Reproducible Analyses

 

HeyUtils JSON Schema Validator

A free browser-based utility for checking JSON instances against JSON Schema. It supports Draft 7, 2019-09 and 2020-12, imports local reference files, shows validation errors with paths, offers optional format checking and exports a validation …

Deletion, erasure, and what the marker test can actually prove

This exploratory, AI-authored worked example separates what an experiment observes from what it can claim. Two Python controls show that fragmentation can lower raw byte-marker counts while a reconstructed payload retains its SHA-256 hash, and that …

Clusters

In order to teach Open and Reproducible Science effectively, educators need to make sense of almost a decade of literature, across several fields, and be informed about ongoing (and often dynamic) debates. This is a tall ask for most educators. So …

Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices

Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows …

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

The number of papers presenting machine learning (ML) models that are being submitted to and published in the Journal of Medical Internet Research and other JMIR Publications journals has steadily increased. Editors and peer reviewers involved in the …

Credible science course

Methods for efficient, reliable, and reproducible science This course is designed to bolster the work of early-career scientists, including first year graduate students, by providing them with guidance to create a precise and personalized pipeline …

Data Management for Psychological Science: A Crowdsourced Syllabus

Data management - including data preparation, cleaning, storage, and sharing - is critical to psychological research. Despite its importance, data management is rarely formally taught to students. This syllabus provides detailed descriptions of data …

DES RAP Book: Reproducible Discrete-Event Simulation in Python and R

Step-by-step guide for building Python and R simulation models as part of a reproducible analytical pipeline (RAP).

Establishing trust in automated reasoning

Since its beginnings in the 1940s, automated reasoning by computers has become a tool of ever growing importance in scientific research.So far, the rules underlying automated reasoning have mainly beenformulated by humans, in the form of program …

From pre-registration to publication: A non-technical primer for conducting a meta-analysis to synthesize correlational data

Meta-analysis synthesizes a body of research investigating a common research question. Outcomes from meta-analyses provide a more objective and transparent summary of a research area than traditional narrative reviews. Moreover, they are often used …
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