This dataverse contains the raw and cleaned data for Elizabeth Szkirpan's research project into the measurable impact of COVID-19 on United States library technical services units. Files used for data analysis, as well as the Python scripts for data investigation, are all available within this repository.
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11 to 20 of 20 Results
Tabular Data - 212.9 KB - 38 Variables, 238 Observations - UNF:6:57RnHR1LkmOZKgUuQTaHew==
This CSV file, containing 238 responses, reflects responses from "The Impact of COVID-19 on Technical Services Units" Survey, clustered by library type. This specific dataset contains responses from libraries indicating their library type as "Public".
Tabular Data - 33.9 KB - 38 Variables, 34 Observations - UNF:6:2dPcVrRmnJoARFiIUR8B/g==
This CSV file, containing 34 responses, reflects responses from "The Impact of COVID-19 on Technical Services Units" Survey, clustered by library type. This specific dataset contains responses from libraries indicating their library type as "Special Collections and/or Archive".
Mar 21, 2022
Szkirpan, Elizabeth, 2022, "Analyzed Data for The Impact of COVID-19 on Technical Services Units Survey Results", https://doi.org/10.7910/DVN/DGBUV7, Harvard Dataverse, V1, UNF:6:h/D0IbSji7QTX6EU+efDcw== [fileUNF]
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 cleani...
Tabular Data - 621.0 KB - 38 Variables, 760 Observations - UNF:6:5WyHiDR7fAhyZJO1AmWyRw==
A CSV version of the cleaned dataset reassigning Q-numbers (question numbers) and the actual survey questions. Qualtrics auto-assigns Q-numbers during the survey creation and this data cleaning step re-indexed the Q-numbers so they could be referenced during analysis by something other than the actual survey question.
Tabular Data - 616.2 KB - 38 Variables, 759 Observations - UNF:6:jjDjuVDdK1gLlpMibPE4Gw==
A CSV version of the cleaned dataset reflecting the removing of the actual survey questions to help streamline the data analysis process. This version of the file relies on Impact_of_COVID_on_Tech_Services_Clean_1.csv to help tie the questions and Q-numbers together.
Tabular Data - 599.9 KB - 38 Variables, 662 Observations - UNF:6:Uh5CzHckRDBtJYTL5jo8DQ==
A CSV version of the cleaned dataset reflecting the use of Q-numbers as an indexing system, as well as the removal of all blank rows (no responses), rows that did not respond to the survey questions after question four (the first section of the survey), and removal of survey responses from outside of the United States. This is the version of the...
Mar 21, 2022
Szkirpan, Elizabeth, 2022, "Cleaned Data for The Impact of COVID-19 on Technical Services Units Survey Results", https://doi.org/10.7910/DVN/BMHGPY, Harvard Dataverse, V1, UNF:6:rb49vUwWwH9BlsmFYgyxsA== [fileUNF]
This dataset contains the 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. The specific iteration of this data reflects...
Tabular Data - 629.9 KB - 38 Variables, 831 Observations - UNF:6:rb49vUwWwH9BlsmFYgyxsA==
This file contains 832 total rows of data, including three header rows that include the survey questions, from the October 2021-January 2022 survey titled "The Impact of COVID-19 on Technical Services Units". The file format is a CSV.
Mar 21, 2022
Szkirpan, Elizabeth, 2022, "Raw Data for The Impact of COVID-19 on Technical Services Units Survey Results", https://doi.org/10.7910/DVN/ASTFMH, Harvard Dataverse, V1, UNF:6:c01j5Yb5Nn/mSa19CfBFfg== [fileUNF]
This dataset contains the raw 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. The specific iteration of this data does not refl...
Tabular Data - 750.6 KB - 49 Variables, 831 Observations - UNF:6:c01j5Yb5Nn/mSa19CfBFfg==
This file contains 832 total rows of data, including three header rows that include the survey questions, from the October 2021-January 2022 survey titled "The Impact of COVID-19 on Technical Services Units". The file format is a CSV.
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