"Data about data. That is, information about the properties of data, such as the type of data in a column (numeric, text, and so on) or the length of a column, information about the structure of data, or information that specifies the design of objects such as cubes or dimensions. Metadata is an important aspect of SQL Server, Data Transformation Services, and OLAP Services." (Microsoft Corporation, "SQL Server 7.0 System Administration Training Kit", 1999)
"'Data about data' - for example, all information in the data dictionary." (Bill Pribyl & Steven Feuerstein, "Learning Oracle PL/SQL", 2001)
"Any data maintained to support the operations or use of a data warehouse, similar to an encyclopedia for the data warehouse. Nearly all data staging and access tools require some private meta data in the form of specifications or status. There are few coherent standards for meta data viewed in a broader sense. Distinguished from the primary data in the dimension and fact tables." (Ralph Kimball & Margy Ross, "The Data Warehouse Toolkit 2nd Ed ", 2002)
"Data (or information) about data. In the CLR, metadata is used to describe assemblies and types. It is stored with them in the executable files, and is used by compilers, tools, and the runtime system to provide a wide range of services. Metadata is essential for runtime type information and dynamic method invocation. Many architectures/systems use metadata - for example, type libraries in COM provide metadata." (Damien Watkins et al, "Programming in the .NET Environment", 2002)
"Information inside an assembly that describes its types. Metadata is required by .NET compilers for binding, required by the CLR for many of its services, and used by object browsers and IntelliSense to provide a rich programming experience. Metadata is the .NET version of COM type information (as found in a type library), but much more expressive." (Adam Nathan, ".NET and COM: The Complete Interoperability Guide", 2002)
"Information about the properties of data, such as the type of data in a column (numeric, text, and so on) or the length of a column." (Anthony Sequeira & Brian Alderman, "The SQL Server 2000 Book", 2003)
"(1) data about data; (2) the description of the structure, content, keys, indexes, and so forth, of data." (William H Inmon, "Building the Data Warehouse", 2005)
"Information about the properties of data, such as the type of data in a column (numeric, text, and so on) or the length of a column. It can also be information about the structure of data or information that specifies the design of objects, such as cubes or dimensions." (Thomas Moore, "EXAM CRAM™ 2: Designing and Implementing Databases with SQL Server 2000 Enterprise Edition", 2005)
"Literally, data about data. Metadata includes data associated with either an information system or an information object for description, administration, legal requirements, technical functionality, use, and preservation. Business metadata includes business names and unambiguous definitions of the data including examples and business rules for the data. Technical metadata is information about column width, data types, and other technical information that would be useful to a programmer or database administrator (DBA)." (Sharon Allen & Evan Terry, "Beginning Relational Data Modeling 2nd Ed.", 2005)
"Data which provides context or otherwise describes information in order to make it more valuable (e.g., more easily retrievable or maintainable); data about data." (Martin J Eppler, "Managing Information Quality" 2nd Ed., 2006)
"Information about how data is stored and structured as well as what the data means." (Reed Jacobsen & Stacia Misner, "Microsoft SQL Server 2005 Analysis Services Step by Step", 2006)
"Information about the properties of data, such as the type of data in a column (numeric, text, and so on) or the length of a column. Metadata can also be information about the structure of data or information that specifies the design of objects, such as cubes or dimensions." (Thomas Moore, "MCTS 70-431: Implementing and Maintaining Microsoft SQL Server 2005", 2006)
"Metadata usually refers to definitions and business rules that have been agreed on and stored in a centralized repository so that the business users - even those across departments and systems - use common terminology for key business terms. Metadata can include information about data’s currency, ownership, source system, derivation (e.g., profit = revenues minus costs), or usage rules. " (Jill Dyché & Evan Levy, "Customer Data Integration: Reaching a Single Version of the Truth", 2006)
"The tables and the fields defining the structure of the data; the data about the data." (Gavin Powell, "Beginning Database Design", 2006)
"(1) Data about data; (2) the description of the structure, content, keys, and indexes of data." (William H Inmon & Anthony Nesavich, "Tapping into Unstructured Data", 2007)
"Data about data is meta data. In other words, metadata is the data about the structure of the data in a database." (S. Sumathi & S. Esakkirajan, "Fundamentals of Relational Database Management Systems", 2007)
