Reproducibility

Equivalence Tests: A Practical Primer for t Tests, Correlations, and Meta-Analyses

Scientists should be able to provide support for the absence of a meaningful effect. Currently, researchers often incorrectly conclude an effect is absent based a nonsignificant result. A widely recommended approach within a frequentist framework is …

Evidence of insufficient quality of reporting in patent landscapes in the life sciences

Despite the importance of patent landscape analyses in the commercialization process for life science and healthcare technologies, the quality of reporting for patent landscapes published in academic journals is inadequate. Patents in the life …

Experimenter as automaton; experimenter as human: Exploring the position of the researcher in scientific research

The crisis of confidence in the social sciences has many corollaries which impact our research practices. One of these is a push towards maximal and mechanical objectivity in quantitative research. This stance is reinforced by major journals and …

Five selfish reasons to work reproducibly

And so, my fellow scientists: ask not what you can do for reproducibility; ask what reproducibility can do for you! Here, I present five reasons why working reproducibly pays off in the long run and is in the self-interest of every ambitious, …

Four simple recommendations to encourage best practices in research software

Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to …

From policy to practice: Lessons learned from an open science funding initiative

In the past few years, there has been a notable shift in the open science landscape as more countries and international agencies release recommendations and implementation guidelines for open scholarship. In August 2022, the US White House Office of …

General Principles of Preclinical Study Design

Preclinical studies using animals to study the potential of a therapeutic drug or strategy are important steps before translation to clinical trials. However, evidence has shown that poor quality in the design and conduct of these studies has not …

Genomics Workshop Overview

Workshop overview for the Data Carpentry genomics curriculum. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches …

Geospatial Workshop Overview

Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. Interested in teaching these materials? We have an onboarding video available to …

Getting Involved with TOP Factor

This webinar provides an overview of TOP Factor: its rationale, how it is being used, and how each of the TOP standards relate to individual scores. We also cover how to get involved with TOP Factor by inviting interested community members to suggest …