Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/utrechtuniversity/dataprivacysurvey

Code for analysing data from the Data Privacy Survey (2022)
https://github.com/utrechtuniversity/dataprivacysurvey

data gdpr open-science privacy rdm research research-data-management survey utrecht-university

Last synced: about 1 month ago
JSON representation

Code for analysing data from the Data Privacy Survey (2022)

Awesome Lists containing this project

README

        

[![DOI](https://zenodo.org/badge/480716989.svg)](https://zenodo.org/badge/latestdoi/480716989)

# Data Privacy Survey

## About
In the second quarter of 2022, Utrecht University (UU) Research Data Management
Support (RDM Support) sent out a survey among all scientific personnel at Utrecht
University, and organised one-on-one meetings with a selection of them. The aim
of these efforts was to investigate 1) How UU researchers currently deal with
personal data in their research, 2) What challenges they run into when handling
personal data in research, and 3) How support at UU can improve their services
concerning personal data in research.

The survey and one-on-one meetings were part of the
Data Privacy Project,
an RDM Support project to improve information, tools and services surrounding
personal data in research.

Results report
Recommendations report

## This repository

This repository contains the documentation, code, fake survey data and the two
reports written about the survey.

**Documentation** can be found in the `documentation` folder of this repository.
It contains:

- The full survey
in text and
as Qualtrics export.
- The survey's privacy statement.
- The survey's Data Management Plan.
- The invitation sent out to researchers to meet one-on-one.
- The codes used to score open text responses and meeting notes.
- A codebook of the online survey in .csv format.

**Code** can be found in the
src folder
of this repository:

- `pseudonymise-data.R` reads in the raw data and cleans it up to create a
pseudonymised version. It writes the pseudonymised data into the `data/pseud` folder
(not publicly available). If the cleaned dataset passes the (limited) k-anonymity
checks, it is written to the `data/processed` folder instead.
- `plot-data.R` contains all code needed to create the Results report.
- `create-codebook.R` contains code to create the codebook.
- `data-privacy-survey-report.Rmd` is the file underlying the published Results
report. It loads the `plot-data.R` script to create all visualisations.
- `data-privacy-survey-recommendations.Rmd` is the file underlying the
Recommendations report.

As the **dataset** contains personal information (demographic information, open text
responses, email addresses, etc.), and no consent was obtained to share those
details, we are unable to share the dataset in this repository. Instead, we
created fake data files,
which can be used to reproduce the Results report.

The two **reports** written about the survey are the following:

- The Results report describes
the methodology and full results, both for the entire Utrecht University as well
as the separate faculties.
- The Recommendations report
summarises the results and provides Recommendations to improve privacy-related
support for Utrecht University researchers.

## Contact and contribution

For questions about this repository, please contact Utrecht University's Research Data Management Support, or open an Issue or Pull request in this repository.

## License and citation

This repository is licensed under a CC BY 4.0 license. You can view the license text here.

When using materials from this repository, please cite us as specified in https://doi.org/10.5281/zenodo.7253451.