1. What types of data do we need to collect
What for ?

2. Outline Background to data What data is used for
Broad types of data needed for coastal fisheries

3. Data validate qualitative (anecdotal) information and establishes a basis for making decisions: decisions that optimise/maximise the use of resources in a sustainable manner.
Data:
provide a record (historical)
measure of change or otherwise
allows for monitoring of impacts
helps inform management (decision, policy making, where do we allocate resources)
Representative data can provide insight to what is happening now, what has happened in the past, and what may happen in the future
Data a subset of information that:
Is a quantitative record/measure of thing/events/experiences;
measures change and the extent of activity/acquisition of resources;
ensures consistency when recording things/events/experiences;
informs, educates and facilitates management processes (e.g. decision-making, policy-making, resource allocation).
depending on the management decisions/arrangements
Why collect data
- provide a record of the history of fishery
- helps in decision making to ensure sustainable fisheries
- allows for the establishment of management measures
inform and advise stakeholders
helps in development of management plans

4. Standardisation of data collection allows:
Understanding what data will be used for is fundamental in the design stage of data collection programmes
Need to know the management question to be answered to allow the appropriate data to be collected?
Pilot studies could be undertaken to test data collection methodologies, statistical rigor
Standardisation of data collection allows:
for lessons learnt to be shared
comparison over time and between locations
you to borrow data in the absence of local information
representation of exploitation rates
state of resources
Allows for an analysis for when things go wrong
Borrow: eg length at maturity for species A in location B

5. Data collection approaches
In-water surveys, abundance, size structures
Creel – interviews production, catch composition
Market surveys, price, types of fish sold
Biological sampling, age, growth, F,Z,M maturity
Logbooks, production, where fish caught
Need to link the best approach to the data, even with technology offering ways of collecting data
If the question that requires answer is about: how much fish is being caught, an appropriate data collection system would be creel, log forms

6. Wide range and types of data
Scientific surveys, (density, fish measurements, otolith)
Fisheries dependent / Fisheries independent (IP4)
Statistically sound/valid (number based)
Numbers versus non-numbered (quantitative versus qualitative)
Perceptions (things have changed, fish are smaller, catching less)
Pictures of transect, creel, measuring fish etc
Scientific survey: done by team of people

7. Anecdotal evidence (e.g. spawning seasons)
Traditional knowledge/experience (qualitative)
Can be used individually or in combination to help management
Talk to pictures

8. Data requirements for coastal fisheries
Assessing stock status for management
Information on the status of stocks,
Level and methods of extraction (catch, location)
Importance of fisheries for food security and livelihood
Aquaculture
Necessary for monitoring and improve of production cycles
Tracking a list of active farms and infrastructure
Get information about production and socio economic benefits
Brief overview, individual speakers will cover …..
feasibility (technical, economical) of something (rabbit fish farming)

9. Data requirements for coastal fisheries
Economic
Look at gender perspectives and house hold demographics (fish consumption, livelihoods)
Determine the viability of fishing or aquaculture options
MCS
MCS data to facilitate better deployment of scarce resources to maximise MCS efficiency (e.g. number of inspections at landing sites, market etc)

10. Thank you Merci