Reproducible Analyses

 

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 library of electrophysiological responses in plants - a model of transversal education and open science

Electrophysiology in plants is understudied, and, moreover, an ideal model for student inclusion at all levels of education. Here, we report on an investigation in open science, whereby scientists worked with high school students, faculty, and …

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. …

Design and validation of a conceptual model regarding impact of open science on healthcare research processes

Introduction The development and use of digital tools in various stages of research highlight the importance of novel open science methods for an integrated and accessible research system. The objective of this study was to design and validate a …

Pre Self: what fraction of a journal’s papers are preprinted?

Answering the question of what fraction of a journal’s papers were previously available as a preprint is quite difficult to do. The tricky part is matching preprints (from a number of different servers) with the published output from a journal. The …

The challenges of open data sharing for qualitative researchers

‘Open Science’ advocates for open access to scientific research, as well as sharing data, analysis plans and code in order to enable replication of results. However, these requirements typically fail to account for methodological differences between …

OpenSAFELY: A platform for analysing electronic health records designed for reproducible research

Electronic health records (EHRs) and other administrative health data are increasingly used in research to generate evidence on the effectiveness, safety, and utilisation of medical products and services, and to inform public health guidance and …

Advocating for Generalizability: Accepting Inherent Variability in Translation of Animal Research Outcomes

Advancing scientific discovery requires investigators to embrace research practices that increase transparency and disclosure about materials, methods, and outcomes. Several research advocacy and funding organizations have produced guidelines and …

Making Research Data Publicly Accessible: Estimates of Institutional & Researcher Expenses

Academic institutions have made significant investments to support public access to research data requirements, yet little to no data about these services, infrastructure, and costs currently exist or are widely shared. For public access to research …
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