Data Collection, Analysis, Reporting:

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Presentation transcript:

Data Collection, Analysis, Reporting: Experience from NGOs NOVEMBER 29, 2017

What are the Right Questions? What is the management question we are trying to answer? What is the best and/or most cost-effective method to collect that data? Who is the target audience(s)? Who is the best organisation (people) to collect the data?

Monitoring vs. One-off Assessment? Sangeeta Mangubhai

Monitoring by NGOs FISHERIES Catch per unit effort Market surveys In-water fisheries surveys (e.g. BDM) FLMMA Monitoring and Evaluation Three-Tiered Approach OTHER Turtle monitoring In-water surveys (e.g. coral reef)

One-off Assessments by NGOs FISHERIES Value Chain Analysis Impacts of cyclone on fisheries-dependent communities Spawning Potential Ratio (SPR) Women in Fisheries ECOLOGICAL Impacts of cyclone on coral reefs Rapid assessments of coral reefs (for community management planning) SOCIOECONOMIC Impact of LMMAs Impact of Payment for Ecosystem Services schemes

Monitoring: Analysis & Reporting Challenges Keeping clean databases Safe data storage Capacity to analyse data Capacity to write reports How to feed into management Funding (for regular monitoring)

Protection of Data Data sharing agreements All social research requires Institutional Review Board Approval Social data has personal information removed Limited access to key staff Secure system for any data provided by government

Don’t make data storage complex !! Storing Data WWF Microsoft Excel WWF server FLMMA Stored in GIS WCS Held with Country Director Kept on Cloud (backup) Don’t make data storage complex !!

Analysis Analysis Microsoft Excel R / R Studio Standardise Analysis !!

Reporting Community Factsheets / Presentations Technical Reports Policy Briefs International journals

Fisheries Training for Local Communities Then once we have finalized our data analyses, we will be looking to develop communications products for local communities to help answer their questions about what are the most sustainable harvest regimes and how large should PHCs be relative to their fishing grounds. For me, this is the most important part of the project. While it has been fun to be a part of doing cool science, the entire point of the project is use the science to influence behaviour change to improve sustainability.

How much data is enough? There is never going to be “enough” data Don’t need data to make a good management decision Get SMART with the data we have Get your partners to help you collect data Let scientists know the questions you want answered Provide a mechanism to respond to data when you get it

Is management making a difference? How is our management making a difference? For people? For fish? What creates success? Fundamentally, MacMon wants to answer bigger questions, like