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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. Technical data management system - Wikipedia

   en.wikipedia.org/wiki/Technical_data_management...

   Technical data refers to both scientific and technical information recorded and presented in any form or manner (excluding financial and management information). [1] A Technical Data Management System is created within an organisation for archiving and sharing information such as technical specifications, datasheets and drawings.

6. Big data maturity model - Wikipedia

   en.wikipedia.org/wiki/Big_Data_Maturity_Model

   The TDWI big data maturity model is a model in the current big data maturity area and therefore consists of a significant body of knowledge. [6] Maturity stages. The different stages of maturity in the TDWI BDMM can be summarized as follows: Stage 1: Nascent. The nascent stage as a pre–big data environment. During this stage:

7. Data steward - Wikipedia

   en.wikipedia.org/wiki/Data_steward

   The EPA metadata registry furnishes an example of data stewardship. Note that each data element therein has a "POC" (point of contact). In 2023, ETH Zurich launched the Data Stewardship Network (DSN) to facilitate collaboration among employees engaged in data management, analysis, and code development across research groups. The DSN serves as a ...