"Metadata (or metainformation) is 'data that provides information about other data', but not the content of the data itself..."
The process of creating and managing metadata, or data about the data contained in records, to aid in their retrieval and management.
Introduction to Metadata Management: An overview of what Metadata Management is, its significance, and its benefits.
Types of Metadata: Various types of metadata such as descriptive, technical, structural, and administrative metadata.
Metadata Standards: An overview of established metadata standards like Dublin Core, MODS, and MARC.
Metadata Modeling: How to design metadata models and hierarchies for efficient metadata management.
Data Governance: Aspects of metadata governance like policy development, data quality, and data security.
Metadata Architecture: Developing a metadata management system that meets organizational data needs, including metadata storage structures, workflows, and authorizations.
Metadata Mapping: Mapping data relationships to identify data dependencies between metadata and assets.
Metadata Extraction: Extracting metadata from various sources and integrating them into a central metadata repository.
Taxonomy and Ontology Management: Creating and managing standard classifications of metadata and avoiding the redundancy of the same metadata across multiple repositories.
Metadata Quality Assessment: Techniques for determining metadata quality and how to make improvements.
Metadata Storage and Retrieval: How to create efficient metadata storage and retrieval systems.
Data Integration: Strategies for importing and integrating metadata for an existing legacy system.
Managing Metadata for Big Data: Including big data systems and what information to consign in metadata for Big Data.
Data lineage: Understanding the relationships between data and where data sources originated from.
Data provenance: Tracking data throughout its lifecycle and assessing the impact of data’s transformations.
Metadata Interoperability: Integrating metadata from different sources and managing metadata efficiently.
Security and Privacy in Metadata Management: Ensuring data security by managing metadata permissions and discussing metadata privacy concerns.
Metadata Management Best Practices: Following the best practices of metadata management and avoiding common mistakes.
Technical metadata management: This type of metadata management deals with the technical aspects of data such as data attributes, data models, data structures, and data sources. It focuses on how data is stored and managed in a particular technology environment.
Business metadata management: This type of metadata management focuses on business-relevant information about data such as business rules, policies, standards, and procedures. It enables better data governance and decision-making processes.
Operational metadata management: This type of metadata management involves tracking the use and performance of data in real-time. It captures metrics such as the number of queries, response times, and data flow, which is useful for monitoring and optimizing data usage.
Behavioral metadata management: This type of metadata management is concerned with user behavior around data. It captures information about how end-users interact with data, such as use cases, browsing history, and search queries. Behavioral metadata management is often used for personalization and marketing purposes.
Application metadata management: This type of metadata management deals with the information about applications, such as version numbers and dependencies. It helps in maintaining and upgrading applications and their components.
Metadata lineage management: This type of metadata management refers to the tracking of data lineage (i.e. the track of data from its origin to its destination). It helps in ensuring data quality and compliance with regulatory requirements.
Data mapping metadata management: This type of metadata management involves mapping data elements from one system or format to another, usually in a transformation process.
Cross-domain metadata management: This type of metadata management involves integrating metadata from multiple domains or systems. It helps in ensuring consistency and accuracy in metadata across different systems.
Database metadata management: This type of metadata management deals with the metadata related to databases, such as database schemas, tables, and indexes. It helps in understanding the relationship between different data elements and entities.
Enterprise metadata management: This type of metadata management encompasses all the above types of metadata management and is focused on managing metadata enterprise-wide. It ensures that there is a systematic approach to managing, organizing, and sharing metadata across an organization.
"It is used for discovery and identification."
"It includes elements such as title, abstract, author, and keywords."
"It describes the types, versions, relationships, and other characteristics of digital materials."
"It provides information to help manage a resource, like resource type, permissions, and when and how it was created."
"It provides information about the contents and quality of statistical data."
"Statistical metadata is also called process data..."
"It provides information about the creator, copyright holder, and public licensing, if provided."
"Metadata is not strictly bound to one of these categories..."
"[Metadata] provides information about other data, but not the content of the data itself..."
"The main types of metadata include descriptive metadata, structural metadata, administrative metadata, reference metadata, statistical metadata, and legal metadata."
"Descriptive metadata is used for discovery and identification."
"Yes, structural metadata indicates how compound objects are put together, for example, how pages are ordered to form chapters."
"Administrative metadata includes information to help manage a resource, like resource type, permissions, and when and how it was created."
"Reference metadata describes the information about the contents and quality of statistical data."
"[Statistical metadata] may describe processes that collect, process, or produce statistical data."
"Yes, legal metadata provides information about the copyright holder."
"Legal metadata provides information about the copyright holder..."
"Yes, descriptive metadata is used for discovery and identification."
"Metadata can describe a piece of data in many other ways."