Analyzed Data for The Impact of COVID-19 on Technical Services Units Survey Results
<|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:'These datasets contain cleaned data survey results from the October 2021-January 2022 survey titled 'The Impact of COVID-19 on Technical Services Units'. This data was gathered from a Qualtrics survey, which was anonymized to prevent Qualtrics from gathering identifiable information from respondents. These specific iterations of data reflect cleaning and standardization so that data can be analyzed using Python. Ultimately, the three files reflect the removal of survey begin/end times, other data auto-recorded by Qualtrics, blank rows, blank responses after question four (the first section of the survey), and non-United States responses.Note that State names for 'What state is your library located in?' (Q36) were also standardized beginning in Impact_of_COVID_on_Tech_Services_Clean_3.csv to aid in data analysis. In this step, state ' . 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" : ["COVID-19 Pandemic, 2020-","COVID-19 Pandemic, 2020---Influence","Library research","Technical services (Libraries)"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These datasets contain cleaned data survey results from the October 2021-January 2022 survey titled 'The Impact of COVID-19 on Technical Services Units'. This data was gathered from a Qualtrics survey, which was anonymized to prevent Qualtrics from gathering identifiable information from respondents. These specific iterations of data reflect cleaning and standardization so that data can be analyzed using Python. Ultimately, the three files reflect the removal of survey begin/end times, other data auto-recorded by Qualtrics, blank rows, blank responses after question four (the first section of the survey), and non-United States responses.Note that State names for 'What state is your library located in?' (Q36) were also standardized beginning in Impact_of_COVID_on_Tech_Services_Clean_3.csv to aid in data analysis. In this step, state ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These datasets contain cleaned data survey results from the October 2021-January 2022 survey titled 'The Impact of COVID-19 on Technical Services Units'. This data was gathered from a Qualtrics survey, which was anonymized to prevent Qualtrics from gathering identifiable information from respondents. These specific iterations of data reflect cleaning and standardization so that data can be analyzed using Python. Ultimately, the three files reflect the removal of survey begin/end times, other data auto-recorded by Qualtrics, blank rows, blank responses after question four (the first section of the survey), and non-United States responses.Note that State names for 'What state is your library located in?' (Q36) were also standardized beginning in Impact_of_COVID_on_Tech_Services_Clean_3.csv to aid in data analysis. In this step, state 
COVID-19 Pandemic, 2020-; COVID-19 Pandemic, 2020---Influence; Library research; Technical services (Libraries)