⛏️Data Management: Data Asset (Definitions)

[information asset:] "Data in any form or media placed into meaningful context for users, collected in relation to business or research activity." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"The term data asset refers generically to organizational data, or to any transactional system, data storage system, or application that contains data required for business functions. Any of these systems might be involved in the production and use of data and therefore may affect its quality. Treating data as an asset enables organizations to manage and increase its value. The quality of the data in a system has direct effects on the successful execution of business functions and therefore the success of the enterprise as a whole." (Laura Sebastian-Coleman, "Measuring Data Quality for Ongoing Improvement ", 2012)

[information asset:] "digitally stored content owned by an individual or organization." ( Manish Agrawal, "Information Security and IT Risk Management", 2014)

"Any entity that is comprised of data. For example, a database is a data asset that is comprised of data records. A data asset may be a system or application output file, database, document, or web page. A data asset also includes a service that may be provided to access data from an application. For example, a service that returns individual records from a database would be a data asset. Similarly, a web site that returns data in response to specific queries would be a data asset." (CNSSI 4009-2015)

"Data assets refer to a system, application output file, document, database, or web page that companies use to generate revenues." (CFI) [source]

⛏️Data Management: Data Strategy (Definitions)

"A business plan for leveraging an enterprise’s data assets to maximum advantage." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

[enterprise data strategy:] "A data strategy supporting the entire enterprise." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

[data management strategy:] "Selected courses of actions setting the direction for data management within the enterprise, including vision, mission, goals, principles, policies, and projects." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"A data strategy is a plan for maintaining and improving the quality, integrity, security, and access of the enterprise data. It typically includes business plans that describe how the data will be used to support the enterprise business strategy and goals." (Dewey E Ray, "Valuing Data: An Open Framework", 2018)

"A data strategy is not an algorithm, buzzword, IT project, technology or application, collection of data in storage, department or team, or project or tactic. A data strategy is a set of organization-wide objectives leading to highly efficient processes that turn data resources into outcomes that help the organization fulfill its mission." (Harvinder Atwal, "Practical DataOps: Delivering Agile Data Science at Scale", 2019)

"A data strategy is a plan designed to improve all the ways you acquire, store, manage, share, and use data." (Evan Levy, "TDWI Data Strategy Assessment Guide", 2021)

"A data strategy is a central, integrated concept that articulates how data will enable and inspire business strategy." (MIT CISR)

"A data strategy is a common reference of methods, services, architectures, usage patterns and procedures for acquiring, integrating, storing, securing, managing, monitoring, analyzing, consuming and operationalizing data." (DXC.Technology) [source]

"A data strategy is a highly dynamic process employed to support the acquisition, organization, analysis, and delivery of data in support of business objectives." (Gartner)

⛏️Data Management: Data Dictionary (Definitions)

"The system tables that contain descriptions of the database objects and how they are structured." (Karen Paulsell et al, "Sybase SQL Server: Performance and Tuning Guide", 1996)

"A set of system tables stored in a catalog. A data dictionary includes definitions of database structures and related information, such as permissions." (Anthony Sequeira & Brian Alderman, "The SQL Server 2000 Book", 2003)

"Software in which metadata is stored, manipulated and defined – a data dictionary is normally associated with a tool used to support software engineering." (Keith Gordon, "Principles of Data Management", 2007)

"A list of descriptions of data items to help developers stay on the same track." (Rod Stephens, "Beginning Database Design Solutions", 2008)

"The place where information about data that exists in the organization is stored. This should include both technical and business details about each data element." (Laura Reeves, "A Manager's Guide to Data Warehousing", 2009)

"Data dictionary are mini database management systems that manages metadata. It is a repository of information about a database that documents data elements of a database. The data dictionary is an integral part of the database management systems and stores metadata or information about the database, attribute names and definitions for each table in the database." (Vijay K Pallaw, "Database Management Systems" 2nd Ed., 2010)

"In the days of mainframe computers, this was a listing of record layouts, describing each field in each type of file." (David C Hay, "Data Model Patterns: A Metadata Map", 2010)

"Software coupled with a data store for managing data definitions." (Craig S Mullins, "Database Administration", 2012)

"A database containing data about all the databases in a database system. Data dictionaries store all the various schema and file specifications and their locations. They also contain information about which programs use which data and which users are interested in which reports." (SQL Server 2012 Glossary, "Microsoft", 2012)

"A reference by which a team can understand what data assets they have, how those assets were created, what they mean, and where to find them." (Evan Stubbs, "Delivering Business Analytics: Practical Guidelines for Best Practice", 2013)

"A repository of the metadata useful to the corporation" (Daniel Linstedt & W H Inmon, "Data Architecture: A Primer for the Data Scientist", 2014)

"A comprehensive record of business and technical definitions of the elements within a dataset. Also referred to as a business glossary." (Jonathan Ferrar et al, "The Power of People", 2017)

"A database containing data about all the databases in a database system. Data dictionaries store all the various schema and file specifications and their locations." (BAAN)

"A read-only collection of database tables and views containing reference information about the database, its structures, and its users." (Oracle)

"A set of system tables, stored in a catalog, that includes definitions of database structures and related information, such as permissions." (Microsoft Technet)

"A set of tables that keep track of the structure of both the database and the inventory of database objects." (IBM)

"A specialized type of database containing metadata; a repository of information describing the characteristics of data used to design, monitor, document, protect, and control data in information systems and databases; an application system supporting the definition and management of database metadata." (TOGAF)

"Metadata that keeps track of database objects such as tables, indexes, and table columns." (MySQL)