Reproducible Analyses

 

Multiscale modeling in the framework of biological systems and its potential for spaceflight biology studies

A central tenet of systems biology is that biological systems are greater than the sum of their component parts. Spaceflight is associated with hazards including radiation exposure and microgravity which impact different echelons of biological …

Rethinking Transparency and Rigor from a Qualitative Open Science Perspective

Discussions around transparency in open science focus primarily on sharing data, materials, and coding schemes, especially as these practices relate to reproducibility. This fairly quantitative perspective of transparency does not align with all …

The Open Science Training Handbook

A group of fourteen authors came together in February 2018 at the TIB (German National Library of Science and Technology) in Hannover to create an open, living handbook on Open Science training. High-quality trainings are fundamental when aiming at a …

Advancing data honesty in experimental biology

The ease with which scientific data, particularly certain types of raw data in experimental biology, can be fabricated without trace begs urgent attention. This is thought to be a widespread problem across the academic world, where published results …

All is well that replicates well: The replicability of reported moderation and interaction effects in leading organizational sciences journals.

We examine 244 independent tests of interaction effects published in recent issues of four leading journals in the organizational sciences in order to estimate the replicability of reported statistically significant interaction effects. A z-curve …

Minimizing Variability in Developmental Fear Studies in Mice: Toward Improved Replicability in the Field

In rodents, the first weeks of postnatal life feature remarkable changes in fear memory acquisition, retention, extinction, and discrimination. Early development is also marked by profound changes in brain circuits underlying fear memory processing, …

Nature earns ire over lack of code availability for Google DeepMind protein folding paper

A group of researchers is taking Nature to task for publishing a paper earlier this month about Google DeepMind’s protein folding prediction program without requiring the authors publish the code behind the work.

The State of Play of Reproducibility in Statistics: An Empirical Analysis

Reproducibility, the ability to reproduce the results of published papers or studies using their computer code and data, is a cornerstone of reliable scientific methodology. Studies where results cannot be reproduced by the scientific community …

ZooTraits: An R shiny app for exploring animal trait data for ecological and evolutionary research

Animal trait data are scattered across several datasets, making it challenging to compile and compare trait information across different groups. For plants, the TRY database has been an unwavering success for those ecologists interested in addressing …

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was …
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