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How to communicate quality and confidence of data?

How to communicate quality and confidence of data?. Solfrid Agersten / Per-Ove kjensli. Why do we have QC?. By default we are suspicious … How trustworthy are the data Dependent on: The instrument The weather element to observe The methods The QC-system

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How to communicate quality and confidence of data?

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  1. How to communicate quality and confidence of data? Solfrid Agersten / Per-Ove kjensli

  2. Why do we have QC? • By default we are suspicious … • How trustworthy are the data Dependent on: • The instrument • The weather element to observe • The methods • The QC-system • But – 99.x % of data have good quality!

  3. Who are the user? • I believe all data from Meteorological institute are reliable • I do not care about the quality. I need data now! • I want the possibility to select data based on confidence myself – different data to different use

  4. About quality… • Manual corrected/interpolated data: OK or uncertain? • Automatically corrected/interpolated data: OK or uncertain? • Model data: OK, uncertain or bad? • Set a flag for every quality check Too tight checks, or too slack…?

  5. Quality control flag in operation • Restrict the data published to the user • Uncertain … is that good enough for presentation on Internet? • Simplify the flag for the user in Quality Level • OK • Slightly Uncertain • Very Uncertain • Erroneous

  6. How is the quality information used? http:/yr.no: OK and data flagged as Slightly Uncertain - no information about quality!

  7. eKlima.no • Intention to serve most of the users • Self service of data and quality

  8. Useinfo(2) Quality of Original value => Level no

  9. Useinfo(3) Original corrected => Level no

  10. In future: Possible to quantify the probability for the data to be correct?

  11. How to ensure a good quality control? • Data provider must know the connection between the • qualitycontrolcheck • the flag set • the ‘confidence’ of the data. • User doesn’t care about checks and flags, but the confidence • It is not possible to say anything about the confidence without having correct flags…

  12. What is a correct check? • Dependent of datatype • Dependent of criteria – input parameters • Are the checks independent? • Quantify the reliability of the checks to find weights for the checks. • Find total confidence based on the weights of the checks.

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