3. Overview
n Database
n Large scale, high dimension
n Field work tools
n Trial design and data collection
n Analysis tools
n Exploratory and inferential
5. Why it is necessary?
n High-throughput data
n Access, sharing, security
n Multiple partners
n Efficiency, data integrity, result reproducibility
n Integrated data collection and analysis
tools
n Data validation
n Automation of repetitive tasks
n Knowledge discovery
n Internal and external cross-references