Reproducibility

Catalyzing communities of research rigour champions

The biomedical sciences must maintain and enhance a research culture that prioritizes rigour and transparency. The US National Institute of Neurological Disorders and Stroke convened a workshop entitled ‘Catalyzing Communities of Research Rigor …

COMPare: a prospective cohort study correcting and monitoring 58 misreported trials in real time

Discrepancies between pre-specified and reported outcomes are an important source of bias in trials. Despite legislation, guidelines and public commitments on correct reporting from journals, outcome misreporting continues to be prevalent. We aimed …

Connecting Research Tools to the Open Science Framework (OSF)

This webinar (recorded Sept. 27, 2017) introduces how to connect other services as add-ons to projects on the Open Science Framework (OSF; https://osf.io). Connecting services to your OSF projects via add-ons enables you to pull together the …

Consequences of Low Statistical Power

This video will go over three issues that can arise when scientific studies have low statistical power. All materials shown in the video, as well as the content from our other videos, can be found here: https://osf.io/7gqsi/

COS Registered Reports Portal

Registered Reports: Peer review before results are known to align scientific values and practices. Registered Reports is a publishing format used by over 250 journals that emphasizes the importance of the research question and the quality of …

Curate Science

Curate Science is a unified curation system and platform to verify that research is transparent and credible. It will allow researchers, journals, universities, funders, teachers, journalists, and the general public to ensure:- Transparency: Ensure …

Data Analysis and Visualization in Python for Ecologists

Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be …

Data Analysis and Visualization in R for Ecologists

Data Carpentry lesson from Ecology curriculum to learn how to analyse and visualise ecological data in R. 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 …

Data Analysis and Visualization with Python for Social Scientists

Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be …

Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition

Access to data is a critical feature of an efficient, progressive and ultimately self-correcting scientific ecosystem. But the extent to which in-principle benefits of data sharing are realized in practice is unclear. Crucially, it is largely unknown …