Open science presents a new approach for knowledge discovery, dissemination, and
integrity. The idea behind open science is to reinforce research activities and create open …

Context: In scientific software, the inability to reproduce results is often due to technical
issues and challenges in recreating the full computational workflow from the original …

Major societal and environmental challenges involve complex systems that have diverse
multi-scale interacting processes. Consider, for example, how droughts and water reserves …

Despite the growing acknowledgment of reproducibility crisis in computational science,
there is still a lack of clarity around what exactly constitutes a reproducible or replicable …

Mid-winter breakups (MWBs) are an increasingly common event on Canadian rivers
resulting in the early breakup of river ice cover, with complex and numerous drivers. This …

Reproducibility of scientific computation is a critical factor in validating its underlying
process, but it is often elusive. Complexity and continuous evolution in software systems …

Approaches for performing flood hazards modeling and risk assessment at federal, state,
and local agencies are undergoing emergent challenge for consistent metadata and …

This paper presents the design of a GeoSPARQL query processing solution for scientific
raster array data, called GeoLD. The solution enables the implementation of SPARQL …

Major societal and environmental challenges require forecasting how natural processes and
human activities affect one another. Model integration across natural and social science …

Scientific data analyses often combine several computational tools in automated pipelines,
or workflows. Thousands of such workflows have been used in the life sciences, though their …