awesome-reproducible-research

Pragmatic RR for Analysis, Dissemination and Publication

Roger Peng et al JHU. Very popular course.

John Quacken et al Harvard

Reproducible Research in R workshop tutorial

An open science and reproducible research course targeted at organismal ecologists

Transparent, Open, and Reproducible Research Practices in the Social and Behavioral Sciences

Benchmarks are a related aspect of robustness testing

Everything related to the Docker containerization system

Jupyter projects, libraries and resources

Resources, data, tools, and scholarship

So many pipelines frameworks

A topic-centric list of HQ open datasets

a lightweight, "black box" flight recorder for bioinformatics experiments

packages relevant to RCR in R

persistent reproducible reporting through containerized R Markdown documents

R package that automates writing reproducible analyses

provenance framework package

a set of software development practices that create an independently-verifiable path from source to binary code

BCO specs

Certification Agency for Scientific Code and Data. Issues reproducibility certificates.

community for checking executability of scientific preprints and papers

Framework for Open and Reproducible Research Training advancing research transparency, reproducibility, rigor, and ethics through pedagogical reform and meta-scientific research

online platform designed to collect and share information on the provenance and availability of the data for all articles co-authored by Francesca Gino

660 biomedical ontologies

standards, databases, and policies

A gallery of cloud-based containers with reproducible analyses

Gallery of interesting Jupyter notebooks

Code related to Neuroimaging Analysis Replication and Prediction Study

ML papers with code

12M+ DOIs registered for 46 allocators. Offers APIs and a metadata schema.

curated, metadata-centric, focused on articles associated with published artices, $120 submission fee (various waivers available)

20 GB of free private space, unlimited public space, >2M articles, >5k projects

Allows embargoed, restricted access, metadata support. 50GB limit.

Git-based versioning for data and provenance

DVC tracks machine learning models and data sets

Tools for preparing, publishing and downloading datasets from research data repositories directly into computing environments. It provides integration with

Pre-Registered ML Manifest specification (CC BY 4.0). SHA-256 commits an evaluation claim — metric, comparator, threshold, dataset hash, seed — before the experiment runs; forward-only

Portal, query interface, visualization and schema framework that powers ICGC, KFDC, GDC