Collaborative Science: Technologies & Examples

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 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)

Social Networking
Personal
Business
Academic
White label

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

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

Sciweavers ( www.sciweavers.org )
Bookmarking network
Aimed at promoting research work and researcher visibility
Share links to presentations, notes, source code, datasets, etc.

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

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, …

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

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

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

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

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

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

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

CyberSKA - Collaboration
Initially adapted from GeoChronos with significant development/customization since
Blogs
Tags
Wikis
Friends/contacts
Groups
Discussions
Message boards
Calendars
Status
Activity Feeds

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

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

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

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

WaterCloud - Collaboration
Blogs
Tags
Wikis
Friends/contacts
Groups
Discussions
Message boards
Calendars
Status
Activity Feeds

WaterCloud – Visualization Tool
Map for displaying and selecting monitoring stations to analyse data for
Manage monitoring stations and collections
Select and plot data

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

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

Contact Information Cybera Summit Sep. 22, 2010 Cameron Kiddle [email_address] http://pages.cspc.ucalgary.ca/~kiddlec/ http://geochronos.org/ [email_address] http://grid.ucalgary.ca/ CyberSKA http://www.cyberska.org/ [email_address]

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Collaborative Science: Technologies & Examples

by Cameron Kiddle on Oct 18, 2010

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