Biodata System Guide

   

Data Collection Metholodogy

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This aspect of biodata management refers to the scientific and operational context in which data is collected. It has significant bearing on data quality but does not refer to the data quality itself. This framework is about *systems*. Of course data quality is important, but is outside the scope of the framework.Question: is this the only "Fitness for Purpose" issue that matters? Should we call this area "Fitness for Purpose" and include other factors in that?

Checklists

  1. Casual observations.
    • We collect data with no formal definition of what we are collecting or why.
  2. Ad hoc methodology.
    • The data was collected for some known purpose, but the method was not rigorous or was inconsistently applied.
  3. Well-designed methodology.
    • A suitably qualified person designed a protocol, setting local standards
    • The methodology is well-documented.
  4. Best practice followed.
    • The data was collected strictly following a widely accepted best practice guideline eg DOC weed monitoring protocol, 5MBC.
  5. National protocol applied consistently.
    • The data was strictly following a national standard protocol eg RTC monitoring.
 

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