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Collaborative Remote Access, Web Services and Some Virtual Reality for a Kappa Goniometer

Collaborative Remote Access, Web Services and Some Virtual Reality for a Kappa Goniometer. - a bit of an update - and maybe some other news.

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Collaborative Remote Access, Web Services and Some Virtual Reality for a Kappa Goniometer

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  1. Collaborative Remote Access, Web Services and Some Virtual Reality for a Kappa Goniometer - a bit of an update - and maybe some other news Part of a collaboration between Adelaide University, Indiana University, James Cook University, State University of New York (SUNY) at Binghamton, and the University of Sydney.

  2. Ewald construction ‘capturing’ the volume of reciprocal space swept out by the area detector is displayed as the crystal is rotated with a virtual Kappa goniostat. [RSPACE - a reciprocal-space modelling tool. M. R. HARRIS and M. FITZGIBBONJ. Appl. Cryst. (1989). 22, 624-627]

  3. CIMA Client 1 5 CIMA IR Tango Plugin 2 4 3 Tango Server 3 Tango as a CIMA plugin 1) Get Parcel sent by the Client 2) Helper is retrieved with variables name 3) Read_attribute called on Tango Server, variables read 4) Values converted from Double to String 5) Get response Parcel returned to the client Instrument

  4. The story of Data-MINX (well, some of it anyway … )

  5. Data-MINX Services Wish List: • User friendly (intuitive) services to search, locate, access, move and preserve data (so something better than carrying data home on disks, following an experiment at a research facility). • ‘Seamless’ connectivity across resources (eg SRB/iRODS). • Move data to processing resources (inc. users home institution desktop) or repository services (eg GridFTP). • Collaborative/shared access to data; dynamic VOs (eg WebDAV). Collaboration services (eg Plone or SAKAI). • Single SIgn On (AAF or an interim provider). • Interoperability - search across national and international facilities (eg OPAL, ISIS and SNS). • Provide standard ‘interchange’ data format (contribute to development if need be). Aids processing, curation and software development. • Harvest as much metadata as possible/sensible, as soon as possible. • Remote access and workflow services.

  6. The End; thanks ….

  7. Acknowledgements: Sydney UniJCUIndiana and SUNY Douglas du BoulayIan M. Atkinson Rick McMullen Clinton CheeTristan King Ken Chiu Richard Leow Nigel G.D. Sim Romain QuiliciMathew Wyatt Australian Research Council:e-Research Seed Funding Programme and the Research Networks Programme (MMSN: Molecular and Materials Structure Network). Department of Education Science and Training:Dataset Acquisition, Accessibility, and Annotation e-Research Technologies (DART) project GrangeNet: The Integration of Scientific Instruments into the Grid

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