Analyze Data: How-to
Encourage broad use of data:
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- provide access to data and data analysis tools
- develop training and support for use of analysis and predictive tools
- make metadata available for deeper analysis
Have a balanced emphasis on participant data analysis:
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- know the needs and interests of your volunteers
- recognize that not all volunteers will want to be involved in analysis
Target data analysis:
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- know the data needs/expectations of those you wish to inform (e.g., policy makers, scientific community...)
- seek advice from experts when appropriate (e.g., statisticians, geographers...)
Ensure local relevance:
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- empower participants to pursue local questions
- offer local conferences in support of scientific analyses of data
- provide support and feedback for participants using data locally
Use available technology appropriately:
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- look for open source (free!) tools (see some tech tools)
- make sure tools come with guidance and stated assumptions
- for maps, ensure maps are meaningful (may need bio/GIS advice)
Know of any FTWs for this step? Soon you will be able to share them through our discussion forum.
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Toolkit  Steps |
Next Step  |
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(accept data) |
(disseminate results) |