Research Area A: Abstractions for DAW Specification Languages

This research area comprises six subprojects that research novel abstractions for DAW specification languages and how they are turned into logical and physical plans by a DAW engine. The aim of all subprojects is to increase the level of portability, adaptability, and dependability of DAWs, DAW specification languages, and DAW engines. All subprojects within this area (except A1) are interdisciplinary, i.e., have one PI from Computer Science and one from a Natural Science.

A1: Foundations of Data Analysis Workflow Validation (Schweikardt, Weidlich)

A2: Adapting Genomic Data Analysis Workflows for Different Data Access Patterns (Leser, Reinert)

A3: Deriving Trust Levels for Multi-Choice Data Analysis Workflows (Draxl, Grunske)

A5: Dependability, Adaptability and Uncertainty Quantification for Data Analysis Workflows in Large-Scale Biomedical Image Analysis (Kainmüller, Ritter)

A6: Data Analysis Workflows for Interactive Scientific Exploration (Kehr, Weidlich)