Scientific Collaboration Cyberspace

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Scientific Collaboration Cyberspace
TieJian Luo Ph.D. tjluo_at_gucas.ac.cn
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Agenda

• Motivation
• Modeling Collaboration
• The Challenges for e-scientists
• Five Pilot Projects
• Lessons learned

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New Science Paradigms

• Thousand years ago Experimental Science
• - description of natural phenomena
• Last few hundred years Theoretical Science
• - Newtons Laws, Maxwells Equations
• Last few decades Computational Science
• - simulation of complex phenomena
• Today e-Science or Data-centric Science
• - unify theory, experiment, and simulation
• - using data exploration and data mining
• Data captured by instruments
• Data generated by simulations
• Processed by software
• Scientist analyzes databases/files
• (With thanks to Jim Gray)

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Scientific Computing Research Paradigm
data
Verify model (1)problem model (2)experiment, data
collection (3)get computing resource (4)computing,
verify model
Deduce natural law (1)identify problem
domain (2)experiment, data collection (3)get
computing resource (4)analyze data , deduce law
extract
information
simulation
result
Data mining
model
deduce
idea
Scientific computing
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The Problem for the e-Scientist

• Data Query and Visualization tools
• Support/training
• Performance
• Execute queries in a minute
• Batch (big) query scheduling

• Data ingest
• Managing a petabyte
• Common schema
• How to organize it?
• How to reorganize it?
• How to coexist cooperate with others?

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Scientific Data Life Cycle

• Data Acquisition
• Data Ingest
• Metadata
• Annotation
• Provenance

• Data Storage
• Data Cleansing
• Data Mining
• Curation
• Preservation

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What is a Scientific Collaboration ?

• Definition two or more people work together to
  create or achieve the same thing.
• Inter-discipline guys
• Teamwork
• Agreement
• Common interests
• Divide task into several works
• Discuss problems, use instruments and share
  information
• Goal create new knowledge
• The Problem is how to make this things happen?
• Solution Human Cooperation Resource Share

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Basic Collaboration Model---G.Olson

• People to People
• Communication
• Groupware Service
• Access to Facilities
• Interaction with the Physical World
• Access to Instrument online
• Access to Information
• Digital Libraries, E-Pub
• Search Service

The concept back from 1989
National Collaboratories ---Applying IT for
Scientific Research , NAP, 1993
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Current collaboration technology

• Electronic communication tools send messages,
  files, data, or documents between people and
  hence facilitate the sharing of information.
• e-mail
• faxing
• voice mail
• Web publishing
• Electronic conferencing tools also facilitate the
  sharing of information, but in a more interactive
  way.
• data conferencing networked PCs share a common
  "whiteboard" that each user can modify
• voice conferencing telephones allow users to
  interact
• video conferencing (and audio conferencing)
  networked PCs share video or audio signals
• Internet forums (also known as message boards or
  discussion boards) a virtual discussion
  platform to facilitate and manage online text
  messages
• chat rooms a virtual discussion platform to
  facilitate and manage real-time text messages
• electronic meeting systems (EMS) a conferencing
  system built into a room. The special purpose
  room will usually contain a large screen
  projector interlinked with numerous PCs.
• Collaborative management tools facilitate and
  manage group activities.
• electronic calendars (also called time management
  software) schedule events and automatically
  notify and remind group members
• project management systems schedule, track, and
  chart the steps in a project as it is being
  completed
• workflow systems collaborative management of
  tasks and documents within a knowledge-based
  business process
• knowledge management systems collect, organize,
  manage, and share various forms of information
• extranet systems (sometimes also known as
  'project extranets') collect, organize, manage
  and share information associated with the
  delivery of a project (eg the construction of a
  building)
• social software systems organize social
  relations of groups

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The Services to Enable Scientific Collaboration
3 Cyberspaces 10 Service functions
Virtual Team Team management
Virtual Team Task coordination (workflow)
Virtual Team Project management
Virtual Team Trust Metrics for collaboration
Resource and Interaction Online communication
Resource and Interaction Access to instrument
Resource and Interaction Semantic to scientific data
Information and Knowledge Publication and Search
Information and Knowledge Knowledge space
Information and Knowledge Experts community
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Case Study China State Key Labs
Area of Study Labs Chemistry
22 Math and Physics 15 Geognosy
18 Biology
38 Information 26 Material
18 Engineering 25

