1. Science & Innovation 2010 Ordnance Survey Seminar: Underpinning innovation with geography Be brave – people may do things with the data that you don't like Create relationships between policy officials and developers Aim to reduce FOI workload Use open source software wherever possible Pass on learnings to other similar organisations (local authorities) Invent new business models e.g. farming as a service rather than as a producer of commodities Just release data and expect people to understand or create with it. Publication is not the same as communication Wait for FOI requests, put the data out first informally Avoid challenges to current income streams Be late in releasing data Rely on future technology to solve today’s problems Go straight for the finished article, use rapid prototyping Be put off by the tensions between confidentiality, data protection and publishing Wait for the big budget or formal process but start big things with small amounts now Expect people to interpret the data in the same way you do Be technology led, be business led instead Focus on part of a system (e.g. the GM crop solution) but an overarching concept (e.g. Agrarian Renaissance) Expect the community to entirely self-manage Restrict open data to the IT literate – create interdisciplinary partnerships Get caught in the false dichotomy that is commercial vs. social Do… Don’t… Set out to create commercial or social value with data Make sure data quality is high Leverage 21 st century ‘gardening’ - the willingness of the crowd Promote innovation using government data sets. Transparency is only a means to an end Enhance communication with the public e.g. Hack Warwickshire Incentivise developers Create a strong external community Get organised, create a movement around an issue The Dos and Don’ts of Opening up Data 100%Open Ltd. David Simoes-Brown 0207 193 7231