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West Coast Electronic Fishery Information Systems Workshop Sheraton Portland Airport May 3-4, 2011 Overview, Issues, and Workshop Objectives Gil Sylvia Marine Resource Economist Superintendent, Coastal Oregon Marine Experiment Station. Presentation Objectives. Why this Workshop??

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West Coast Electronic Fishery Information Systems WorkshopSheraton Portland AirportMay 3-4, 2011Overview, Issues, andWorkshop Objectives

Gil Sylvia

Marine Resource Economist

Superintendent, Coastal Oregon Marine Experiment Station

Presentation objectives
Presentation Objectives

  • Why this Workshop??

  • “Big Picture” Context

  • Specific Fishery Challenges

  • Core eFIS Issues

  • Alternative Visions

  • Our Charge

Why are we here better information e g coherence transparency speed quality
Why Are We Here?Better Information( e.g., Coherence, Transparency, Speed, Quality)

  • Empowers!

  • Economic Benefits!

  • Better Science!

  • Improved Management!

The Information System-Project CROOS

CWT Database

Ocean Observing Systems (NANOOS, PACOOS)

Oceano- graphic data (satellite- derived)

Mapping/Analysis: internal tools

Mapping/Analysis: external tools

















Data Inputs – CROOS database

Data Inputs – Other linked databases

Onboard eletronic data entry

Temp/Depth DO



Fish Processors & Marketers

West Coast GSI Partners


CROOS / PFX Database

Data Integration


The three fishery revolutions
The Three “Fishery Revolutions”

  • Sustainability

  • Ecosystems

  • Precautionary

  • Rebuilding

  • Quotas/Catch Limits

The three fishery revolutions1
The Three “Fishery Revolutions”

  • Property Rights

  • Permits

  • Catch Shares

  • IFQ’s

  • Community Quota’s

  • TURF’s

The three fishery revolutions2
The Three “Fishery Revolutions”

  • E-Information

  • (Near) Real Time Systems

  • Hardware

  • Software

  • Internet/Web

  • Social Networking

  • Cloud-Based Systems

The integrated fishery management system
The Integrated Fishery Management System

  • Property Rights


  • E-Information

Classes of information
Classes of “Information”


Coherent Information


Broad Understanding

Tools and Enabling


  • Satellite-based

  • GPS

  • Communications

  • Remote sensing

  • Hardware

  • Electronic data loggers

  • Temperature/depth loggers

  • Bar-code readers

  • Electronic sensors

  • Communication

  • Cell phones

  • Satellite phones

  • Email

  • Internet

  • World-wide web

  • Computer-based

  • Data base software

  • GIS

  • Ocean models

  • Visualization software

  • Marketing kiosks

  • Data collection

  • Buoys

  • Doppler radar

  • Autonomous gliders

Near real time fishery information needs
(Near) Real Time Fishery Information Needs

  • Quota and Harvest (Targeted and Non-Targeted)

  • Prices and Market Information

  • Weather

  • Environmental Information and Conditions

  • Stock Location and Composition

  • Vessel Locations

  • Etc….

Types of e information fishery sub systems
Types of E-Information Fishery Sub-Systems

  • Individual Vessel and Processing Plant Systems

  • Logbooks

  • Fish Tickets

  • Observer Coverage (Human, Cameras, Sensors, etc.)

  • Vessel Monitoring Systems

  • Quota Reporting

  • Research and Monitoring

  • Ocean Observing (Buoys, Satellites, Sensors)

  • Fleet “Coordination” Systems

  • Market Traceability

  • Etc…

Issues in designing integrated e systems
Issues in Designing Integrated E-Systems


  • Privacy

  • Security

  • Contracts –(system use, data sharing)

  • Ownership and intellectual property rights (data, databases, e-architecture)

Issues in designing integrated e fishery systems
Issues in Designing Integrated E-Fishery Systems

Efficiency and Planning

  • Integrating engineering, management, and economic objectives

  • Efficient use of a unit of “data”

  • “Old” Time versus “Near Real” Time versus “Real” Time

  • Meeting industry, science, management, market, and public needs

  • Ensuring compatibility with tomorrow’s

    • emerging technologies

    • emerging resource and management needs

    • emerging marketing demands and opportunities

  • Staging development

  • Supporting economic benefits and profitability

  • Ensuring data quality, transparency, and integrity

Issues in designing integrated e systems1
Issues in Designing Integrated E-Systems


  • Maximizing inter-operational capacity among subsystems

  • Developing “standards” across systems and users

  • Collecting and sharing data and information

  • Developing “incentives” and institutions to share costs and benefits

Alternative e fis visions the diffuse independent model
Alternative e-FIS “Visions”The “Diffuse Independent Model”

  • Many Systems

    • Vessel systems

    • Fleet systems

    • Science systems

    • Enforcement systems

    • Seafood processing

    • Regulator systems

  • Little Integration, interoperability, sharing or common standards – little transparency

  • Many databases

  • Data collected multiple ways by multiple units (example—catch data five different databases)

  • Major Emphasis: privacy, security, independence

Alternative e fis visions the centralized model
Alternative e-FIS “Visions”The “Centralized Model”

  • One fishery system managed by the “regulator”

    • Standard electronic logbook

    • Fleet coordinating system part of central system

    • Enforcement system integrated

    • (individual vessels and plants may maintain separate systems)

  • Complete integration – one standard, fully interoperable,

  • One database

  • Data collected and measured once —(example one measure of catch)

  • Major Emphasis: integration, central control, interoperability, one standard

Alternative e fis visions the diffuse contractual model
Alternative e-FIS “Visions”The “Diffuse Contractual Model”

  • Many independent systems

    • Vessel systems

    • Fleet Systems

    • Regulator Systems

    • Etc…

  • Integration via voluntary contracts– stipulates standards, interoperability models, incentives, costs, privacy-security agreements, etc.

  • Databases central or diffuse -- but shared

  • Data collected and measured once —(example one measure of catch)

  • Major Emphasis: independence, voluntary cooperation, interoperability, common standards

Charge to participants
Charge to Participants

  • E-FIS will dominate in next ten years

  • Can we design for efficiency (benefits exceed costs)?

    • Industry

    • Managers

    • Scientists

  • In next two days:

    • Gain knowledge about the “options”

    • Learn about the issues

    • Design “optimal” systems for your fishery

    • Develop recommendations for improving and implementing eFIS