Tags vs. metadata in DAM: What’s the difference?

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Metadata and tags are 2 indispensable yet commonly confused elements successful digital plus absorption (DAM).

In the discourse of DAM, metadata is the nexus that connects objects, and tags are user-defined elements that people objects for idiosyncratic findability. While immoderate users deliberation they’re the same, they are not.

Understanding the quality betwixt each constituent is important for mounting up and maintaining your DAM.

The modular explanation of metadata is usually “data astir data.” To me, the important portion of that explanation is the connection “about.” Metadata tells america the “aboutness” of things — accusation objects — successful systems. 

For example, an .mp4 (video) record uploaded to your DAM whitethorn beryllium “about” your company’s latest work offering. Other information that describes the “aboutness” of the record mightiness be:

  • Which bundle the video was created in.
  • What day and clip the record was finalized.
  • The run for which the video was deployed. 

These peculiar metadata “data points” are the things a idiosyncratic mightiness deliberation astir erstwhile looking for the video record astatine a aboriginal date.

Keeping way of specified metadata information — oregon elements, which is the overmuch little confusing mode of talking astir metadata information — is captious for DAM administrators to marque searching a fast, easy, and productive instrumentality for aboriginal users. 

Dig deeper: 3 steps to superpower your DAM system

Metadata standards

While determination are apt hundreds of elements your institution could perchance support way of, the last database of metadata elements should beryllium kept abbreviated and contained. Most of those elements should beryllium automatically extracted by your DAM platform. 

For example, elements specified arsenic the tallness and width, record format, camera marque and model, and different method photograph information relating to analog and integer files are generated by camera hardware and extracted erstwhile photograph files are uploaded. 

Any metadata that tin beryllium auto-generated successful this way, bypassing manual information entry, is highly desirable. The effect is little involution by DAM administrators and improved method accuracy. 

When considering what metadata elements to adhd to your metadata schema, see what project, marketing, sales, oregon different absorption tools users enactment in. 

A study listing the metadata fields contained successful forms the strategy administrators person built volition incorporate the metadata elements astir captious for those extremity users. These are the elements users volition retrieve and hunt for, much than the names of idiosyncratic files. 

Tagging is for users

Beyond the information important for your idiosyncratic groups, idiosyncratic users often person ways of searching for things that are unsocial to them. 

For example, erstwhile searching for albums successful my euphony software, I thin to hide the medium names but retrieve the medium covers. For this reason, I tag my albums with colors oregon objects recovered connected the covers truthful that I tin find them again. But these are tags that would beryllium meaningless to different euphony fans. 

But accidental I americium a copywriter who needs to update transcript from past year’s vacation campaigns, I person to find past year’s Black Friday copy. Perhaps I person besides had to hunt for Back to School and Memorial Day merchantability transcript successful the past. 

I mightiness privation to tag specified assets with the connection “holiday” to find them again erstwhile that request rolls astir adjacent year. I mightiness usage different keyword, similar “festive” oregon “special sales.” 

Either way, my DAM librarian volition privation to supply a tagging enactment truthful users tin use tags to files truthful they tin find assets they often use. 

Tags let this without disturbing the captious metadata that powers the DAM itself. They besides supply immoderate level of power implicit their usage of the DAM. 

Tags tin easiness the load of learning a caller strategy and immoderate interest implicit files that person “disappeared” into a large, enterprise-level strategy truthful that they tin beryllium “found again” with small to nary effort. 

Dig deeper: How to physique your DAM foundation

Here is wherever the contented of tags and metadata tin get tricky. Tagging is utile for DAM administrators to supply precocious hunt filtering for communal uses. 

In addition, tagging helps DAM admins auto-generate tags onto uploaded assets successful commonly searched folders truthful that they are instantly searchable upon ingest (a fancy librarian’s oregon archivist’s connection for “import”). 

However, the cardinal quality betwixt tags and metadata is that metadata elements should ever beryllium standardized.

Standard elements are disposable successful internationally recognized, commonly utilized and published schemas specified arsenic Dublin Core, PREMIS, IPTC, XMP (maintained by Adobe) and others. 

Standard elements let your plus metadata to easy transportation and beryllium automatically extracted into immoderate different database, accusation absorption system, oregon DAM, should concern needs change. 

Depending connected the DAM platform, enterprise-specific tags you make whitethorn beryllium stored arsenic metadata. For example, the Adobe Experience Manager Assets (AEM Assets) level tin store tags this way, whether deployed successful the unreality oregon on-premises. It tin use enterprise-specific tags to assets that volition beryllium ingested into peculiar folders.

Administrators should beryllium the lone users who tin make and edit this benignant of metadata, arsenic they impact the full system. 

Dig deeper: A 12-step usher for implementing a integer plus absorption system

Make the astir of your DAM strategy with metadata and tagging

When deployed properly, metadata, tags and astute tags make a highly productive integer plus absorption strategy that tin rapidly instrumentality its concern and link much users to much intelligence property.

They lone necessitate a spot of cautious tending and pruning to assistance velocity the usage and findability of your intelligence property. 


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Opinions expressed successful this nonfiction are those of the impermanent writer and not needfully MarTech. Staff authors are listed here.


About The Author

Michelle Tackabery

Michelle Tackabery is simply a Digital Asset Management Specialist astatine Oneida Nation Enterprises. She is simply a integer contented librarian, Certified Knowledge Manager (CKM), and manager of firm selling assets. She is simply a seasoned integer marketer with acquisition creating websites, blogs, societal media, and an array of different integer assets optimized for outer hunt and interior findability utilizing CMS, DAM, KM, and a big of different tools & platforms. Michelle has proven expertise successful emerging technologies, SEO/SEM, developer/DevOps communications, virtualization, unreality and as-a-service (XaaS) solutions, web and mobile development, physics devices, the Internet of Things, automated intelligence/AI, accusation science, collections, curation, integer preservation, and metadata.


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