Lab Manual for Jade Benjamin-Chung’s Lab

This is a lab manual for students and staff working with Jade Benjamin-Chung at Stanford University. Its goal is to support collaborative, transparent, and reproducible workflows and it contains guidance on tools and good practices in communications, coding, version control, and data sharing, among others. It also features an internal replication process…


ResearchBox offers an easy way to share and access scientific content, such as data, code, pre-registrations, and study materials. Uploaded files are organized into “Bingo Tables” that allow readers to easily find & access available files (e.g., Among many features, ResearchBox provides: One-click downloads Instantaneous file-previews Codebooks for every dataset Integration…

Introduction to R (teaching materials)

Fabio Votta (University of Stuttgart) shared teaching materials for an “Introduction to R” course, including slides, R basics script, and tidyverse script.  

Open Research Calendar

Open Research Calendar is an open-source community tool that collates information on worldwide events related to open science and research.

Development Research in Practice : The DIME Analytics Data Handbook

“Development Research in Practice” leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data on how to handle data effectively, efficiently,…

An Introduction to Open Science

This presentation by Felix Schönbrodt gives an overview of the motivation for open science and an introduction to the research tools and practices commonly associated with open science. The slides are can be re-used and distributed under the CC BY license.

Reproducible Data Science with Python

Written by Valentin Danchev, “Reproducible Data Science with Python” is a textbook that uses real-world social data sets related to the COVID-19 pandemic to provide an accessible introduction to open, reproducible, and ethical data analysis using hands-on Python coding, modern open-source computational tools, and data science techniques. Topics include open reproducible research…

Framework for Open and Reproducible Research Training (FORRT)

FORRT is a pedagogical infrastructure designed to recognize and support the teaching and mentoring of open and reproducible science tenets in tandem with prototypical subject matters in higher education. FORRT also advocates for the opening of teaching and mentoring materials as a means to facilitate access, discovery, and learning to those who…

Data Sharing and Replication

Find slides from a presentation by Garret Christensen titled “Data Sharing and Replication: Enabling Reproducible Research”.

Analysis Plans in Economics

Find slides from a presentation by Benjamin Olken titled “Analysis Plans in Economics”.

Data Adaptive Pre-Specification

Find slides from a presentation by Maya Petersen titled “Data Adaptive Pre-Specification for Experimental and Observational Data”.

Perspectives from Biomedical Research

Find slides from a presentation by Maya Petersen titled “Pre-Registration, Pre-analysis, and Transparent Reporting: Perspectives from biomedical research”.

Protocols That Work

Find slides from a presentation by Nick Adams titled “Protocols That Work”.

How to write a Pre-Analysis Plan

Find slides from a presentation by Dalson Figueiredo and Lucas Silva titled “How to write a Pre-Analysis Plan”.

Pre-Analysis Plans (French)

Find slides from a presentation by Zachary Tsala Dimbuene titled “Pre-Analysis Plans (French)”.

Drafting RTR Guidelines

Find slides from a presentation by Arnaud Vaganay titled “Drafting RTR Guidelines”.

Gates Open Research

Find slides from a presentation by the Center for Effective Global Action (CEGA) titled “Gates Open Research”.

Open Science Success Stories

The Open Research Funders Group curates the Open Science Success Stories, a database of examples of how openness has benefited researchers and broader society.

Data Citations module

Created by the Federal Reserve Bank of St. Louis, this module introduces students to the key elements of data citations. See also related modules for Data Literacy.

Handbook on Using Administrative Data for Research and Evidence-Based Policy

Co-edited by Shawn Cole, Iqbal Dhaliwal, Anja Sautmann, and Lars Vilhuber and published by J-PAL’s Innovations in Data and Experiments for Action Initiative (IDEA), this handbook includes case studies of large-scale randomized evaluations using private and national government administrative data, and technical guidance to support partnerships with governments, nonprofits, or firms to…

Survey of Registered Reports Editors

Between December 15, 2017 and January 31, 2018, BITSS surveyed the editors of 76 academic journals which at the time, accepted submissions in the Registered Report (RR) format. Find summary statistics of the results in this document.

CRediT (Contributor Roles Taxonomy)

CRediT (Contributor Roles Taxonomy) is high-level taxonomy, including 14 roles, that can be used to represent the roles typically played by contributors to scientific scholarly output. The roles describe each contributor’s specific contribution to the scholarly output.