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Master data management (MDM) is a discipline in which business and information technology collaborate to ensure the uniformity, accuracy, stewardship, semantic consistency, and accountability of the enterprise's official shared master data assets.
With the emergence of the Internet, the capability of MDBs increased. Web-enabled MDBs provide a more centralized management and conservation of Materials data. Finding and accessing the required data is faster than to search for them in a traditional manner, e.g. from handbooks or Microsoft Excel files.
Materials data is a critical resource for manufacturing organizations seeking to enhance products, processes and, ultimately, profitability. This data describes the properties and processing of the materials that these organization uses - metals , alloys , plastics , composite materials , ceramics , etc.
WordPress (WP, or WordPress.org) is a web content management system.It was originally created as a tool to publish blogs but has evolved to support publishing other web content, including more traditional websites, mailing lists, Internet forums, media galleries, membership sites, learning management systems, and online stores.
A configuration item type (or CI type) is the data type of the element or configuration item an enterprise wishes to store within the CMDB. At a minimum, all software, hardware, network, and storage CI types are stored and tracked in a CMDB.
ISO 8000 is the international standard for Data Quality and Enterprise Master Data.Widely adopted internationally [1] [2] [3] it describes the features and defines the requirements for standard exchange of Master Data among business partners.
Product data management (PDM) is the name of a business function within product lifecycle management (PLM) that denotes the management and publication of product data. [1] In software engineering, this is known as version control. The goals of product data management include ensuring all stakeholders share a common understanding, that confusion ...
Materials informatics is at the convergence of these concepts, but also transcends them and has the potential to achieve greater insights and deeper understanding by applying lessons learned from data gathered on one type of material to others. By gathering appropriate meta data, the value of each individual data point can be greatly expanded.
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