What Is Metadata and Why Is It as Important as the Data

Meta Search Engine: A meta search engine is a type of search engine that gives results based on a combination of results from other search engine databases. It specializes in concatenating databases from a variety of search engines and linking search results to relevant sources. A meta search engine is also known as a metasearch engine. The PREMIS maintenance activity is responsible for maintaining, supporting, and coordinating future revisions to the PREMIS data dictionary. The Preservation Metadata: Implementation Strategies Working Group, convened by OCLC and RLG, initially developed the PREMIS data dictionary as a specification with the goal of creating an implementable set of "core" preservation metadata elements, with Nov 27, 2010 · The Power of Metadata: Deepak Jagdish and Daniel Smilkov at TEDxCambridge 2013 - Duration: 9:58. TEDx Talks 82,526 views. 9:58. GOOGLE SEO - BEST PRACTICES: Meta descriptions are HTML attributes that provide concise summaries of web pages. Meta description tags, while not tied to search engine rankings can have a positive effect on click-through rates.

Dec 12, 2017 · Metadata is data about data. In other words, it is data that is used to describe another item's content. The term metadata is often used in the context of Web pages, where it describes page content for a search engine.

Difference Between Data and Metadata (with Comparison Nov 16, 2016 METADATA | meaning in the Cambridge English Dictionary metadata definition: 1. information that is given to describe or help you use other information: 2. information that is…. Learn more.

Metadata | Definition of Metadata at Dictionary.com

Meta definition, (in ancient Rome) a column or post, or a group of columns or posts, placed at each end of a racetrack to mark the turning places. See more. Data mapping - Wikipedia In computing and data management, data mapping is the process of creating data element mappings between two distinct data models.Data mapping is used as a first step for a wide variety of data integration tasks, including: . Data transformation or data mediation between a data source and a destination; Identification of data relationships as part of data lineage analysis