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Data Collaboration Mary Trauner Georgia Institute of Technology Internet2 Commons Site Coordinator Training March 23, 2004 Indianapolis, Indiana.

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Presentation on theme: "Data Collaboration Mary Trauner Georgia Institute of Technology Internet2 Commons Site Coordinator Training March 23, 2004 Indianapolis, Indiana."— Presentation transcript:

1 Data Collaboration Mary Trauner Georgia Institute of Technology Internet2 Commons Site Coordinator Training March 23, 2004 Indianapolis, Indiana

2 2 What is Data Collaboration? Data Collaboration Standards Approaches to Data Collaboration Section Overview

3 3 A “third stream” in addition to audio and video A shared electronic document A view of an electronic workspace A shared interface to a running application A one-time, impromptu or planned engagement A persistent, group electronic workspace Synchronous or asynchronous What is Data Collaboration?

4 4 Classroom: Shared whiteboards, slides, browsers; chats and polling/quizzing; curriculum planning, course design and repositories Administration: Proposals, budgets, status reports Research: Modeling/simulation, visualization, remote control Medicine: Collaborative discussions, remote diagnosis Typical Uses

5 5 Whiteboard Chat or Instant Messenger Shared Documents (Still Image) File Transfer Shared Applications Remote Control Pointers Surveys, Polling, Quizzing Recording Telephone and/or VC Bridges Video Streaming Animation Support Chair Control Scheduling and Timers Agendas for Meetings, Classes Announcement Boards Participant List, Status panels Management Console Directories Logging, Tracking Security -Authentication -Encryption Shared Repository, Meeting/Class Archives Features & Functions

6 6 T.120 Standard  Layered Services  Common Protocol - Network Independent  Protocol Data Units  P2P Communications Standard Applications -Still Image and annotation -Multipoint binary file transfer -Generic application template Non-standard Applications Data Collaboration Standards

7 7 Approaches Remote Data Display Interactive Data Collaboration Shared Persistent Virtual Workspaces

8 8 With a projected image: Share a PowerPoint or other presentation Share display of web browsing Demonstrate an application Provide user assistance or training Share whiteboard sketches and text Remote Display

9 9 Methods Scan converters Advanced proprietary solutions Band In-band (on a video channel) Out-of-band (on an independent data channel) Remote Display

10 10 Scan converters –Converts a high resolution PC RGB signal to a lower resolution composite video signal –Cheap and easy to use –Fair to poor resolution (no small fonts) –Uses a (the) main video window (in-band) Remote Display

11 11 Proprietary solutions - Polycom Visual Concert FX –Local RGB video from PC, sound from mic to far-side video or projector/display –Easy to use but requires high-end video conferencing appliances –High quality, native resolution –Uses a separate window (out-of-band) Remote Display

12 12 Proprietary solutions - Polycom SNAP! –Transmits JPEG snapshots of desktop or application to a Polycom appliance –Free and relatively easy to use –Low resolution like scan converter –Windows only Remote Display

13 13 Share a desktop or a window to: Co-browse the web Jointly work on whiteboard diagrams Jointly update a document Share a running application to: Jointly steer its operation Provide support or training on its use Troubleshoot problems Use valuable, limited resources Define a meeting space Interactive Data Collaboration

14 14 Polycom WebOffice

15 15 Polycom WebOffice

16 16 Polycom WebOffice

17 17 Polycom WebOffice

18 18 Polycom WebOffice

19 19 Wave3 Session

20 20 Wave3 Session

21 21 Wave3 Session

22 22 Wave3 Session

23 23 Wave3 Session

24 24 Wave3 Session

25 25 Wave3 Session

26 26 Wave3 Session

27 27 Elluminate vClass

28 28 Elluminate vClass

29 29 Elluminate vClass

30 30 Elluminate vClass

31 31 Elluminate vClass

32 32 Elluminate vClass

33 33 Elluminate vClass

34 34 Persistent Virtual Workspace With remote collaborators, in a virtual workspace: –Use capabilities of interactive data collaboration –Collaborate over time on a project or activity –Maintain the work record: documents, discussion, digital objects, notes, outlines

35 35 Groove

36 36 Groove

37 37 Groove

38 38 Groove

39 39 Groove

40 40 Groove

41 41 Groove

42 42 Groove

43 43 Groove

44 44 Groove

45 45 Groove

46 46 Groove

47 47 Bandwidth requirements Browser based and centralized tools may be influenced more by network latency and virus problems/DoS attacks. Sustained workflow Newer tools have features that support persistent environments as well as ad-hoc meetings. Availability Commercial tool pricing for general (mass) use is probably an obstacle. Project pricing may be reasonable. Closing Remarks

48 48 Methodology While many use open standards for individual elements, overall architectures and interfaces tend to be unique and even proprietary. Perspective Venue or perspective must be chosen: desktop, meeting room, classroom, others. Ease of use Tools are not always intuitive. Substantial training may be required. Closing Remarks

49 49 Mary Trauner mary.trauner@oit.gatech.edu


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