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  2. Clinical data management - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_management

    Clinical data management (CDM) is a critical process in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials. [1] Clinical data management ensures collection, integration and availability of data at appropriate quality and cost.

  3. Cross-industry standard process for data mining - Wikipedia

    en.wikipedia.org/wiki/Cross-industry_standard...

    The outer circle in the diagram symbolizes the cyclic nature of data mining itself. A data mining process continues after a solution has been deployed. The lessons learned during the process can trigger new, often more focused business questions, and subsequent data mining processes will benefit from the experiences of previous ones.

  4. Capability Maturity Model - Wikipedia

    en.wikipedia.org/wiki/Capability_Maturity_Model

    Key Process Areas: a Key Process Area identifies a cluster of related activities that, when performed together, achieve a set of goals considered important. Goals: the goals of a key process area summarize the states that must exist for that key process area to have been implemented in an effective and lasting way. The extent to which the goals ...

  5. Leiden Manifesto - Wikipedia

    en.wikipedia.org/wiki/Leiden_Manifesto

    The Leiden Manifesto for research metrics (LM) is a list of "ten principles to guide research evaluation", [1] published as a comment in Volume 520, Issue 7548 of Nature, on 22 April 2015.

  6. Software quality management - Wikipedia

    en.wikipedia.org/wiki/Software_quality_management

    encouraging documentation process standards, such as the creation of well-defined engineering documents using standard templates; mentoring how to conduct standard processes, such as quality reviews; performing in-process test data recording procedures; identifying standards, if any, that should be used in software development processes

  7. Object Process Methodology - Wikipedia

    en.wikipedia.org/wiki/Object_Process_Methodology

    Object process methodology (OPM) is a conceptual modeling language and methodology for capturing knowledge and designing systems, specified as ISO/PAS 19450. [1] Based on a minimal universal ontology of stateful objects and processes that transform them, OPM can be used to formally specify the function, structure, and behavior of artificial and natural systems in a large variety of domains.

  8. DMAIC - Wikipedia

    en.wikipedia.org/wiki/DMAIC

    Identify how the process inputs (Xs) affect the process outputs (Ys). Data are analyzed to understand the magnitude of contribution of each root cause (X) to the project metric (Y). Statistical tests using p-values accompanied by Histograms, Pareto charts, and line plots are often used to do this.

  9. Statistical process control - Wikipedia

    en.wikipedia.org/wiki/Statistical_process_control

    A process capability analysis may be performed on a stable process to predict the ability of the process to produce "conforming product" in the future. A stable process can be demonstrated by a process signature that is free of variances outside of the capability index. A process signature is the plotted points compared with the capability index.