8 Research-Ruining Data Mistakes
Webinar - February 25, 2020

8 Research-Ruining Data Mistakes

Mistakes that kill your data

Getting good data is not as simple as installing sensors, leaving them in the field, and returning to find an accurate record. Researchers often painfully discover critical steps they forgot to think about and find they don’t have enough data to interpret their results.

Eliminate nasty surprises

Most data mishaps are avoidable with quality equipment (i.e., research-grade data loggers and sensors, etc.), a good data management system, some careful forethought, and a small amount of preparation. The result? Usable, publishable data. 

In this webinar, METER research scientist Dr. Colin Campbell discusses:

  • 8 common data collection mistakes 
  • Critical best practices you should never miss
  • How to make field discovery as pain-free as possible


Next steps


Dr. Colin Campbell has been a research scientist at METER for 19 years following his Ph.D. at Texas A&M University in Soil Physics.  He is currently serving as Vice President of METER Environment. He is also adjunct faculty with the Dept. of Crop and Soil Sciences at Washington State University where he co-teaches Environmental Biophysics, a class he took over from his father, Gaylon, nearly 20 years ago.  Dr. Campbell’s early research focused on field-scale measurements of CO2 and water vapor flux but has shifted toward moisture and heat flow instrumentation for the soil-plant-atmosphere continuum.

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