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Data format management (DFM) is the application of a systematic approach to the selection and use of the data formats used to encode information for storage on a computer.. In practical terms, data format management is the analysis of data formats and their associated technical, legal or economic attributes which can either enhance or detract from the ability of a digital asset or a given ...
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 ...
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
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.
It encompasses topics such as data architecture, security, quality, modelling, governance, [8] big data, data science, and more. [ 9 ] DAMA also provides a professional data management certification for individuals known as a Certified Data Management Professional (CDMP), [ 10 ] which is based on the DMBOK as a study reference. [ 11 ]
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.
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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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