The role of health sciences libraries in supporting medical image consent standards survey documentation
Data files
Apr 03, 2024 version files 72.14 KB
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Cleaned_Data.xlsx
70.39 KB
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README.md
1.74 KB
Abstract
Objective: To determine if health sciences library workers were familiar with best practices regarding informed consent for the publication of medical images and if they incorporate the recommendations into their professional work.
Methods: A survey was developed by the authors and distributed to library listservs in the United States. The results of the survey were tabulated in R.
Results: A total of 90 respondents were included in the data analysis with all respondents reporting multiple responsibilities in their professional role. While the majority of library workers (59%) were familiar with the best practices, few incorporated the recommendations into their everyday professional work.
Conclusions: The professional work of health sciences library workers does not appear to include a significant inclusion of the best practices for the informed consent for the publication of medical images. There is a need for future research to better understand how library workers can better incorporate their knowledge of medical image publication consent standards into their work.
README: Survey data and code
https://doi.org/10.5061/dryad.vmcvdnd17
The cleaned survey results as well as the R code used to analyze the data is made available here.
Description of the data and file structure
Cleaned data.xlsx: This excel sheet contains the results of the survey conducted for our manuscript titled The Role of Health Sciences Libraries in Supporting Medical Image Consent Standards Survey. The research study was about informed consent standards for the publication of medical images. The survey participants were health sciences library workers. The survey participants were given the option to skip questions as well as stop the survey at any time. Based on their specific role in the library, questions were grouped into different sections. So, there will be missing values in the excel sheet either due to the role of the librarian or their decision to skip questions. The missing values have been taken into account in the analysis by considering each role separately.
Sharing/Access information
To be updated when article is published. Data did not come from any other source.
Code/Software
informed_consent_medicalimages_project.R: The code is written in R language and can be run using either the R command line or RStudio. The code reads in the data sheet of Cleaned data.xlsx and tabulates counts for the demographic information of the librarians. It also gives counts of whether each librarian in their respective roles (three different types were considered) would incorporate consent standards in their work. Based on the numbers, either a chi-square or Fisher’s exact test was run to see if the decision to implement depended on the librarian’s role.