Data Clustered By Library Type 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, clustered by library type, 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 the cleaning and standardization conducted on the raw dataset retrieved from survey responses, and then cluster the data into specific library type files. All files reflect the removal of data auto-generated by Qualtrics (such as survey start/stop times), blank rows, survey responses not completed after question four (the first section of survey questions), and non-United States responses. Survey respondents were asked to identify their library type (Academic, Public,' . 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, clustered by library type, 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 the cleaning and standardization conducted on the raw dataset retrieved from survey responses, and then cluster the data into specific library type files. All files reflect the removal of data auto-generated by Qualtrics (such as survey start/stop times), blank rows, survey responses not completed after question four (the first section of survey questions), and non-United States responses. Survey respondents were asked to identify their library type (Academic, Public,' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These datasets, clustered by library type, 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 the cleaning and standardization conducted on the raw dataset retrieved from survey responses, and then cluster the data into specific library type files. All files reflect the removal of data auto-generated by Qualtrics (such as survey start/stop times), blank rows, survey responses not completed after question four (the first section of survey questions), and non-United States responses. Survey respondents were asked to identify their library type (Academic, Public,
COVID-19 Pandemic, 2020-; COVID-19 Pandemic, 2020---Influence; Library research; Technical services (Libraries)