I recently attended an NSF BIO directorate meeting about cyberinfrastructure needs. Here's a list of training & education challenges identified at that meeting:

• development and adaptation of tools to archive data and metadata from diverse sources to enable data mining
• integration of structured and unstructured data from heterogenous data sources
• discussion of standard methods for assessing data quality based on standard protocols
• approaches and tools for sharing data within and beyond centers prior to publication
• investigation and understanding of private and public cloud-based approaches
• tools and software for better distributed project participation and management
• visualization approaches
• online/asynchronous training materials
• modeling approaches and practice
• training in open-source-style software development practices
• development of metadata and semantic standards
• information and training on software & data reusability best practices, and minimum information standards
• assessment technologies for how biologists learn computational approaches
• experience in using, adapting, and creating workflows
• development, linkage, and assessment of cross-scale models
• distance teaching approaches and assessment
• approaches to streaming data analysis

What did we miss? ;)

--titus