Instead, you can simply enter some descriptive terms associated with the asset in a database to retrieve the item you’re looking for. You don’t need to recall its precise location, or even the name of the file in most cases (depending on the metadata tagging methodologies you’ve used). On the other hand, searching for an asset can take seconds instead of hours. If you’ve ever tried to find a file that you have stored somewhere among dozens (or hundreds) of folders on a computer – or even in a filing cabinet – you understand how painfully slow finding an asset can be if you don’t remember its precise location. What’s the point of all of these labels and descriptors? Companies that implement a DAM solution and establish a clearly defined metadata tagging process are able to search for digital assets, rather than find them. When implementing a digital asset management system, companies adopt either a single or some combination of methodologies to establish the process of assigning metadata tags to assets. Rights fields – This approach is used to provide information related to usage rights or asset ownership.A picklist can consist of suggested terms or enforced terms. Picklist – A picklist consists of descriptive terms a user can choose from.Field-level text – These are short descriptors that is organized in categories relevant to a particular collection of assets.Taxonomy – This structured metadata approach consists of hierarchical keywords.Keywords – These are descriptive terms that are assigned using a free-form text field or through an enforced list.There are several approaches to metadata tagging: Metadata tagging is the process of systematically assigning those tags to the digital assets in an archive or collection, typically using a rules-based system to ensure consistency. Administrative metadata – These metadata tags include information such as the file type and the date it was created.Structural metadata – Structural metadata tags provide information about how a digital asset is organized, such as whether it is part of one or more collections.Descriptive metadata – These are terms used to describe the digital asset, such as keywords, the file name, or author. Descriptive metadata makes it possible to identify, locate, and retrieve an asset (an object). These and other metadata tags can be grouped into three main categories of metadata: Metadata tags can include a variety of information such as: Metadata tagging is used in photo sharing applications, social media (in the form of geotagging, user tagging, and hashtags), and more. With so much content stored and consumed in digital format today, metadata tagging is a crucial component of modern information management. While this is one of the most commonly known uses of metadata, it’s far from the only one. Those terms are known as “metadata tags.” These tags are used to describe HTML documents, and in turn those tags are used by search engines, browsers, and other web services to determine when and how to display information from that page. Definition of Metadata TaggingĪbove, we mentioned that metadata consists of terms used to describe a digital asset. Here’s a closer look at metadata tagging, how it works, and why it’s a crucial practice in digital asset management. In the context of DAM, metadata tagging is the process of associating the proper terms and descriptors with your digital assets. Metadata is information used to describe a digital asset – in other words, it’s “data about data.” By using terms associated with a digital object to describe it, such as the date a file was created, the name of a file, an asset type or category, or the subject matter of a particular object, metadata helps to organize digital objects and makes it easier to find specific assets within a group of objects.
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