Open Data

10 Things for Curating Reproducible and FAIR Research

10 Things for Curating Reproducible and FAIR Research (CURE-FAIR) provides standards-based guidelines to follow CURE-FAIR best practices with regards to publishing and archiving computationally reproducible studies, including the associated …

A Case For Data Dashboards: First Steps with R Shiny

Dashboards for data visualisation, such as R Shiny and Tableau, allow an interactive exploration of data by means of drop-down lists and checkboxes, with no coding for the user. The apps can be useful for both the data analyst and the public.

A funder-imposed data publication requirement seldom inspired data sharing

Growth of the open science movement has drawn significant attention to data sharing and availability across the scientific community. In this study, we tested the ability to recover data collected under a particular funder-imposed requirement of …

A reputation economy: how individual reward considerations trump systemic arguments for open access to data

Open access to research data has been described as a driver of innovation and a potential cure for the reproducibility crisis in many academic fields. Against this backdrop, policy makers are increasingly advocating for making research data and …

Accessibility Data Curation Primer

Data curators are uniquely positioned to help improve access not just to individual datasets, but to the world of research data at large. As guides to and stewards of data, curators can counsel researchers on how to build accessibility into data …

Analysis of Open Data and Computational Reproducibility in Registered Reports in Psychology

Ongoing technological developments have made it easier than ever before for scientists to share their data, materials, and analysis code. Sharing data and analysis code makes it easier for other researchers to re-use or check published research. …

Analytical code sharing practices in biomedical research

Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, …

Analyzing Education Data with Open Science Best Practices, R, and OSF

This workshop demonstrates how using R can advance open science practices in education. We focus on R and RStudio because it is an increasingly widely-used programming language and software environment for data analysis with a large supportive …

Comparing Analysis Blinding With Preregistration in the Many-Analysts Religion Project

In psychology, preregistration is the most widely used method to ensure the confirmatory status of analyses. However, the method has disadvantages: Not only is it perceived as effortful and time-consuming, but reasonable deviations from the analysis …

Data Is Present: Open Workshops and Hackathons

Original data has become more accessible thanks to cultural and technological advances. On the internet, we can find innumerable data sets from sources such as scientific journals and repositories, local and national governments, and non-governmental …