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Analyze Data: Reality Check

 

WE'RE EXCITED THAT...




BUT IT IS CHALLENGING BECAUSE...


Allowing participants to analyze project data themselves can help identify data trends of local relevance.


Some participants may have no interest in data analysis. Focusing on data analysis may exclude people who have little or no interest. Important to know the interests and expectations of volunteers.




Citizen science partnerships can yield rich data sets.


Finding the time and/or resources to mine such data sets.




Collaborating across projects to address a complex issue or question (e.g., how does weather data map up against bird migration data?).


Project data sets may not be complimentary.

 

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WE'RE CHALLENGED BY...




BUT SOME IDEAS ARE...


Complex data reduction techniques.






Actionable data sets... statistical ability to answer questions and/or transfer insights to new studies.



 

 


Know of any opportunities for or challenges to this step?  Soon you will be able to share them through our discussion forum.


 

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