Reproducible Analyses

 

Evaluation of Transparency and Openness Guidelines in Physical Therapy Journals

Objective The goals of this study were to evaluate the extent that physical therapy journals support open science research practices by adhering to the Transparency and Openness Promotion guidelines and to assess the relationship between journal …

Guidelines for Evaluating the Comparability of Down-Sampled GWAS Summary Statistics

Proprietary genetic datasets are valuable for boosting the statistical power of genome-wide association studies (GWASs), but their use can restrict investigators from publicly sharing the resulting summary statistics. Although researchers can resort …

Open hardware in microscopy

The field of microscopy has been empowering humankind for many centuries by enabling the observation of objects that are otherwise too small to detect for the naked human eye. Microscopy techniques can be loosely divided into three main branches, …

SnapShot: Reporting practices for publishing results with human PSCs and tissue stem cells

This checklist is intended to help scientists, reviewers, and editors prepare and assess manuscripts for inclusion of critical details relevant to work with pluripotent stem cells (PSCs) and tissue stem cells (TSCs) with the goal of increasing the …

ePlatypus: an ecosystem for computational analysis of immunogenomics data

Motivation The maturation of systems immunology methodologies requires novel and transparent computational frameworks capable of integrating diverse data modalities in a reproducible manner. Results Here, we present the ePlatypus computational …

A primer for choosing, designing and evaluating registered reports for qualitative methods

Registered reports are a publication format that involves peer reviewing studies both before and after carrying out research procedures. Although registered reports were originally developed to combat challenges in quantitative and confirmatory study …

Introduction to Open Science principles and practices (in Health Economics)

This series of lecture slides were used during the "Advanced Simulation for Health Economic Analysis" course at the University of Twente, which took place in February - May 2023. The following Open Science topics were introduced to the course …

Analytical code sharing practices in biomedical research

Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, …

10 Things for Curating Reproducible and FAIR Research

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 …

Programming Psychological Experiments using python and OpenSesame

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