"All the information that defines and describes the structures, operations, and contents of the DW/BI system. We identify three types of metadata in the DW/BI system: technical, business, and process." (Ralph Kimball, "The Data Warehouse Lifecycle Toolkit", 2008)
"Data about data that label, describe, or characterize other data, and make it easier to retrieve, interpret, or use information. Major types include technical, business, and audit trail metadata. (See the definitions for the individual types.)" (Danette McGilvray, "Executing Data Quality Projects", 2008)
"Data about the database such as table names, column names, column data types, column lengths, keys, and indexes. Some relational databases allow you to query tables that contain the database's metadata." (Rod Stephens, "Beginning Database Design Solutions", 2008)
"In general terms, we will use the term metadata for descriptive information that is useful for people or systems to understand something. Common examples include a database catalog or an XML schema, both of which describe the structure of data." (Martin Oberhofer et al, "Enterprise Master Data Management", 2008)
"Data about the organization’s data, found in every data source throughout the enterprise. Metadata describes the information in these data resources. Metadata can be technical, describing the physical characteristics of the data, or it can be business-oriented, describing the way the data represents the needs of the business." (Tony Fisher, "The Data Asset", 2009)
"May be regarded as a subset of data, and are data about data. Metadata summarise data content, context, structure, inter-relationships, and provenance (information on history and origins). They add relevance and purpose to data, and enable the identification of similar data in different data collections." (Mark Olive, "SHARE: A European Healthgrid Roadmap", 2009)
"The definitions, mappings, and other characteristics used to describe how to find, access, and use the company’s data and software components." (Judith Hurwitz et al, "Service Oriented Architecture For Dummies" 2nd Ed., 2009)
"The information describing the properties, such as the type of data in a column (numeric, text, and so on), the length of a column, the structure of database objects, such as tables, measures, dimensions, and cubes, and so on." (Jim Joseph, "Microsoft SQL Server 2008 Reporting Services Unleashed", 2009)
"Data about data and data processes. Metadata is important because it aids in clarifying and finding the actual data." (David Lyle & John G Schmidt, "Lean Integration", 2010)
"Data about data and data processes. Metadata is important because it aids in clarifying and finding the actual data." (David Lyle & John G Schmidt, "Lean Integration: An Integration Factory Approach to Business Agility", 2010)
"Data about data, that is, data concerning data characteristics and relationships." (Carlos Coronel et al, "Database Systems: Design, Implementation, and Management" 9th Ed., 2011)
"Literally, ‘data about data’; data that defines and describes the characteristics of other data, used to improve both business and technical understanding of data and data-related processes." (DAMA International, "The DAMA Dictionary of Data Management", 2011)
"Way of describing data so that it can be used by a wide variety of applications." (Linda Volonino & Efraim Turban, "Information Technology for Management 8th Ed", 2011)
"Data about the data; a description or definition of the rows, columns, and/or links in a data set." (Gary Miner et al, "Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications", 2012)
"Information about the properties or structure of data that is not part of the values the data contains." (SQL Server 2012 Glossary, "Microsoft", 2012)
"Metadata is usually defined as 'data about data', but it would be better defined as explicit knowledge, documented to enable a common understanding of an organization’s data, including what the data is intended to represent (definition of terms and business rules), how it effects this representation (conventions of representation, data definition, system design, system processes), the limits of that representation (what it does not represent), what happens to it as it moves through processes and systems (provenance, lineage, information chain and information life cycle), how data is used and can be used, and how it should not be used." (Laura Sebastian-Coleman, "Measuring Data Quality for Ongoing Improvement ", 2012)
"The simplest definition of metadata is 'data about data'. To be a bit more precise, metadata describes data, providing information such as type, length, textual description, and other characteristics." (Craig S Mullins, "Database Administration: The Complete Guide to DBA Practices and Procedures 2nd Ed", 2012)
"Information stored within an assembly concerning the classes defined in that assembly (such as names and types of fields, method signatures, dependence on other classes, and so on)." (Mark Rhodes-Ousley, "Information Security: The Complete Reference, Second Edition" 2nd Ed., 2013)
