Short answer

Designers and policymakers should leverage comprehensive user data, even from non-commercial sectors, to create more effective and sustainable resource management systems and related products or services.

Field
Commercial Production
Source
eCite Digital Repository (University of Tasmania) (2003)
Method
Multi-faceted survey methodology
Evidence
Strong effect

Comprehensive surveys of recreational and indigenous fishing activities provide crucial data for effective resource management and policy development. This commercial production research insight is drawn from a 2003 study published in eCite Digital Repository (University of Tasmania). Using Multi-faceted survey methodology, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers and policymakers should leverage comprehensive user data, even from non-commercial sectors, to create more effective and sustainable resource management systems and related products or services.

Study
Commercial ProductionHigh ImpactStrong effect

Recreational Fishing Data Informs Resource Management Strategies

Comprehensive surveys of recreational and indigenous fishing activities provide crucial data for effective resource management and policy development.

eCite Digital Repository (University of Tasmania) · 2003

01

Key Findings

  • 01Established a national dataset on non-commercial fishing activities.
  • 02Highlighted the need for varied methodologies to capture diverse fishing practices.
  • 03Demonstrated a collaborative approach between government bodies for data collection.
02

Application

Design takeaway

Designers and policymakers should leverage comprehensive user data, even from non-commercial sectors, to create more effective and sustainable resource management systems and related products or services.

How to apply

When designing for sectors that interact with natural resources, conduct thorough research into all user groups, including recreational and indigenous communities, to ensure equitable and sustainable outcomes.

Project actions

  • 01Consider the scope of your research and whether different user groups require distinct data collection methods.
  • 02Think about how your research findings can be translated into actionable policy or design recommendations.
03

Method & Evidence

AimTo collect and analyze data on recreational and indigenous fishing activities across Australia to inform resource management.
MethodMulti-faceted survey methodology
ProcedureConducted three independent surveys: National Recreational Fishing Survey, Indigenous Fishing Survey of Northern Australia, and Overseas Visitor Fishing Survey, employing different methodologies and analytical approaches for each.
ContextNational recreational and indigenous fishing sector in Australia

Variables

IV["Type of fishing activity (recreational, indigenous, visitor)","Geographic location"]
DV["Fishing effort (e.g., hours fished, number of trips)","Catch rates","Species targeted"]
CV["Survey period (2000-01)","National scope"]
04

Strengths & Limitations

Strengths

  • +National scope providing broad applicability.
  • +Multi-faceted approach addressing diverse user groups.

Limitations

The abstract doesn't detail the specific sampling methods or response rates, which could affect the generalizability of the findings. The data is also dated.

Reliability & validity

The reliability and validity would depend on the specific methodologies employed within each of the three surveys, which are not detailed in the abstract. A national scope and government collaboration suggest a degree of institutional rigor.

Think critically

How might the specific cultural contexts of indigenous fishing practices necessitate different design considerations compared to recreational fishing, and how can these be integrated into a single management framework?

05

Design Principles

"Data-driven design for resource stewardship."

Understanding non-commercial fishing practices is essential for sustainable resource allocation and conservation efforts. This data can inform regulations, infrastructure development, and economic impact assessments related to fishing industries.

06

What This Means for Your Design

Big surveys about fishing help governments and people understand how to manage fish stocks and fishing areas better, making sure there are enough fish for everyone in the future.

How to use in your project

  • 1.Reference this study when discussing the importance of comprehensive user research for resource management or policy development in your design project.
07

Add to My Project

08

Quick Cite

Paragraph starter

The National Recreational and Indigenous Fishing Survey (Henry & Lyle, 2003) exemplifies how comprehensive, multi-faceted data collection on diverse user groups can underpin effective resource management strategies. By employing tailored methodologies for recreational, indigenous, and visitor fishing, the study provided a robust dataset that informed policy and conservation efforts, highlighting the value of detailed user insights in designing sustainable practices.

09

Source

eCite Digital Repository (University of Tasmania)

The National Recreational and Indigenous Fishing Survey

journal · 2003

View source

Questions About This Research

What does the research say about recreational fishing data informs resource management strategies?
Designers and policymakers should leverage comprehensive user data, even from non-commercial sectors, to create more effective and sustainable resource management systems and related products or services. Evidence: eCite Digital Repository (University of Tasmania) (2003).
Why does "Recreational Fishing Data Informs Resource Management Strategies" matter for design?
Understanding non-commercial fishing practices is essential for sustainable resource allocation and conservation efforts. This data can inform regulations, infrastructure development, and economic impact assessments related to fishing industries.
How can designers apply this research?
Designers and policymakers should leverage comprehensive user data, even from non-commercial sectors, to create more effective and sustainable resource management systems and related products or services.
What were the main findings?
Established a national dataset on non-commercial fishing activities.. Highlighted the need for varied methodologies to capture diverse fishing practices.. Demonstrated a collaborative approach between government bodies for data collection.
What research method was used?
Multi-faceted survey methodology.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2003 journal from eCite Digital Repository (University of Tasmania).
What should I do differently in my next project?
When designing for sectors that interact with natural resources, conduct thorough research into all user groups, including recreational and indigenous communities, to ensure equitable and sustainable outcomes.
What are the limitations?
Specific details on the methodologies and analytical approaches for each survey are not fully elaborated in the abstract. The survey was conducted over a specific period (2000-01), and fishing patterns may have evolved since then.