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The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...
The implementation of an EDM is closely related to the issues of data governance and data stewardship within an organization. An Enterprise Data Model (EDM) represents a single integrated definition of data, unbiased of any system or application. It is independent of “how” the data is physically sourced, stored, processed or accessed.
Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or new ontologies etc. It is based on knowledge about the enterprise, previous models and/or reference models as well as domain ontologies using model representation languages. [3]
Database model for MediaWiki 1.28.0 (2017) Different types of database models. A database model is a type of data model that determines the logical structure of a database. It fundamentally determines in which manner data can be stored, organized and manipulated. The most popular example of a database model is the relational model, which uses a ...
Systems modeling or system modeling is the interdisciplinary study of the use of models to conceptualize and construct systems in business and IT development. [ 2 ] A common type of systems modeling is function modeling , with specific techniques such as the Functional Flow Block Diagram and IDEF0 .
Federated architecture (FA) is a pattern in enterprise architecture that allows interoperability and information sharing between semi-autonomous de-centrally organized lines of business (LOBs), information technology systems and applications. Architecture areas of concern. Organisational architecture; Business architecture; Process architecture
Organization view: This provides an overview of the organizational structure of a company, including human resources, machines, hardware and their relationships, see also Organizational chart; Data view: This includes all events (that generate data) and environmental data, such as correspondence, documents, etc., i.e. all company-relevant ...
A data architecture aims to set data standards for all its data systems as a vision or a model of the eventual interactions between those data systems. Data integration, for example, should be dependent upon data architecture standards since data integration requires data interactions between two or more data systems. A data architecture, in ...