"The definitions, mappings, and other characteristics used to describe how to find, access, and use the company’s data and software components." (Marcia Kaufman et al, "Big Data For Dummies", 2013)
"This term can mean a number of things depending on the context in which it is used. It can denote how a set of information is structured, such as the ISBN values assigned to books, the format of the UPC barcodes, and the Library of Congress classifications used in catalog books. It can also be a keyword assigned to a set of data to make it more easily searched for. For example, the list of keywords at the beginning of this book or the definition for hashtag used in online text message exchanges." (Kenneth A Shaw, "Integrated Management of Processes and Information", 2013)
"Data about data, or detailed information describing context, content, and structure of records and their management through time." (Robert F Smallwood, "Information Governance: Concepts, Strategies, and Best Practices", 2014)
"Descriptive data about data that is stored and managed in a database, in order to facilitate access to captured and archived data for further use." (Jim Davis & Aiman Zeid, "Business Transformation: A Roadmap for Maximizing Organizational Insights", 2014)
"The classic definition of metadata is 'data about the data'." (Daniel Linstedt & W H Inmon, "Data Architecture: A Primer for the Data Scientist", 2014)
"The definitions, mappings, and other characteristics used to describe how to find, access, and use the company’s data and software components." (Judith S Hurwitz, "Cognitive Computing and Big Data Analytics", 2015)
"Data about data, such as definitions, lists of values and access rights." (Boris Otto & Hubert Österle, "Corporate Data Quality", 2015)
"Data holding the description of other data. Meta means 'an underlying description'. Misnomer Term that suggests a wrong meaning or inappropriate name." (Hamid R Arabnia et al, "Application of Big Data for National Security", 2015)
"Artifacts of events and objects and contextual information that helps us understand the structure and meaning of data or facts. Example: the definitions of our data elements are metadata we store in the business glossary." (Gregory Lampshire, "The Data and Analytics Playbook", 2016)
"Metadata is often defined as 'data about data', a definition that is nearly as ubiquitous as it is unhelpful. A more content-full definition of metadata is that it is structured description for information resources of any kind." (Robert J Glushko, "The Discipline of Organizing: Professional Edition" 4th Ed., 2016)
"Data associated with other data that describes some important characteristics of the data to which it is bound. For example, the file length and file type associated with a file are metadata." (O Sami Saydjari, "Engineering Trustworthy Systems: Get Cybersecurity Design Right the First Time", 2018)
"Data that describes the characteristics of data; descriptive data." (Sybase, "Open Server Server-Library/C Reference Manual", 2019)
"Metadata describes the data itself. The term metadata is often used in relation to digital media, but in today’s world it plays a vital role in the overall data strategy and architectural design. Obviously metadata is companioned with the discipline metadata data management." (Piethein Strengholt, "Data Management at Scale", 2020)
"A repository whose data associates the tables and columns of a data warehouse with user-defined attributes and facts to enable the mapping of the business view, terms, and needs to the underlying database structure. Metadata can reside on the same server as the data warehouse or on a different database server. It can even be held in a different RDBMS." (Microstrategy)
"A set of data that gives information about other data." (Insight Software)
"descriptive data about data that is stored and managed in a database, in order to facilitate access to captured and archived data for further use." (SAS)
"Information about the properties or structure of data that is not part of the values the data contains." (Microsoft)
"Information describing the characteristics of data including, for example, structural metadata describing data structures (e.g., data format, syntax, and semantics) and descriptive metadata describing data contents (e.g., information security labels)." (NIST SP 800-53)
"Metadata describes other data within a database and is responsible for organization while a business or organization sifts through data sets." (Solutions Review)
"Metadata is data that summarizes information about other data." (Logi Analytics)
"Metadata is information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset. Generally speaking, the more valuable the information asset, the more critical it is to manage the metadata about it, because it is the metadata definition that provides the understanding that unlocks the value of data." (Gartner)
"Refers to 'data about data', such as: means of creation of the data, purpose of the data, time and date of creation, author of the data, location of the data, and standards used when created." (Board International)
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