Metadata creation and management are crucial for preserving and organizing rescued stories. It's like giving each story a special ID card with all its important details. This helps us find, understand, and take care of these stories over time.
Good metadata makes stories easy to find and use. It's not just about describing what a story is about, but also keeping track of technical stuff like file types and when it was created. This info helps keep stories safe and accessible for years to come.
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Metadata is structured data that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource
Provides essential context about a digital asset
Enables users to find, identify, and understand digital resources
Descriptive metadata aids in the discovery and identification of digital assets
Includes elements like title, author, subject, and keywords
Allows users to find relevant resources through searching and browsing
Example elements: "The Great Gatsby" (title), "F. Scott Fitzgerald" (author), "American literature" (subject)
Administrative metadata helps manage a resource over time
Includes information such as creation date, file type, technical details, and access permissions
Critical for long-term maintenance and preservation of digital assets
Example elements: "2022-01-15" (creation date), "image/jpeg" (file type), "John Doe" (creator)
Structural metadata indicates how compound objects are put together
Defines the relationships between parts of a digital asset
Ensures that the resource can be rendered as a coherent whole
Example: specifying the order of pages in a digitized book to form chapters
Preservation metadata documents the provenance and authenticity of a resource
Supports long-term access to digital assets, even as file formats and systems change
Includes information about the origin, chain of custody, and preservation actions taken
Example elements: "Digitized from original manuscript" (provenance), "SHA-256 checksum" (fixity information)
Metadata standards provide rules for structuring and encoding metadata
Ensure consistency and enable interoperability between systems
Choice of standard depends on material type, community of practice, and intended uses
Examples: Dublin Core (general purpose), MODS (bibliographic), VRA Core (visual resources)
Dublin Core is a widely adopted, general purpose metadata standard
Defines 15 core elements for describing a wide range of networked resources
Known for its simplicity and flexibility
Core elements: Title, Creator, Subject, Description, Publisher, Contributor, Date, Type, Format, Identifier, Source, Language, Relation, Coverage, Rights
MODS (Metadata Object Description Schema) is used for library applications
More detailed than Dublin Core, but less complex than full MARC cataloging
Suitable for bibliographic resources such as books, articles, and archival materials
VRA Core describes works of visual culture and their images
Consists of a metadata element set and a blueprint for hierarchical structure
Used for art, architecture, and other visual resources
PREMIS (Preservation Metadata: Implementation Strategies) is the standard for digital preservation metadata
Defines a core set of metadata elements for preservation activities
Ensures long-term usability of digital objects
Example elements: "Object identifier", "Preservation level", "Significant properties", "Event outcome"
Consistency in metadata creation is essential for effective search and retrieval
Metadata fields should be used in a uniform manner
Data values should be entered according to standard conventions
Example: personal names in inverted order (Last name, First name), dates in YYYY-MM-DD format
Accuracy means the metadata correctly reflects the resource's attributes
Inaccurate metadata can lead users to irrelevant resources or make a resource unfindable
Metadata should be created by those with sufficient subject knowledge
Authority control ensures names, places, and other key values are correct and consistent
Maintaining Metadata Completeness and Currency
Completeness refers to the extent to which all required metadata fields are populated
Missing data can reduce the findability and usability of a resource
Required fields should be defined based on user needs and the nature of the collection
Completeness can be checked through data audits
Metadata records should be maintained over time
Ensures ongoing accuracy and relevance
Involves adding new metadata, correcting errors, and updating values
Maintenance activities should be prioritized based on impact and available resources
Automated tools can assist in identifying records needing review
Types of Controlled Vocabularies
A controlled vocabulary is an organized arrangement of words and phrases used to index and retrieve content
Includes preferred and variant terms
Has a defined scope or describes a specific domain
Examples: subject headings, taxonomies, thesauri
Taxonomies organize concepts into a hierarchical structure
Used to classify content and show relationships between concepts
Broader terms represent general concepts, narrower terms represent specific concepts
Related terms indicate associative relationships
Thesauri provide a detailed set of relationships between terms
Include hierarchy, equivalence, and association relationships
Preferred terms used for indexing, non-preferred terms direct users between concepts
Example relationships: Broader Term (BT), Narrower Term (NT), Related Term (RT), Use For (UF)
Developing and Maintaining Controlled Vocabularies
Developing a controlled vocabulary is an iterative process
Define the scope and identify key concepts
Determine term relationships and establish term forms
Document guidelines for use
Requires input from subject experts and users
Controlled vocabularies and taxonomies should be regularly maintained
Add new terms, refine relationships, and ensure continued relevance to user needs
Maintenance activities: adding new terms, deprecating outdated terms, refining relationships
Based on user feedback and changes in the field