant stakeholders or regulations. Generally, it may include relevant data fields, attributes, or metadata that are necessary for the intended use or processing of the data.
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