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Cornell Lab of Ornithology


Analyze Data: How-to


Encourage broad use of data:

  • 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:

  • know the needs and interests of your volunteers
  • recognize that not all volunteers will want to be involved in analysis


Target data analysis:

  • 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:

  • 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:

  • 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)


Have any How-to ideas for this step?  Soon you will be able to share them through our discussion forum.


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