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Open Science Monitor

Information and mock data repository for Utrecht University's Open Science Monitor.


Background and pre-registration

This project was started by the Open Science Programme of Utrecht University. With the Open Science Monitor, the university aims to gain insight into what can be done to facilitate and support Open Science among academics at Utrecht University and University Medical Center Utrecht. The survey contains questions about awareness, attitudes and behaviors regarding several Open Science practices, as well as questions about the opportunities and barriers in carrying out those practices.

The pre-registration of the Open Science Monitor can be found on AsPredicted and on Zenodo (pre-registration DOI: 10.5281/zenodo.5727107).

The report for the Open Science Monitor 2020 can be found on Zenodo (report DOI: 10.5281/zenodo.5725178).

Data use

The Open Science Monitor is licensed under a Creative Commons Attribution 4.0 International License. The respondent data is stored and documented on Utrecht University's research data management service YODA, but cannot be shared publicly. Therefore, mock data is made available for the Open Science Monitor 2022, see the Contents section below.

Creative Commons License

Analysis requests

The main analyses of the Open Science Monitor 2022 have been performed using SPSS (v.28). The corresponding syntax files can be found in the Analyses folder, see the Contents section below.

If you would like to suggest secondary analyses for the Open Science Monitor 2022 data, please develop an analysis pipeline or syntax file that is compatible with the mock data in this repository. The mock data and codebooks can be found in the Data folder, see the Contents section below. Preferably, use R, JASP, or SPSS in these analysis requests.

Data analysis requests can be made through GitHub Issues.

Contents

This repository is structured as follows:

Folders Contents
2022
Analyses
OBP analyses Analysis syntax (support staff survey)
WP analyses Analysis syntax (academic personnel survey)
Data
OBP codebook Data description (support staff survey)
OBP mock data Data for analysis requests (support staff survey)
WP codebook Data description (academic personnel survey)
WP mock data Data for analysis requests (academic personnel survey)
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