metaadatkészítést

Metadata creation, or "metaadatkészítés" in Hungarian, refers to the process of generating descriptive information about a data resource. This metadata serves to explain the content, context, quality, and characteristics of the data, making it easier to find, understand, and use. The process typically involves identifying key attributes of the data and then assigning values to these attributes. These attributes can range from technical details like file format, size, and creation date, to more semantic information such as subject matter, keywords, author, and purpose.

The creation of metadata can be a manual, semi-automatic, or fully automatic process. Manual creation allows for the highest degree of accuracy and specificity, but it is labor-intensive. Semi-automatic methods often involve using templates or guided forms to assist users in populating metadata fields. Automatic metadata generation leverages algorithms and software to extract information directly from the data itself, for instance, by analyzing file headers or content. The choice of method often depends on the volume of data, the required level of detail, and available resources.

Well-structured and comprehensive metadata is crucial for effective data management, discovery, and interoperability. It enables users to quickly assess the relevance of a dataset without needing to inspect the raw data itself. In research, archives, and digital libraries, proper metadata creation is essential for cataloging, searching, and preserving information for future access and use. Different standards and schemas, such as Dublin Core or ISO 19115 for geospatial data, provide a framework for consistent and comparable metadata creation across various domains.