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Project C Sage Infrastructure Tools Project Carole Goble, University of Manchester, UK Ted Liefeld, Broad Institute Alex Pico, Gladstone Institutes Marc Hadfield, Alitora Keep It Simple. Open Source. Web 2.0 Development Patterns The Long Tail Leverage scientist-self service to reach out to the long tail Users Add Value Involve colleagues and other scientists, both implicitly and explicitly, in adding value to your application. Network Effects by Default Set inclusive defaults for aggregating user data as a side-effect of their use of the application. Perpetual Beta Dont package up new features into monolithic releases. Add them on a regular basis as part of the normal user experience. Cooperate, Dont Control Design for mash ups. Offer web services interfaces and content syndication, and re-use the services of others. Some Rights Reserved. Benefits come from collective adoption. Make sure that barriers to adoption are low. Follow existing standards.Use licenses with as few restrictions as possible. Design for hackability and remixability. Data is the Next Intel Inside Applications are increasingly data-driven. For competitive advantage, seek to own a unique, hard-to-recreate source of data – workflows are data and data sources. Software Above the Level of a Single Device Design your application from the get-go to integrate and launch services across any interface. This afternoon Drill down into demos and experiences Guests Tim Clark – SWAN, Web 3.0, neurodegeneration Michel Dumontier – Bio2RDF Audience participation! Opportunities, Barriers and Incentives Platforms, datasets, services and tools Technologies and Standards Directions for Sage Bionetworks Audit of Tools * Working on Full OSGi and * * Number one: it is an analysis tool, with an extensive and ever growing collection of analysis modules What is a module Any piece of code that performs an analysis - Perl script, Java application, call to Web service, Database query, anything that can be expresse