Best Poster Award for 'Interactive Visualization of Provenance Graphs for Reproducible Biomedical Research'
Sprache des Titels:
Englisch
Original Kurzfassung:
A major challenge of data-driven biomedical research lies in the
collection and representation of provenance information to ensure
reproducibility of the gained results. The Refinery Platform is an
integrated data management, analysis, and visualization system de-
signed to support reproducible biomedical research. In order to
communicate and reproduce multi-step analyses on datasets that
contain data of hundreds of samples, it is crucial to be able to visual-
ize the provenance graph at different levels of detail. Most existing
approaches are based on node-link diagrams, however, they usually
do not scale well to large graphs. Our proposed visualization tech-
nique dynamically reduces the complexity of subgraphs through hi-
erarchical aggregation and application of a degree-of-interest (DOI)
function to each node. Triggered by user interactions, such as se-
lecting a subset of analyses or a path in the graph, unaffected parts
of the graph are dynamically aggregated into a glyph representa-
tion. We further reduce the complexity of the provenance graph
visualization by layering identical or similar sequences of parallel
analysis steps into an aggregated sequence
Forschungs-