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, 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 mistakes
- Critical best practices you should never miss
- How to make field discovery as pain-free as possible