open-neurocode

This website lists code and data repositories for publications of the Max Planck Reseach Group NeuroCode at the Max Planck Institute for Human Development, Berlin. The source repository can be found on GitHub.

Please note that this website is still under construction! 🏗 🚧 👷‍♂️

The data and code might be incomplete or erroneous. If you notice any errors or have suggestions for improvements, please either open an issue or contact Lennart Wittkuhn. You can also review the data and all of the source code in this GitHub repository. Thank you!

Overview

The table below gives an overview over all publications (sorted by year and author). The listed papers have a least one author who is affiliated with the NeuroCode group. In most cases, this is at least the PI Nico Schuck. Please note that this list might be incomplete.

Prevalence

How often are code and data shared?

The data are separated by paper_status and paper_type.

paper_status refers to the publication status of the paper, i.e., whether the paper is a peer-reviewed journal article or preprint.

paper_type refers to the type of research, i.e., whether the paper reports empirical work (where data was collected and / or analyzed), a literature review or software.

Show the code

ggplot(data = data, aes(x = category, fill = category, color = category)) +
  geom_bar(position = "dodge", stat = "count") +
  geom_text(stat = "count", aes(label = ..count..), vjust = 1.5, color = "white") +
  facet_grid(vars(paper_type), vars(paper_status)) +
  ylab("Number") +
  xlab("Repository content") +
  theme(axis.line = element_line(color = "black")) +
  theme(axis.text = element_text(colour = "black")) +
  theme(panel.grid.major = element_blank()) +
  theme(panel.grid.minor = element_blank()) +
  theme(panel.background = element_blank()) +
  theme(legend.position = "none") +
  scale_fill_viridis_d(option = "viridis") +
  scale_color_viridis_d(option = "viridis")

Repositories

The plots in this section include all papers that mention an associated repository (including literature reviews and preprints).

Content

What’s inside the repositories?

Categories are: code only, data only and code & data (code and data are shared in one repository).

Show the code

dt_repo = data %>%
  .[repo != "n/a", ]
ggplot(dt_repo, aes(x = category, fill = category, color = category)) +
  geom_bar(position = "dodge", stat = "count") +
  geom_text(stat = "count", aes(label = ..count..), vjust = 1.5, color = "white") +
  ylab("Number") +
  xlab("Repository content") +
  theme(axis.line = element_line(color = "black")) +
  theme(axis.text = element_text(colour = "black")) +
  theme(panel.grid.major = element_blank()) +
  theme(panel.grid.minor = element_blank()) +
  theme(panel.background = element_blank()) +
  theme(legend.position = "none") +
  scale_fill_viridis_d(option = "viridis") +
  scale_color_viridis_d(option = "viridis")

Platform

Which platforms are used to share code and data?

Show the code

ggplot(dt_repo, aes(x = repo_label, fill = repo_label, color = repo_label)) +
  geom_bar(position = "dodge", stat = "count") +
  geom_text(stat = "count", aes(label = ..count..), vjust = 1.5, color = "white") +
  ylab("Number") +
  xlab("Repository platform") +
  theme(axis.line = element_line(color = "black")) +
  theme(axis.text = element_text(colour = "black")) +
  theme(panel.grid.major = element_blank()) +
  theme(panel.grid.minor = element_blank()) +
  theme(panel.background = element_blank()) +
  theme(legend.position = "none") +
  scale_fill_viridis_d(option = "plasma") +
  scale_color_viridis_d(option = "plasma")

License

Which licenses are used when sharing code and data?

Show the code

ggplot(dt_repo, aes(x = repo_license, fill = repo_license, color = repo_license)) +
  geom_bar(position = "dodge", stat = "count") +
  geom_text(stat = "count", aes(label = ..count..), vjust = 1.5, color = "white") +
  ylab("Number") +
  xlab("Repository license") +
  theme(axis.line = element_line(color = "black")) +
  theme(axis.text = element_text(colour = "black")) +
  theme(panel.grid.major = element_blank()) +
  theme(panel.grid.minor = element_blank()) +
  theme(panel.background = element_blank()) +
  theme(legend.position = "none") +
  scale_fill_viridis_d(option = "plasma") +
  scale_color_viridis_d(option = "plasma")

Resources 📚

„Licensing“ chapter of the Turing Way

Open Access

How many papers are open access?

The plot involves all papers (including review articles and preprints).

Show the code

ggplot(data, aes(x = paper_oa, fill = paper_oa, color = paper_oa)) +
  geom_bar(position = "dodge", stat = "count") +
  geom_text(stat = "count", aes(label = ..count..), vjust = 1.5, color = "white") +
  ylab("Number") +
  xlab("Is the paper open access?") +
  theme(axis.line = element_line(color = "black")) +
  theme(axis.text = element_text(colour = "black")) +
  theme(panel.grid.major = element_blank()) +
  theme(panel.grid.minor = element_blank()) +
  theme(panel.background = element_blank()) +
  theme(legend.position = "none") +
  scale_fill_viridis_d(option = "turbo") +
  scale_color_viridis_d(option = "turbo")