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Issues in Exploiting Diverse Sources of Scientific Data

On this page a list of issues will be developed including those that motivated the theme and those that arise from the workshops in the theme or contributors to the Wiki. Some of these issues will develop into the focus of the theme.

Scientists Requirements

• What strategies and methods would we advise scientists to use to aid exploitation of data?
• What tools will best support scientists' work?
• What cooperative plans can we make for developing the strategies and tools and for sharing the resources that they require?

Tools

• Will scientific workflows and data federation remain separate lines of development and independent tools that researchers may use? or can we see synergies that should be supported?
• Within scientific workflows and data federation, what are the methods that best work today?
• What are the tools currently available?
• How do they compare from the researcher's point of view?
• What are their deficiencies and how should they be addressed?

Different Science Communities

• Are there fundamentally different requirements for each discipline?
• Is it appropriate to organise by discipline in order to reduce data exploitation costs within that discipline? Or will that generate discipline silos that inhibit interdisciplinary investigations?