Meaning of Metadata & Data Standards(MDDS)

Posted on 10 June 2022 Category : Indian Tax Terms

Term Metadata & Data Standards(MDDS)

In this article, the information about Metadata & Data Standards(MDDS) is explained here.

Metadata & Data Standards(MDDS)

Data Standards are those documented agreements and norms on representation, format, definition, structuring, tagging, transmission, manipulation, and use of data. Data Standards enable consistent recording of information and are fundamental to efficient sharing and exchange of information. They provide the rules for structuring information, so that the data entered into a system can be reliably read, sorted, indexed, retrieved, communicated and shared between systems. Metadata takes its importance once the Data Standards are in place. Metadata is the data that defines and describes another data or information. It is used to manage data, information and knowledge. Metadata is the structured information that describes, explains, locates or otherwise makes it easier to retrieve, use or manage an information resource.

A Book Catalogue in a Library is a simple example of Metadata. The different data elements of information pertaining to a book such as Title of the Book, Author’s name, Publication Date, Publication Language, Name of Publisher, Subject, Category, Keywords, etc. are describing and defining the attributes of a book. Hence, these constitute the metadata of the book. An integrated service in a typical E-Governance system would involve multiple domains, and deal with its various entities. Each of these entities is defined with the attributes called data elements. Similar kind of data elements are defined by different domains based on their own preset descriptions, data formats and data sizes. For example, the attribute “Date”related to a particular event may be represented in different formats such as dd/mm/yyyy, mm/dd/yyyy, or dd-mm-yyyy in other applications. Applications that are sharing data in such formats may interpret values differently, resulting in misinformation and unreliable data. This poses a major challenge in sharing data and information among the various applications.

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