Resources

10 Things for Curating Reproducible and FAIR Research (CURE-FAIR) provides standards-based guidelines to follow CURE-FAIR best practices with regards to publishing and archiving computationally reproducible studies, including the associated …

The Open Science movement is rapidly changing the scientific landscape. Because exact definitions are often lacking and reforms are constantly evolving, accessible guides to open science are needed. This paper provides an introduction to open science …

This webinar will introduce the concept of version control and the version control features that are built into the Open Science Framework (OSF; https://osf.io). The OSF is a free, open source web application built to help researchers manage their …

In this webinar, a panel discusses licensing options, fundamentals in choosing a license for your research, and answers questions about licensing scholarship. The panel consists of moderator Joanna Schimizzi, Professional Learning Specialist at the …

Using this material, you can learn how to code in python, build experiments using OpenSesame, and do basic data preprocessing in python.

Replicating published studies promotes active learning of quantitative research skills. Drawing on experiences from a replication course, we provide practical tips and reflections for teachers who consider incorporating replication in their courses. …

This repository provides resources for faculty and academic units to re-imagine faculty rewards and incentives, and in particular how faculty are evaluated for promotion and tenure, with the goal of maximizing inclusivity in science by changing how …

As part of its mission, QDR promotes the pedagogical use of published qualitative and multi-method data projects. Shared qualitative data can play a crucial role for both substantive and methods teaching. Below is a non-exhaustive list of projects we …

This course coversa range of approachesthat aim to enhance the transparency and reproducibility of social science research. It is appropriate for Ph.D. students in social science disciplines and related fields.

Reprodutibilidade e replicabilidade de estudos científicos. Randomização, cegamento, planejamento amostral e pré-registro de projeto. Diferença entre estudos exploratórios e confirmatórios, P hacking, HARKing e double dipping. Práticas de …