62 citations · 124 across the 7 of their papers we have counts for
7 papers
PRIMAD-LID: A Developed Framework for Computational Reproducibility
Meznah Aloqalaa, Stian Soiland-Reyes, Carole Goble
Over the past decade alongside increased focus on computational reproducibility significant efforts have been made to define reproducibility. However, these definitions provide a t…
A Terminology for Scientific Workflow Systems
Frédéric Suter, Tainã Coleman, İlkay Altintaş +23
The term scientific workflow has evolved over the last two decades to encompass a broad range of compositions of interdependent compute tasks and data movements. It has also become…
An Ecosystem of Services for FAIR Computational Workflows
Sean R. Wilkinson, Johan Gustafsson, Finn Bacall +22
Computational workflows represent major investments of effort and expertise. As first-class, publishable research objects of their own, they are key to sharing methodological know-…
Systematically Examining Reproducibility: A Case Study for High Throughput Sequencing using the PRIMAD Model and BioCompute Object
Meznah Aloqalaa, Stian Soiland-Reyes, Carole Goble
The reproducibility of computational pipelines is an expectation in biomedical science, particularly in critical domains like human health. In this context, reporting next generati…
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…
WorkflowHub: a registry for computational workflows
Ove Johan Ragnar Gustafsson, Sean R. Wilkinson, Finn Bacall +12
The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both…
Applying the FAIR Principles to computational workflows
Sean R. Wilkinson, Meznah Aloqalaa, Khalid Belhajjame +20
Recent trends within computational and data sciences show an increasing recognition and adoption of computational workflows as tools for productivity and reproducibility that also…