Open Science Examples

Welcome to the examples section of the handbook! This section is organized by scientific disciplines. We are actively collecting research projects that have implemented open science practices. Please feel free to open a pull request to include your work here. There are no restrictions on what can be added. We are seeking to share a diverse set of open science research projects.

For guidance on opening a pull request, please refer to our contributing guide or ask Franklin (GitHub: @franklin-feingold, Email: ffein@stanford.edu). Please feel free to ask Franklin any other questions you may have!

Psychological science

Inhibition-induced devaluation (Patrick Bissett et al.)

  • An example of a complete Python-based workflow for analyzing a cognitive psychology dataset

  • Open science components: Code Sharing, Data Sharing, Reproducible Analysis

  • Code and data: Github

Still suspicious: The suspicious coincidence effect revisited (Molly Lewis & Michael C. Frank)

  • An example of a set of pre-registered developmental psychology studies.

  • Open science components: Pre-registration, Code Sharing, Data Sharing, Reproducible Manuscript

  • Pre-registration: Open Science Framework

  • Code and data: Github

Neuroimaging Analysis Replication and Prediction Study (Botvinik-Nezer et al.)

Ensemble Tractography

The Ensemble Tractography share the code and data to reproduce the publication figures.

mrQ software

The mrQ software package shares the data and code to reproduce the quantitative map outputs.

A major human white-matter pathway between dorsal and ventral visual cortex

This project shares the code and data to reproduce the manuscript figures.

LiFE Demo

The LiFE demo shares the code and demo data.

Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex

This project shares the code and data to reproduce the manuscript figures.

Human brain diffusion-weighted MRI, fiber tractography and validation

This project shares the code and data.

Quantifying the local tissue volume and composition in individual brains with MRI

This project shares the code and data.

Magnetic Resonance Spectroscopy data for testing and examples of the Stanford CNI MRS Analysis Library (SMAL)

This project shares the data and analysis library.

Test-retest Diffusion MRI, measured at 1.5 mm isotropic resolution, b-value=2000 s/mm^2

This project shares the data and analysis library.

Social science

Stanford Open Policing Project

The Stanford Open Policing Project collects, standardizes, and publicly shares data on vehicle and pedestrian stops from law enforcement departments across the country. They have gathered over 200 million records from dozens of state and local police departments across the country.

  • Open science components: data sharing, code sharing, reproducible data analysis

  • Data: Project website

  • Code and data analysis: GitHub. The reproducible data analysis can be found on their GitHub by looking at their README.

Image Systems Engineering

Underwater Image Systems Simulation

The Underwater Image Systems Stimulation shares a collection of tools to closely simulate the appearance of underwater scenes in a variety of water conditions.

Computational Multispectral Flash

The Computational Multispectral Flash shares the data and Matlab implementation to investigate how an adjustable multispectral flash to modify the spectral illumination of a scene.

Designing illuminant spectral power distribution for surface classification

Designing illuminant spectral power distribution for surface classification shares the data and tools to estimate the optimal spectral power distribution of the illuminant.

Learning the Image Processing Pipeline

Learning the Image Processing Pipeline shares the data and tools to show how the method has been used to design pipelines for novel sensor architectures in consumer photography applications.

Simultaneous surface reflectance and fluorescence

Simultaneous surface reflectance and fluorescence shares the data and toolbox to illustrate how to jointly estimate the reflectance and fluorescence from a single set of images acquired under multiple illuminants.