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Collaborative Science: Technologies & Examples - Cameron Kiddle, Grid Research Centre
 

Collaborative Science: Technologies & Examples - Cameron Kiddle, Grid Research Centre

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Cameron Kiddle, Research Fellow with the Grid Research Centre, presented these slides as part of the Cybera Summit 2010 session "The Evolution of Collaborative Science." For more information please ...

Cameron Kiddle, Research Fellow with the Grid Research Centre, presented these slides as part of the Cybera Summit 2010 session "The Evolution of Collaborative Science." For more information please visit http://www.cybera.ca/evolution-collaborative-science

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    Collaborative Science: Technologies & Examples - Cameron Kiddle, Grid Research Centre Collaborative Science: Technologies & Examples - Cameron Kiddle, Grid Research Centre Presentation Transcript

    • Collaborative Science: Technologies & Examples Cameron Kiddle Research Fellow, Grid Research Centre (GRC) University of Calgary
    • Outline   Technologies   Web 2.0/Social Networking   Motivation   Examples   Academia.edu, Sciweavers, myExperiment, HUBzero   Examples GRC is working on   GeoChronos, CyberSKA, WaterCloud Cybera Summit 2 Sep. 22, 2010
    • Web 2.0 – “The Social Web”   Aimed at:   Providing feature rich user environments   Making it easier for users to generate Web content   Improving online social connectivity   Web 2.0 technologies   Blogs/Microblogs (WordPress, TypePad, Twitter)   Wikis (Wikipedia)   Mashups (HousingMaps, ChicagoCrime)   Widgets/Gadgets (iGoogle, Netvibes)   Social networks (Facebook, MySpace) Cybera Summit 3 Sep. 22, 2010
    • Social Networking   Personal   Business   Academic   White label Cybera Summit 4 Sep. 22, 2010
    • Social Networking Motivation   Can enhance collaboration capabilities around data and applications – “Facebook for Scientists”   Facebook Widely adopted   People: > 500 million users (50% log on to Facebook on any given day), average user has 130 friends   Data: > 30 billion pieces of content shared each month   Applications: > 550 thousand applications on Facebook Platform Cybera Summit 5 Sep. 22, 2010
    • Academia.edu   Search for others based on research interests, institution, department, position   Follow work of others (via news feed)   Share your own publications, presentations, research interests Cybera Summit 6 Sep. 22, 2010
    • Sciweavers (www.sciweavers.org)   Bookmarking network   Aimed at promoting research work and researcher visibility   Share links to presentations, notes, source code, datasets, etc. Cybera Summit 7 Sep. 22, 2010
    • myExperiment (www.myexperiment.org)   Developed at Universities of Southampton, Manchester and Oxford   Share scientific workflows and other research objects   Contacts, groups, tagging, rating, reviews, comments Cybera Summit 8 Sep. 22, 2010
    • HUBzero (hubzero.org)   A collaborative platform for scientists developed at Purdue University   Recently released as open source (spring 2010)   Share publications, presentations, courses, seminars   Groups, wikis, blogs, ratings, citations, tagging, …   On-line, interactive access to tools/applications   Supports over 20 hubs   nanoHUB.org, pharmaHUB.org, thermalHUB.org, … Cybera Summit 9 Sep. 22, 2010
    • GeoChronos (geochronos.org)   CANARIE NEP-I Project   Partners   CANARIE, UofA, Cybera, UofC (GRC)   On-line collaborative portal for Earth observation scientists   Aimed at enabling sharing of scientific data and applications Cybera Summit 10 Sep. 22, 2010
    • GeoChronos - Collaboration   Social networking portal   Elgg-based (elgg.org)   Social networking services   Blogs   Tags   Media/document sharing   Wikis   Friends/contacts   Groups   Discussions   Message boards   Calendars   Status   Activity Feeds Cybera Summit 11 Sep. 22, 2010
    • GeoChronos – Interactive Application Service   On-line, on-demand access to scientific applications   Share application sessions and data with other users   Access control to applications   Hosted on top of a cloud computing platform that can dynamically provision resources on- demand Cybera Summit 12 Sep. 22, 2010
    • GeoChronos – Spectral Libraries   Store, share and browse spectral data   Manage metadata for spectra   Create and share metadata schemas   View spectral plots, metadata, ancillary files and maps Cybera Summit 13 Sep. 22, 2010
