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  2. Data management plan - Wikipedia

    en.wikipedia.org/wiki/Data_management_plan

    A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. [1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; [2] this may lead to data being well-managed in the present ...

  3. Technology roadmap - Wikipedia

    en.wikipedia.org/wiki/Technology_roadmap

    A technology roadmap is a flexible planning schedule to support strategic and long-range planning, by matching short-term and long-term goals with specific technology solutions. [ 1 ] [ 2 ] It is a plan that applies to a new product or process and may include using technology forecasting or technology scouting to identify suitable emerging ...

  4. DMAIC - Wikipedia

    en.wikipedia.org/wiki/DMAIC

    DMAIC or define, measure, analyze, improve and control [1] (pronounced də-MAY-ick) refers to a data-driven improvement cycle used for optimizing and stabilizing business processes and designs. The DMAIC improvement cycle is the core tool used to drive Six Sigma projects.

  5. Enterprise data management - Wikipedia

    en.wikipedia.org/wiki/Enterprise_data_management

    Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.

  6. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept

  7. Clinical data management - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_management

    The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure

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