Metadata: Brief History

Metadata is a small amount of data that tells you about other data. This is an example of how the Great Library of Alexandria added a small, hanging tag to the end of each individual scroll in 280 BC, when they were still around. The tags gave the title, subject, and author, so library users didn’t have to unroll each scroll to figure out what was inside. This way, the scrolls could be put back where they belong. This is one of the earliest examples of metadata, even though librarians of the time didn’t call the information on the tags “metadata.” This led to the card catalogues, which were used in libraries a few decades ago. In 1967, MIT’s Stuart McIntosh and David Griffel talked about the need for a digital “meta language,” and they talked about how metadata could help. (data science in Malaysia)
Metadata is use to make it easier for researchers to find information and find resources. “Meta tags” are the words that appear in the text of the descriptions. Metadata is also use to organise electronic resources, give digital IDs, and help with the preservation and archiving of data.
What is Metadata
Metadata is a small amount of data that tells you about other data. This is an example of how the Great Library of Alexandria added a small, hanging tag to the end of each individual scroll in 280 BC, when they were still around. The tags gave the title, subject, and author, so library users didn’t have to unroll each scroll to figure out what was inside. This way, the scrolls could be put back where they belong. This is one of the earliest examples of metadata, even though librarians of the time didn’t call the information on the tags “metadata.” This led to the card catalogues, which were use in libraries a few decades ago. In 1967, MIT’s Stuart McIntosh and David Griffel talked about the need for a digital “meta language,” and they talked about how metadata could help.
How metadata is used (data science in Malaysia)
Metadata is use to make it easier for researchers to find information and find resources. “Meta tags” are the words that appear in the text of the descriptions. Besides, metadata is also use to organise electronic resources, give digital IDs, and help with the preservation and archiving of data.
Metadata helps researchers find resources by listing relevant criteria and giving location information. On the other hand, metadata can be use in digital marketing to help organise and show content, which can help with marketing efforts. Metadata increases the visibility of a brand and makes it easier to “find.”
Different metadata standards are use for different fields of study (such as digital audio files, websites, or museum collections). A web page, for example, might have metadata that tells you what kind of software was use to make it, what tools were use to make it, and where you can find more information about the subject. A museum collection, on the other hand, would have information about the type of art, the name of the artist, and the date it was make.
In the late 1900s:
In 1979, the International Press Telecommunications Council (IPTC) came up with standards for metadata and attributes that could be add to images. IIM is a file structure with metadata attributes that can be use to store images, text, and other types of media. The IPTC started working on it in the late 1980s. It was done in the early 1990s and made it easier for newspapers from all over the world to share news. A standard called IPTC 7901 helped connect teleprinters and computers. It was their first standard.
In 1994, Adobe came up with a way to “insert” metadata into digital image files. This way, metadata attributes and standards kept getting better (IPTC headers). Adobe used the IPTC’s IIM metadata definitions, but did not use the whole IIM structure. When you look at photos with IPTC Headers, they look like normal TIFF or JPEG images.
Though there are many different types of metadata systems and standards, there are also specialise and well-accept ways to group them. They wrote a paper called Metadata: A User’s View in 1994 that talked about two types of metadata: guide metadata and structural/control metadata. Guide metadata helps researchers find specific items, usually keywords (meta tags) that they can use in natural language to find them. Structured metadata refers to the names of database objects (tables, columns, keys, and indexes) and how they are name.
2000-2003
Metadata is an important part of the information industry, and in 2001, the National Information Standards Organization decided to get more serious about it. They published a document called Metadata Made Simpler: A Guide for Libraries. There is a manual that says this:
“There are a lot of different types of metadata, like descriptive, administrative, and structural ones.” Descriptive metadata is use for things like finding and identifying a resource. It can have things like a title, abstract, author, and keywords. Administrative metadata tells you how to run a resource, like when and how it was make, what kind of file it is, and who can see it. Rights management metadata is a type of administrative metadata that talks about how intellectual property rights are use. Structural metadata shows how things are put together, for example, how pages are arrange to make chapters.
Extensible Metadata Platform
It was call the Extensible Metadata Platform by Adobe when it first came out in 2001. (XMP). It has the same types of metadata as IPTC, but it also has the Extensible Markup Language (XML) and the Resource Description Framework (RDF), which are both simple digital languages for representing information.
An XMP-enabled application lets you add metadata to your content while you’re making it. This information can then be add to the file, and it can also be use by a content-management system. Useful information, such as the title, the author, searchable keywords, and copyright information, is record in a format that is easy to read.
In 2002, Ralph Kimball wrote a book called The Data Warehouse Toolkit. In it, he said metadata is “all the information that explains the structure, operations, and contents of the DW/BI system.”
Source: data science course malaysia , data science in malaysia