PPT-Accuracy and Reproducibility of Data

What is accuracy Accuracy refers to how close a measurement is to the true or actual value Example A dart thrower tries to get the darts as close to the bullseye as possible He wants to make . T hey can also be prone to misinterpretation when reviewing a product specification A dispensing moti on system can be made to perform better or wors under ifferent operating conditions T his article will expla in accuracy and repeatability and ho Thomas Steckler. FORCE2015, Oxford, 12-13 Jan 2015. 2. The Pillars of Good Scientific Practice. Reproducibility. Robustness. Relevance. SCIENCE. 3. Should Scholarly Research Aim . for . Reproducibility or Robustness?. Back to Basics. Judy Hewitt, Ph.D.. On Detail to OER. October 17, 2015. NIH Regional Seminar. Learning Objectives. Describe . the issue of reproducibility and NIH plans to address it. Summarize . changes to application instructions and review criteria for NIH grants. Landsat Classification of. Twin Cities Metro Area. Land Cover. How accurate is this classification?. 0. 9. 18. 27. 36. 4.5. Miles. Shrub & Herbaceous. Forest. Cultivated. Water. Urban – % Impervious. Define: . Accuracy. Precision. Draw & . Label. 4 dart boards to illustrate:. . (. each board should contain . 4 marks. ). High Accuracy, High Precision. High Accuracy, Low Precision. Low Accuracy, High Precision. Marco . Canini (KAUST) and Jon Crowcroft (. University of Cambridge). What it takes to do reproducible research?. It is actually hard work for both authors and reproducers. Produce solid artifacts. Create, package, share reproducible experiments. back to basics. May 4, 2017. Patricia Valdez, . p. h.. d.. Nih. Extramural Research Integrity Officer. overview. Why the concern about reproducibility?. The NIH response. Updates to grant applications. A little history first…. “Why most published findings are false”. Ioannidis, 2005, biostatistician. Clinical trials, epidemiological studies, molecular research. Less likely to be true if. Studies are smaller. back to basics. oct. 27, . 2016. NIH Regional Seminar - Chicago. overview. Why the concern about reproducibility?. The NIH response. Updates to grant applications. Training and Resources. 2. overview. Michael D. Ernst. University of Washington. Presented at ICST. 20 April 2012. Reproducibility:. The linchpin of verification. A test should behave . deterministically. For detecting failures. For debugging. Marco . Canini (KAUST) and Jon Crowcroft (. University of Cambridge). What it takes to do reproducible research?. It is actually hard work for both authors and reproducers. Produce solid artifacts. Create, package, share reproducible experiments. Matthias Flittner. 1. , Robert Bauer. 1. ,. Amr . Rizk. 2. , . Stefan . Geißler. 3. , . Thomas . Zinner. 3. , . Martina . Zitterbart. 1. 1. Karlsruhe Institute . of. Technology, . 2. Technische . Universität Darmstadt, . CONTEXT. There are two . contexts precision . and accuracy apply to: sets of data, and measuring instruments.. In a set of data, those measures give an idea of the spread and “. ballpark. ” of the answer (final measurement).. Accuracy of a measurement:. An indication of how close the measurement is to the accepted value. Percentage difference can be calculated to give a quantitative indication of a measurement’s accuracy—the smaller the percentage difference, the greater the .