meta-data


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meta-data

(data)
/me't*-day`t*/, or combinations of /may'-/ or (Commonwealth) /mee'-/; /-dah`t*/ (Or "meta data") Data about data. In data processing, meta-data is definitional data that provides information about or documentation of other data managed within an application or environment.

For example, meta-data would document data about data elements or attributes, (name, size, data type, etc) and data about records or data structures (length, fields, columns, etc) and data about data (where it is located, how it is associated, ownership, etc.). Meta-data may include descriptive information about the context, quality and condition, or characteristics of the data.

Not to be confused with Metadata.
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)
References in periodicals archive ?
The client extracts features from his signature and creates appropriate meta-data which is employed in the later phase of verification which ensues from the data integrity in the cloud storage.
* We extend the traditional vector space model to effectively rank XML documents based on meta-data.
For an organization looking to build an enterprise level meta-data and data model, a practical strategy may be to start with a high ROI data hot spot or a high visibility data specific project.
The Associated Press and the non-profit Media Standards Trust have unveiled a digital news "microformat" to "effectively encapsulate the content and key meta-data of every news story online," MediaPost reportedFriday.
Users are also forced to added meta-data to documents they upload to SharePoint.
Record Management features such as indexing of information, record retention and deletion schedules, use of standardized meta-data for unambiguous identification and description of stored information will be supported.
The announcement was made at the DAMA International Symposium & Wilshire Meta-data Conference, which is took place March 16-20 in San Diego, Calif.
Moreover, the application generates the appropriate set of meta-data to describe the new learning objects resulting from the assembly process.
She starts with the fundamentals for novices, including basic algorithms and statistics and the characteristics of patterns, then moves on the biopolymers, Bernoulli schemes and Markov, string pattern specifications, algorithms and pattern statistics, motif learning and patterns on meta-data such as permutation patterns and their probabilities, topological motifs, set-theoretic algorithmic tools, expression and partial order motifs.

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