Gijs Verdoes Kleijn Edwin Valentijn Marjolein Cuppen for the Astro-WISE consortium What is Astro-WISE?: An information accumulator for eScience Massive datasets Data centric Federated Paradigm for Citizen eScience? Astronomers and public collaborating in one system Goals Where it started: data avalanches from Wide-field imaging surveys: OmegaCAM/VST Needles in haystacks Haystacks Share: federate distributed resources (hardware + science teams) All-in-one information system: publishing, archiving, calibration, post- calibration analysis Concepts: the paradigm Data model in object model Extreme backwards-chaining All All I/O through database: VirtualTelescopePlaat met vereenvoudiging Implementation Python as glue Try yourself: UKIDSS workshop sq.deg. NIR camera 16 2kx2k detectors 0.35 pixels Science verification phase 1sq.deg. Opt. camera 32 2kx4k detectors 0.21 pixels Commissioning mid 2010 ESO Public Imaging Surveys VIKING~250nights z, Y, J, H, K KIDS~500 nights 1500 sq.deg. u g r i OmegaCAM 24% (~2500 GB) VIRCAM 72% (~7500 GB) All Current Paranal Instruments 4% (433.2 GB) Paranal Monthly Data Rates 2007 statistics Courtesy Mark Neeser Science drivers Needles in haystacks high-z QSOs (6.4 exploring -> science A single environment for public and scientist Feeling at home in the Universe on spaceship Earth Open-up massive datasets to the public Continum: playing -> exploring -> science A single environment for public and scientist Feeling at home in the Universe on spaceship Earth TASK 24TarGet M