Resource Library

The BITSS Resource Library contains resources for learning, teaching, and practicing research transparency and reproducibility, including curricula, slide decks, books, guidelines, templates, software, and other tools. All resources are categorized by i) topic, ii) type, and iii) discipline. Filter results by applying criteria along these parameters or use the search bar to find what you’re looking for.

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16 Results

IEEE DataPort Data Repositories+

IEEE DataPort is a universally accessible data platform that enables users to store, share, access, analyze and manage datasets from across all research disciplines. IEEE DataPort supports Open Data and provides a hosting platform for Data Competitions.

Open Research Calendar Data Management+

Open Research Calendar is an open-source community tool that collates information on worldwide events related to open science and research.

Catalog of open source licenses InterdisciplinaryOpen Publishing

Using this online tool, you can choose an open source license to clearly articulate the conditions under which others can use, distribute, modify or contribute to your software and non-software projects.

NRIN Collection of Resources on Research Integrity Data Management+

Curated by the Netherlands Research Integrity Network (NRIN), this collection contains literature, tools, guidelines, and educational media related to research Integrity. Access the Collection here.

PhD Course Materials: Transparent, Open, and Reproducible Policy Research Data Management+

BITSS Catalyst Sean Grant developed and delivered a PhD course on Transparent, Open, and Reproducible Policy Research at the Pardee RAND Graduate School in Policy Analysis. Find all course materials at the project’s OSF page.

Course Syllabi for Open and Reproducible Methods Anthropology, Archaeology, and Ethnography+

A collection of course syllabi from any discipline featuring content to examine or improve open and reproducible research practices. Housed on the OSF.

MetaArXiv InterdisciplinaryOpen Publishing

An interdisciplinary archive of articles focused on improving research transparency and reproducibility.

Accountable Replications Policy “Pottery Barn” Dynamic Documents and Coding Practices+

The Accountable Replication Policy commits the Psychology and Cognitive Neuroscience section of Royal Society Open Science to publishing replications of studies previously published within the journal. Authors can either submit a replication study that is already completed or a proposal to replicate a previous study. To ensure that the review process is unbiased by the results, submissions will be reviewed with existing results initially redacted (where applicable), or in the case of study proposals, before the results exist. Submissions that report close, clear and valid replications of the original methodology will be offered in principle acceptance, which virtually guarantees publication of the replication regardless of the study outcome.

 

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Gates Open Research Health Sciences+

Gates Open Research is a scholarly publishing platform that makes research funded by the Bill & Melinda Gates Foundation available quickly and in a format supporting research integrity, reproducibility and transparency. Its open access model enables immediate publication followed by open, invited peer review, combined with an open data policy.

Nicebread Data Management+

Dr. Felix Schönbrodt’s blog promoting research transparency and open science.

NeuroChambers Issues with transparency and reproducibility+

Chris Chambers is a psychologist and neuroscientist at the School of Psychology, Cardiff University. He created this blog after taking part in a debate about science journalism at the Royal Institution in March 2012. The aim of his blog is give you some insights from the trenches of science. He talks about a range of science-related issues and may even give up a trade secret or two.

 

 

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The New Statistics (+OSF Learning Page) Data Management+

This OSF project helps organize resources for teaching the “New Statistics” — an approach that emphasizes asking quantitative questions, focusing on effect sizes, using confidence intervals to express uncertainty about effect sizes, using modern data visualizations, seeking replication, and using meta-analysis as a matter of course.

 

rpsychologist Data Management+

Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, and Data Visualization.

SocArxiv Interdisciplinary+

Open archive of preprints for the social sciences.