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Published on: July 30, 2019
Designing gender-inclusive data systems in small-scale fisheries.
Sarah J Harper1, Meryl Williams2, Danika Kleiber3
1Coastal First Nations - Great Bear Initiative and the University of Victoria, Vancouver, BC, Canada. sjmharper@gmail.com.
Addressing gender data gaps in fisheries is crucial for economic development and food security. Systemic changes and cross-agency collaboration are needed to accurately reflect women
Area of Science:
- Fisheries Science
- Gender Studies
- Development Economics
Background:
- Gender equality is a national objective, but significant data gaps hinder progress.
- These data deficiencies, particularly in sectors like small-scale fisheries, obscure women's contributions.
- Concealed contributions impede efforts to enhance livelihoods, economic development, food security, and environmental sustainability.
Purpose of the Study:
- To identify systemic changes and specific indicators necessary to close gender data gaps.
- To leverage lessons from the Illuminating Hidden Harvests initiative for practical solutions.
- To advocate for policy changes and inter-agency collaboration to improve gender data collection.
Main Methods:
- Analysis of existing data gaps within the small-scale fisheries sector.
- Identification of required systemic changes and data indicators.
- Exploration of data sourcing from multiple government agencies beyond fisheries departments.
Main Results:
- Systemic changes and specific indicators are identified to fill persistent gender data gaps.
- Multiple data streams from various government sectors (economy, environment, health, etc.) are essential.
- Cross-agency collaboration and policy advocacy are critical for creating an enabling institutional environment.
Conclusions:
- Closing gender data gaps in small-scale fisheries requires a multi-faceted approach.
- Inter-agency cooperation and policy support are vital for accurate data reflection.
- Improved data will better serve the approximately 500 million people dependent on small-scale fisheries.
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