Reproducibility and Replicability Knowledge

 

Open Science Retreat

Dialogue on openness, transparency and science on communication in the digital age

Open science saves lives: lessons from the COVID-19 pandemic

In the last decade Open Science principles have been successfully advocated for and are being slowly adopted in different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of Open …

Open science, the replication crisis, and environmental public health

Concerns about a crisis of mass irreplicability across scientific fields (“the replication crisis”) have stimulated a movement for open science, encouraging or even requiring researchers to publish their raw data and analysis code. Recently, a rule …

Open Science: A Practical Guide for Early-Career Researchers

The Dutch consortium of University Libraries and the National Library of the Netherlands (UKB), together with the Universities of The Netherlands (UNL), the Dutch national centre of expertise and repository for research data (DANS) and the Dutch …

OpenAIRE Open Science Train-the-Trainer resources

Open Science being a fast-moving area, the programme of the bootcamp is revised for each iteration. The bootcamp is designed around three axes: presentations from experts, exchanges of individual experiences and independent learning assignments. …

Preregistering, transparency, and large samples boost psychology studies’ replication rate to nearly 90%

So-called “rigor-enhancing practices” suggest behavioral science can be reliable—but not everyone is convinced.

Promoting Civility in Formal And Informal Open Science Contexts

The open-science movement is driven by the desire to increase research transparency, accessibility, and equity in conducting, reporting, and sharing research. Because open science aims to enable access and inclusion, and because incivility impedes …

Reflection over compliance: Critiquing mandatory data sharing policies for qualitative research

Many journals are moving towards a ‘Mandatory Inclusion of Raw Data’ (MIRD) model of data sharing, where it is expected that raw data be publicly accessible at article submission. While open data sharing is beneficial for some research topics and …

Responsible assessment of what research? Beware of epistemic diversity!

Schönbrodt et al. (2022) and Gärtner et al. (2022) aim to outline in the target articles why and how research assessment could be improved in psychological science in accordance with DORA, resulting in a focus on abandoning the impact factor as an …

Scholarly Publishing as a Global Endeavor: Leveraging Open Source Software for Bibliodiversity

Each year, the Public Knowledge Project* (PKP) posts a very large, and rather dry, dataset at the Harvard Dataverse Project. This open data provides a summary of the known installations of PKP’s open source publishing software around the world (OJS …
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