SDR 2.0 Cotton File: Cumulative List of Variables in the Surveys of the SDR Database
<|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:'SDR 2.0 Cotton File: Cumulative List of Variables in the Surveys of the SDR Database is a comprehensive data dictionary, in Microsoft Excel format. Its main purpose is to facilitate the overview of 88118 variables (i.e. variable names, values, and labels) available in the original (source) data files that we retrieved automatically for harmonization purposes in the SDR Project. Information in the Cotton File comes from 215 source data files that comprise ca. 3500 national surveys administered between 1966 and 2017 in 169 countries or territories, as part of 23 international survey projects' . 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" : ["data harmonization","data recycling","micro level survey data","survey research methodology"]} <|eot_id|>
 Here is the Description of a dataset. Description:'SDR 2.0 Cotton File: Cumulative List of Variables in the Surveys of the SDR Database is a comprehensive data dictionary, in Microsoft Excel format. Its main purpose is to facilitate the overview of 88118 variables (i.e. variable names, values, and labels) available in the original (source) data files that we retrieved automatically for harmonization purposes in the SDR Project. Information in the Cotton File comes from 215 source data files that comprise ca. 3500 national surveys administered between 1966 and 2017 in 169 countries or territories, as part of 23 international survey projects' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
SDR 2.0 Cotton File: Cumulative List of Variables in the Surveys of the SDR Database is a comprehensive data dictionary, in Microsoft Excel format. Its main purpose is to facilitate the overview of 88118 variables (i.e. variable names, values, and labels) available in the original (source) data files that we retrieved automatically for harmonization purposes in the SDR Project. Information in the Cotton File comes from 215 source data files that comprise ca. 3500 national surveys administered between 1966 and 2017 in 169 countries or territories, as part of 23 international survey projects
data harmonization; data recycling; micro level survey data; survey research methodology