Metadata is defined as the data providing information about one or more aspects of the data; it is used to summarize basic information about data that can make tracking and working with specific data easier.
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10 Facts About Meta data
2.
Statistical data repositories have their own requirements for metadata in order to describe not only the source and quality of the data but what statistical processes were used to create the data, which is of particular importance to the statistical community in order to both validate and improve the process of statistical data production.
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3.
The combination of the metadata and master data elements results in a statement which is a metacontent statement i e "metacontent = metadata + master data".
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4.
Such Meta data helps classify, aggregate, identify, and locate a particular book, DVD, magazine, or any object a library might hold in its collection.
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5.
Comprehensive metadata for all experimental data is the foundation of the FAIR Guiding Principles, or the standards for ensuring research data are findable, accessible, interoperable, and reusable.
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6.
Each data type involves its own variety of metadata and the processes necessary to produce these metadata.
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7.
Data warehouses differ from business intelligence systems because BI systems are designed to use Meta data to create reports and analyze the information, to provide strategic guidance to management.
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8.
The purpose of a Meta data warehouse is to house standardized, structured, consistent, integrated, correct, "cleaned" and timely Meta data, extracted from various operational systems in an organization.
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9.
The extracted Meta data are integrated in the Meta data warehouse environment to provide an enterprise-wide perspective.
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10.
The story prefigures the modern consequences of allowing metadata to become more important than the real data it is concerned with, and the risks inherent in that eventuality as a cautionary tale.
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