Open Data and Materials

 

GelBox: Open-source software to improve rigor and reproducibility when analyzing gels and immunoblots

GelBox is open-source software that was developed with the goal of enhancing rigor, reproducibility, and transparency when analyzing gels and immunoblots. It combines image adjustments (cropping, rotation, brightness, and contrast), background …

National Open Access Monitor Launch Marks a New Chapter in the Irish Open Science Landscape

The National Open Research Forum (NORF), the Irish Research eLibrary (IReL), and OpenAIRE proudly announce the launch of the National Open Access Monitor, a cornerstone in Ireland's shift towards a fully open access research ecosystem. This launch …

Open-Source Exploitation - David Whitney - NDC London 2024

In this session we'll do a deep dive into the history of open-source software, it's ethical issues in the modern, hyper-capitalised development landscape, and how we can survive, as humans in a world where the hobbyist computer clubs of the early …

Primer on Reproducible Research in R: Enhancing Transparency and Scientific Rigor

Achieving research reproducibility is a precarious aspect of scientific practice. However, many studies across disciplines fail to be fully reproduced due to inadequate dissemination methods. Traditional publication practices often fail to provide a …

The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration

Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders. By pooling images from various cohorts, statistical power has increased, enabling the detection of subtle abnormalities and robust associations, …

Towards building a trustworthy pipeline integrating Neuroscience Gateway and Open Science Chain

When the scientific dataset evolves or is reused in workflows creating derived datasets, the integrity of the dataset with its metadata information, including provenance, needs to be securely preserved while providing assurances that they are not …

Understanding the provenance and qualityof methods is essential for responsible reuseof FAIR data

Data availability and reusability are critical to open research. The FAIR principles provide a minimal set of guiding principles for making data findable, accessible, interoperable and reusable. Open data are not necessarily FAIR, and FAIR data are …

A Guide to Choosing a Data Repository for NIH-Funded Research

The National Institutes of Health (NIH) prefers data to be shared via a data repository. This article provides a guide to data repositories and an algorithm for choosing where to deposit your data.

A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research

Although biomedical research is experiencing a data explosion, the accumulation of vast quantities of data alone does not guarantee a primary objective for science: building upon existing knowledge. Data collected that lack appropriate metadata …

Adapting open science and pre-registration to longitudinal research

Open science practices, such as pre-registration and data sharing, increase transparency and may improve the replicability of developmental science. However, developmental science has lagged behind other fields in implementing open science practices. …
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