Calibration and testing in data scarce situations

{
  "id": "MLC-T-ENV-003991",
  "term": "Calibration and testing in data scarce situations",
  "field": "Environment",
  "term_source": "Calibration and Testing in Data Scarce Situations",
  "definition": "The likelihood of having complete data sets for extensive IEM analysis is low. Building representative data sets and uncertainty analyses have to be performed in data-scarce conditions. The models and theories can suggest specific monitoring to collect the most important data to help decrease uncertainty and facilitate adaptive management strategies",
  "subject": "Research",
  "references": [
    "EPA EV-Research-Research Resources-Model & Simulation Tools"
  ],
  "url": "https://mlchart.com/terminology/environment/calibration-and-testing-in-data-scarce-situations/"
}