Data

P values in display items are ubiquitous and almost invariably significant: A survey of top science journals

P values represent a widely used, but pervasively misunderstood and fiercely contested method of scientific inference. Display items, such as figures and tables, often containing the main results, are an important source of P values. We conducted a …

Peer Review: Decisions, decisions

Journals are exploring new approaches to peer review in order to reduce bias, increase transparency and respond to author preferences. Funders are also getting involved. If you start reading about the subject of peer review, it won't be long before …

Plotting and Programming in Python

This lesson is part of Software Carpentry workshops and teach an introduction to plotting and programming using python. This lesson is an introduction to programming in Python for people with little or no previous programming experience. It uses …

Poor replication validity of biomedical association studies reported by newspapers

Objective To investigate the replication validity of biomedical association studies covered by newspapers. Methods We used a database of 4723 primary studies included in 306 meta-analysis articles. These studies associated a risk factor with a …

Poor statistical reporting, inadequate data presentation and spin persist despite editorial advice

The Journal of Physiology and British Journal of Pharmacology jointly published an editorial series in 2011 to improve standards in statistical reporting and data analysis. It is not known whether reporting practices changed in response to the …

Pre-results Review in Economics: Lessons Learned from Setting up Registered Reports

Hear from Andrew Foster, editor at the Journal of Development Economics, and Irenaeus Wolff, a guest editor for Experimental Economics, as they discuss their experiences with implementing the Registered Reports format, how it was received by authors, …

Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders

The Pandemic of COVID-19, an infectious disease caused by SARS-CoV-2 motivated the scientific community to work together in order to gather, organize, process and distribute data on the novel biomedical hazard. Here, we analyzed how the scientific …

Preparing code and data for computationally reproducible collaboration and publication: a hands-on workshop

Computational analyses are playing an increasingly central role in research. Journals, funders, and researchers are calling for published research to include associated data and code. However, many involved in research have not received training in …

Preregistration: Improve Research Rigor, Reduce Bias

In this webinar Professor Brian Nosek, Executive Director of the Center for Open Science (https://cos.io), outlines the practice of Preregistration and how it can aid in increasing the rigor and reproducibility of research. The webinar is co-hosted …

Presentations Given by Center for Open Science

A collection of slides for virtually all presentations given by Center for Open Science staff since its founding in 2013.