• Users more than 10k
• Large instruments more than 6k

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Physical Resource and Virtual Team
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Scientific Collaboration Cyberspace
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Modeling Elements
Object
Relationship
Entity
Participant Management Institute Affiliate
org E-community
Info flow Capital flow Data Flow Communicate Manag
ement
Instrument Data Storage
Behavior
Behavior According constraint
Action Des
Container
Collaboration cyberspace
name
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Knowledge create and distribute Model
Ensure a fair game !
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Members
Agreement
Labs
(1,n)
(1,m)
1
Buy rule
2
2
1
2
Collaboration Cyberspace
2
Outside labs
(1,q)
(1,p)
Extra members
1.contribution 2.get Knowledge 3.oversee
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SCC Web Architecture

• Benefits
• Adaptable
• More than 10 different science subjects templates
• Scalability
• Dynamic growing VO does not affect platform
  performance
• Extensibility
• Easy plug in the a new service to the platform

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SCC web site http//co-lab.chinalab.gov.cn/
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Portal model for accessing autonomic resource

• Benefits
• Trust access path
• Single sign-on
• Delegate permits and Proxy
• Interoperate

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Video and audio interactive component
Benefits 1. Multi node access 2. Plug in SCC 3.
Security and efficiency
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Project1Soil Carbon recycle mechanism database
A lot of Units Distribute data across mainland of
China More than 1K scientists
Soil Carbon Recycle Data Schema
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Soil Carbon Recycle collaboration cyberspace
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Project 2FACE(Free Air CO2 Enrichment)

• Find out the mechanism for the rice growing when
  the CO2 climate change
• 15 Collaboration org.,9 domestic orgs(3SKL),7
  oversea country, 100 research staff.
• Invest 100m RMB, only one in China
• 30 science topics

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FACE scientists

• Federal Agricultural Research Centre (Germany)
• National Institute of Agro-Environmental Sciences
  (Japan) North Carolina State University
• Tohoku National Agricultural Experiment Station
  (Japan)
• U.S. Water Conservation Laboratory
• University of Oklahoma
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• ????????????????(????????????)
• ????????????????? (???????)
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Contribution to the FACE community

• Monitor the farm site by video
• Automatic upload the raw data
• Real time display control pane by Browser

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FACE Project deployment
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FACE website

• New
• 10 service for collaboration
• 2 years runtime

• Old
• Only one function
• Info pub

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Project3 Neutron diffraction online experiment
and data sharing
Remote monitor in Browser
1.Protect the staff from radiation 2.Monitor the
experiment process 3.Inter-discipline scientists
Neutron emission facility
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Neutron reactor remote access deployment
Benefit 1 staff are isolated from experiment
site 2 remote real time monitor the process 3
scientists online discuss
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Neutron diffraction remote control interface in
Browser
Data analysis software
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Project 4 Collaboration for BSL3 Labs
(http//clb.gucas.ac.cn)
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BSL3 setting
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Real time monitor BSL3 Labs of FUDAN University
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Project 5 Collaboration for Experiments Centers
(http//cec.gucas.ac.cn)
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The PHI 700 Field Emission Scanning Auger
Nanoprobe Get data
Trio MRI ???????? ??????????
Trio MRI ????? Transfer data
800MHz?????? experiment statues
PHI700?????
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Implementation
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Large scientific instruments Centers
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Instruments running statistics
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Lessons from SCC development

• How to address the users application simpler?
• System development is less and less about coding
  than about using things and gluing them together.
• Create a flexible enough architecture to allow
  for changes.
• Customers will not be able to elucidate at the
  start what they want only by using the system
  will they be able to tell you what you should
  have done.
• SSC 1.0 rely on MS SharePoint SSC 2.0 open
  source
• Future concerns should be e-community trust
  metrics.

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Acknowledge

• Dec.2005--Dec.2007, China Bio-Safe Level 3 Labs
  Collaborative Cyberspace, Grant from MOST of
  China
• Dec.2005--Dec.2007, China Large Scientific
  Instruments Collaborative Cyberspace, Grant from
  MOST of China
• Jul.2005--Jul.2008, EU-Asia Link Programme
  HPC-Grid Computing Course Model, Grant from EU

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• Thanks