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Counting Fish, Tracking Dollars, Making Maps, and Collaborating on the Web with Reverse Proxy Server. NOAA WebShop 2004 July 27, 2004. Brendan Sylvander GIS Coordinator 206-860-3252 [email protected] Issues, Concerns and Opportunities.

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Brendan Sylvander GIS Coordinator 206-860-3252 [email protected]

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Counting Fish, Tracking Dollars,

Making Maps, and Collaborating

on the Web with Reverse Proxy Server

NOAA WebShop 2004

July 27, 2004

Brendan Sylvander

GIS Coordinator


[email protected]

Issues, Concerns and Opportunities

  • Where is the data (tabular and spatial), metadata, documents, analysis tools, discussions, links, project information and contacts needed for BIOP, M&E and Salmon Recovery activities

  • How do researchers, project managers, and the public better interface with the Web as a “working system” to store, find, analyze, collaborate, and share data and documents in a distributed environment

  • How can we get access to salmon and environmental data in a way easy for users to use and update? Example: Salmon Abundance, Genetics, Telemetry, Streamnet, OWEB, PRISM, CALFISH, SSHIAP, DART, EMAP, NRIS, hatcheries data, data not on the internet such as spreadsheets, ASCII files, paper, etc.

    -How can we better utilize current software/hardware advancements with dedicated application development teams and analysts to support BIOP, M&E, CBCIS, and Pacific Coast Salmon Recovery Fund efforts

SDM Mission Statement

The Salmon Data Management team will, for NWFSC scientists and external customers:

Promote collaboration, communication, and coordination using e-Gov principles and enterprise-wide architecture framework to share and access internal and external information and data;

Provide and maintain “corporate” data, metadata, and applications;

Support analysis and project management services, and

Respond in a timely and effective manner.

SDM Methodology

  • Awareness

  • Assessment

  • Design/Development/Testing

  • Transition/Training

  • Deployment

  • Maintenance

  • Project Planning

  • Documentation

  • Independent Validation and Verification

SDM Development Environment

  • Setup and Baseline SDM Development Environment using “Corporate” Software and Hardware – Winter 2002/03

    - Oracle 8.1.7 DBMS w/ 440 Gigs

    - Oracle9iAS, Oracle Designer 6i, Oracle Developer

    - ESRI SDE and IMS Web Server

    - ESRI/ERDAS License Key Manager

    - SDM Staff Fileserver 340 Gigs at Raid 5

    - 5 Dual P4 1.7 GHz 1 Gig Workstations/Servers

    - Network upgrades to 100 MB LAN and 1 Gig Fiber

SDM Production Environment

  • Setup and Baseline SDM Production Environment using “Corporate” Software and Hardware – Spring 2003

    - Oracle 8.1.7 and 9i DBMS Servers

    - Oracle9iAS, Oracle Forms and Reports Servers

    - ESRI SDE and IMS Web Servers

    - 7 Dual P4 2.4 GHz 2 Gig Servers w/ 330 Gigs Raid

    - Network upgrades to 1 Gig Fiber

NWFSC Salmonid Database

Pacific Coastal Salmon Recovery Fund Database

NWFSC Collaboration Website

Live Demonstration of…

  • NWFSC Salmonid Database Pilot V.1.4

  • PCSRF Public Database V.1.0

  • SDM Web Pilot V.1.3

Lesson Learned

  • Hardware is cheap – capability doubles every 18 months at same cost

  • MS Windows 2000 Server is easy to manage compared to Unix

  • NMFS Oracle support license has been great but now charge as used

  • ESRI GSA support license is expensive - $36K/yr for NWFSC

  • Reverse Proxy Server was difficult to setup with Oracle AS but now stable

  • Disaster recovery and backup for Development servers with Ghost at $54/server compared to typical $750/server is absolutely essential

  • Reusing Oracle Web Forms and Portals templates

  • Oracle Designer 6i Metadata Repository is invaluable

  • Documentation, documentation, documentation for DQA

  • 508 is a continuous improvement process and tradeoffs are involved

  • People and/or development costs are the most expensive component

  • Moving toward Mercury TestDirector automated testing, MS Visual Sourcesafe, and increased project management

  • Data quality issues for both primary and secondary data continue to pose the most difficult challenges in time and labor

  • Managing “change” for all of the above will be even more difficult over the life cycle






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