five

Data Clustered By Library Type for The Impact of COVID-19 on Technical Services Units Survey Results

收藏
DataCite Commons2022-08-01 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/Data_Clustered_By_Library_Type_for_The_Impact_of_COVID-19_on_Technical_Services_Units_Survey_Results/20416098/1
下载链接
链接失效反馈
官方服务:
资源简介:
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, K-12 School, Special Collections and/or Archives, Other, and Blank responses). There is some duplication between files, as respondents were allowed to select more than one library type to represent the sometimes complicated governing structure within libraries. Note that these files also contain an additional cleaning steps to standardize numbers within the "How many full and part-time staff members (not student workers) were on your Technical Services team prior to the COVID-19 pandemic?" and "How many full and part-time staff members (not student workers) are on your technical services team now?" questions (Q6 and Q7). String text was removed from these fields, as well as incomplete responses (e.g. Indicating a before number but not an after number).
提供机构:
figshare
创建时间:
2022-08-01
二维码
社区交流群
二维码
科研交流群
商业服务