Replication Data for: Testing the Automation Revolution Hypothesis
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data taken from O*NET, OES, and independent researchers, cleaned, filtered, and reshaped in formats that should be more accessible and useful for fellow researchers. Filtering primarily consisted of taking a series of datasets with different formats and updates at specific time periods and transformating them into a single data format, easily accessible and searchable. Data can be easily selected for only OES or only O*NET data points. All code and raw data are included. Additional included analysis demonstrates how to use interpolation to approximate missing values in the sparse data set to match against an O*NET variable of interest' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["O*NET, Economics, Jobs, Job Characteristics"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Data taken from O*NET, OES, and independent researchers, cleaned, filtered, and reshaped in formats that should be more accessible and useful for fellow researchers. Filtering primarily consisted of taking a series of datasets with different formats and updates at specific time periods and transformating them into a single data format, easily accessible and searchable. Data can be easily selected for only OES or only O*NET data points. All code and raw data are included. Additional included analysis demonstrates how to use interpolation to approximate missing values in the sparse data set to match against an O*NET variable of interest' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Data taken from O*NET, OES, and independent researchers, cleaned, filtered, and reshaped in formats that should be more accessible and useful for fellow researchers. Filtering primarily consisted of taking a series of datasets with different formats and updates at specific time periods and transformating them into a single data format, easily accessible and searchable. Data can be easily selected for only OES or only O*NET data points. All code and raw data are included. Additional included analysis demonstrates how to use interpolation to approximate missing values in the sparse data set to match against an O*NET variable of interest
O*NET, Economics, Jobs, Job Characteristics