Conceptual-level workflow modeling of scientific experiments using NMR as a case study

Background: Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phases, allowing intermediate results to be verified and supporting the proper handling of semantic mismatches and different file formats among the various tools used in the scientific process. Thus, scientific workflows are important for the modeling and subsequent capture of bioinformatics-related data. While much research has been conducted on the implementation of scientific workflows, the initial process of actually designing and generating the workflow at the conceptual level has received little consideration. Results: We propose a structured process to capture scientific workflows at the conceptual level that allows workflows to be documented efficiently, results in c...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Kacy K. Verdi, Heidi J. C. Ellis, Michael R. Gryk
• Keywords: BMCBI 2007, Nuclear Magnetic Resonance, Scientific Workflows, Workflow