Scope
A number of innovative, but uncoordinated, efforts in data-centric workflows have made their mark on the scientific and business world in recent years. The goal of this workshop is to use these efforts to start bringing together a research community around the theoretical foundations, technology development, and domain applications of workflow systems.
As a first postulate, we take that there is no uniform workflow solution, in the same way that there is no uniform programming language. Furthermore, our goal is not to promote a particular technology, or even interoperability between individual technologies. What we intend to achieve is to present, discuss and ultimately better the different computational models, usability patterns, and domain approaches used in the field.
In this spirit, we seek contributions from both researchers and practitioners on all aspects of data and process managements that contribute towards this goal. More specifically, relevant topics include, and are not limited to, the following:
- Role of workfows in data analytics, mining and statistics
- Performance estimation and optimization of workflow execution
- Scalability of workflow-based solutions on very large data sets
- Role of metadata in static profiling of dataflows
- Impact of, and new requirements for, workflow technology on open science
- Workflow warehousing, indexing, searching, and mining
- Workflows for service orchestration
- Mapping workflows to cloud computing environments
- In-database workflow execution
- User interaction models for complex eScience: visibility vs. commoditization
- Workflow repurposing and reuse
- Privacy models for data-centric workflows
- Workflow semantics
- Workflows as invisible middleware
- Workflows in Service-oriented life sciences
- Component-based business intelligence
- Sensor data processing
- Data integration and provenance tracking in medical research
