Data Management Language - significado y definición. Qué es Data Management Language
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Qué (quién) es Data Management Language - definición

DISCIPLINES RELATED TO MANAGING DATA AS A RESOURCE
Data Management; Data maintenance; Integrated data management; User:Chafas/Sandbox/Integrated Data Management; Integrated Data Management; Test Data Management; Data consolidation; Data lifecycle; Research data lifecycle; Research data management

Data Management Language      
<language> (DML) 1. Any language for manipulating data or files, e.g. IBM's Distributed Data Management (DDM). 2. An early ALGOL-like language with lists and graphics, that ran on the Honeywell 635. ["DML: A Data Management Language", D.W. Bray et al, GE, Syracuse NY]. (1999-06-07)
Data management plan         
FORMAL DOCUMENT OUTLINING HOW RESEARCH DATA WILL BE TREATED
User:Carly805/Data Management Plan; Data Management Plan; Data management plans
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. 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; this may lead to data being well-managed in the present, and prepared for preservation in the future.
Data management platform         
  • An overview of how data is processed through a DMP.
  • An example of how data was stored in the early days of data management.
TECHNOLOGY PLATFORM USED FOR COLLECTING AND MANAGING DATA, MAINLY FOR DIGITAL MARKETING PURPOSES
User:Cldt/sandbox/Data Management Platform (DMP); Draft:Data Management Platform; Data Management Platform
A data management platform (DMP) is a software platform used for collecting and managing data. They allow businesses to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns.

Wikipedia

Data management

Data management comprises all disciplines related to handling data as a valuable resource.