    • GeoChronos – MODIS Workflows   Creation/execution/monitoring of workflows (mosaic, reprojection and subsetting of MODIS satellite data)   Upload or selection of shapefile/ region of interest   Selection of data products   Extraction of quality control information   Thumbnail generation for output files for viewing/verification of data   Browsing of MODIS and workflow output data/metadata from workflows via same data management system developed for Spectral Library Cybera Summit 14 Sep. 22, 2010
    • GeoChronos – Next Steps   Development/integration of additional collaboration tools/plugins   Generalization of data management system to support other data types (other satellite data, flux and phenology tower data, meteorological data, ...)   Distributed data management   Employ Semantic Web technologies to better link/relate data and enable ontological mapping of metadata from different schemas Cybera Summit 15 Sep. 22, 2010
    • CyberSKA (www.cyberska.org)   CANARIE NEP-II Project   Partners   CANARIE, Cornell, Cybera, IBM Canada, McGill, NRC, UBC, UBCO, UofC (Physics/GRC)   On-line collaborative portal for radio astronomers   Aimed at addressing evolving science needs of future radio telescopes such as the Square Kilometer Array (SKA) will be largest radio-telescope when completed Cybera Summit 16 Sep. 22, 2010
    • CyberSKA - Collaboration   Social networking portal   Elgg-based (elgg.org)   Initially adapted from GeoChronos with significant development/customization since   Social networking services   Blogs   Tags   Media/document sharing   Wikis   Friends/contacts   Groups   Discussions   Message boards   Calendars   Status   Activity Feeds Cybera Summit 17 Sep. 22, 2010
    • CyberSKA - Visualization   Recognition of FITS Mime Type   In-line display of FITS headers   On-line visualization of FITS files   Interactive panning and zooming   Histogram correction   Color map adjustment   Display data values for each pixel Cybera Summit 18 Sep. 22, 2010
    • CyberSKA – Data Access   Access/download multi-dimensional FITS data   Select region of interest, stokes parameters, channel range and width   Requested data generated on virtualized Condor Pool Cybera Summit 19 Sep. 22, 2010
    • CyberSKA – Next Steps   Development/integration of additional collaboration tools/plugins   Develop distributed data management system   Have an initial iRODS-based prototype   Establish cloud environments at each site   Develop Facebook-like third party application API   Establish a framework for users to integrate data processing and analysis tools/algorithms they have developed   Improve scalability of on-line visualization tool Cybera Summit 20 Sep. 22, 2010
    • WaterCloud   Cybera Pilot Project   Partners   Alberta Advanced Education and Technology, Alberta WaterSMART, Cybera, Tesera Systems Inc, UofC (GRC)   Aimed at exploring use of cloud services to store, manipulate and expose data related to water management Cybera Summit 21 Sep. 22, 2010
    • WaterCloud - Collaboration   Social networking portal   Elgg-based (elgg.org)   Social networking services   Blogs   Tags   Media/document sharing   Wikis   Friends/contacts   Groups   Discussions   Message boards   Calendars   Status   Activity Feeds Cybera Summit 22 Sep. 22, 2010
    • WaterCloud – Visualization Tool   Map for displaying and selecting monitoring stations to analyse data for   Manage monitoring stations and collections   Select and plot data Cybera Summit 23 Sep. 22, 2010
    • WaterCloud – Collection Management   Save a set of monitoring stations and affiliated descriptions, date ranges and data types as a collection   Share collections with other contacts, groups, or make public   Load previous saved/ shared collections for instant data analysis Cybera Summit 24 Sep. 22, 2010
    • WaterCloud – Next Steps   Employment of Semantic Web technologies to better link data of different types and better automate analysis of data   Explore different ways for visualizing and integrating data in a meaningful way   Explore value added services for processing and analysing data Cybera Summit 25 Sep. 22, 2010
    • Contact Information Cameron Kiddle kiddlec@cpsc.ucalgary.ca http://pages.cspc.ucalgary.ca/~kiddlec/ http://grid.ucalgary.ca/ http://geochronos.org/ info@geochronos.org http://www.cyberska.org/ CyberSKA info@cyberska.org Cybera Summit 26 Sep. 22, 2010