Reproducible Data

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A Reproducible Data is a Dataset that can be reproduced by an scientific experiment.



References

2019

  • (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Reproducibility#Reproducible_data Retrieved:2019-10-19.
    • Reproducibility is one component of the precision of a measurement or test method. The other component is repeatability which is the degree of agreement of tests or measurements on replicate specimens by the same observer in the same laboratory. Both repeatability and reproducibility are usually reported as a standard deviation. A reproducibility limit is the value below which the difference between two test results obtained under reproducibility conditions may be expected to occur with a probability of approximately 0.95 (95%).[1]

      Reproducibility is determined from controlled interlaboratory test programs or a measurement systems analysis. [2] [3] Although they are often confused, there is an important distinction between replicates and an independent repetition of an experiment. Replicates are performed within an experiment. They are not and cannot provide independent evidence of reproducibility. Rather they serve as an internal "check" on an experiment and should not be shown as part of the experimental results within a scientific publication. It is the independent repetition of an experiment that serves to underpin its reproducibility.

  1. Subcommittee E11.20 on Test Method Evaluation and Quality Control (2014), Standard Practice for Use of the Terms Precision and Bias in ASTM Test Methods, ASTM International, ASTM E177(subscription required)
  2. ASTM E691 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method
  3. ASTM F1469 Standard Guide for Conducting a Repeatability and Reproducibility Study on Test Equipment for Nondestructive Testing