Including Data Management in Research Culture Increases the Reproducibility of Scientific Results

General Information:

This dataset contains artifacts related to Riedel et al. (2022) (https://dx.doi.org/10.18420/inf2022_114). Here, we investigate the reproducibility of 108 research papers published between 2017 and 2021 by members of the Collaborative Research Center 1294 – Data Assimilation. To that end, we relate to a previous study by Stagge et al. (2019) that relies on a questionnaire that we extended. 

The publication by Stagge et al. (2019) is available here: https://doi.org/10.5281/zenodo.2562268
The dataset by Stagge et al. (2019) is available here: https://doi.org/10.1038/sdata.2019.30

This dataset contains the questionnaire that we used to evaluate the reproducibility of scientific publications,  a csv file containing the questionnaire’s answers, and a Jupyter notebook script to evaluate the given data.

Run the code:

To run the code, you must install Anaconda [1] and then open the jupyter notebook. All necessary libraries are listed in "requirement.txt". 

Alternatively, you can import the .ipyab file in the colab [2] and run it. 

[1]. https://www.anaconda.com/
[2]. https://research.google.com/colaboratory/