A digital asset management system is only as powerful as the metadata behind it. Without a deliberate strategy for what information you capture, how you structure it, and how it connects to the way your team actually works, even the most capable DAM becomes a sophisticated storage system.
If you're new to the concept of DAM metadata, we recommend starting with What Is DAM Metadata and Why Does It Matter before diving into this guide. That post covers the fundamentals — what attributes are, how custom and system metadata differ, and why your attribute strategy is one of the most consequential decisions in your DAM implementation. This post picks up where that one leaves off, walking through the practical steps of building a strategy that works.
The most common mistake in building a metadata strategy is starting with the assets and asking "what information do we have about these files?" The better question is: "what do our users need to find, and how do they search for it?"
Your metadata strategy exists to serve the people who use your DAM every day. Before you define a single attribute field, spend time understanding your users' search behavior. Talk to the teams who will use the system most, including marketing, creative, brand, and legal, and ask them:
The answers will tell you exactly what your metadata needs to capture. If your creative team searches by campaign name, you need a campaign attribute. If your legal team needs to know rights expiration dates, you need a date field for that. If your sales team filters by region, region needs to be an attribute.
Build your strategy around real search behavior and real workflow needs, not around what seems logical on paper.
Once you understand what your users need, it helps to think about metadata in terms of four functional categories. A mature metadata strategy includes all four. We introduced this framework briefly in our metadata overview — here we go deeper on how each type functions in practice.
Descriptive metadata helps users find assets through search. These are the fields that describe the content of an asset — what's in it, what it's about, what campaign or product it relates to. Descriptive attributes feed your search index and are the primary driver of basic keyword search results. Examples include asset type, subject, campaign name, product line, and keywords or tags.
Structural metadata is used to classify and organize assets, often in place of or alongside folder structures. Where folders create a single fixed hierarchy, structural attributes let you categorize assets across multiple dimensions simultaneously. An asset can be tagged as belonging to a campaign, a region, a product category, and a content type all at once, without being duplicated across four different folders.
Technical metadata stores specific identifiers or details needed by external systems. If your DAM needs to connect with your product information management system, ecommerce platform, or ERP, technical attributes like SKU numbers, UPC codes, or product IDs are the bridge that makes those integrations work.
Administrative metadata drives your internal processes. Approval status, rights and licensing information, usage restrictions, expiration dates, region availability — these are the attributes that automate workflows, protect your organization from rights violations, and ensure the right assets reach the right people.
A balanced metadata strategy captures all four types. When you review your proposed attribute fields, check that you have representation across all four categories, not just descriptive tags.
Not all metadata is the same, and the type of attribute field you choose for each piece of information matters. NetX supports six custom attribute field types, each suited to different kinds of data.
Text fields accept any free-form text input. Use these for fields where the values will be unique to each asset and a controlled list wouldn't make sense — a caption, a brief description, or a specific identifier.
Text area fields are like text fields but designed for longer content — notes, usage instructions, or extended descriptions.
Pulldown fields present a single-select dropdown of predefined values. Use these when each asset should have exactly one value from a controlled list — status (Draft, Approved, Archived), region (North America, EMEA, APAC), or asset type (Photography, Video, Illustration).
Tag fields allow multiple values to be selected from a controlled list. Use these for attributes where an asset might belong to more than one category — products featured, campaigns associated, industries targeted. Tags are extremely powerful for search and filtering because they allow assets to be found across multiple dimensions.
Number fields store numerical data — useful for things like version numbers, durations in seconds, or any identifier that needs to be stored as a number rather than text.
Date fields store date values and support date range searches in advanced search. Essential for expiration dates, rights windows, shoot dates, and any workflow that is time-sensitive.
One important note: attribute types cannot be changed after they're created. If you set up a field as a text field and later realize it should be a pulldown, you'll need to create a new field and re-tag all affected assets. Getting your field types right from the beginning saves significant rework down the line.
Once you've identified which fields will use pulldown or tag types, you need to define the values for each controlled vocabulary list.
This is where many organizations underestimate the work involved and the payoff. A well-built controlled vocabulary is one of the highest-value investments you can make in your DAM. It makes cataloging faster, keeps metadata consistent, and produces dramatically better search results.
Here's how to build yours:
Start with what you have. If you're migrating from an existing system or shared drive, look at the naming conventions and folder structures already in use. These often contain the raw material for your vocabulary lists — the categories and terms your organization already uses.
Involve the right people. Your vocabulary lists should reflect the language used across your organization, not just the DAM admin's preferred terminology. Involve representatives from each team that will use the system to make sure the values resonate with the people who will be selecting them during cataloging.
Keep lists manageable. Vocabulary lists that are too long become just as hard to use as free-form text fields. Aim for lists that are comprehensive enough to cover your real-world needs but focused enough that users can scan them quickly.
Plan for evolution. Your vocabulary lists will need to change over time as your business evolves. One of the great advantages of controlled vocabularies in NetX is that when you update a value, the change automatically rolls out across all assets carrying that value, so your vocabulary lists can grow and evolve without creating cleanup nightmares.
One of the most important principles in metadata strategy is restraint. More fields are not always better.
When a DAM has too many attribute fields, cataloging becomes a burden. Users skip optional fields, required fields create friction during import, and the system becomes so complex that adoption suffers. For most organizations, 10 to 20 custom attribute fields is the right range. This is enough to support a robust metadata strategy across all four categories without overwhelming the people who need to catalog assets.
When evaluating your proposed attribute list, ask these questions for each field:
If the answer to all four questions is no, the field probably doesn't belong in your core attribute set.
Even with a focused set of 15 attribute fields, not every field is relevant to every user in every context. A photographer cataloging new shoot assets doesn't need to see rights management fields. A legal reviewer doesn't need to see campaign tags.
Attribute sets solve this by grouping related fields together and surfacing them in the right context. You might create one set for creative cataloging, one for rights management, one for sales enablement, and one for video-specific metadata.
The same field can appear in multiple sets, and NetX administrators can create sets for everyone while individual users can also build and share their own. Attribute sets also control which field label appears underneath asset thumbnails in the gallery view, making it easy to see the most relevant information at a glance for any given workflow.
The best metadata strategy is one your team will actually follow. That means reducing the manual effort involved in tagging assets as much as possible.
Embedded metadata mapping is one of the most powerful tools available. Many assets, particularly images and videos, already contain metadata embedded in the file itself in formats like EXIF, XMP, IPTC, and Dublin Core. As we noted in our introduction to DAM metadata, this embedded metadata is visible in NetX but not automatically searchable unless it's explicitly mapped to custom attribute fields on import. Setting up this mapping means assets arrive pre-populated with valuable metadata without any manual entry.
Attribute Profiles allow you to define default attribute values that are automatically applied to assets imported into a specific folder or under specific conditions, reducing repetitive manual entry for assets that share common attributes.
Metadata Lookups let NetX pull attribute values from external data sources automatically, keeping your DAM in sync with other systems without manual updates.
AI-powered tools like Google Vision integration and Smart Labels can automatically analyze image content and apply relevant tags, a powerful way to add descriptive metadata at scale, especially during a large migration.
If you're setting up a new DAM or planning a migration, use this checklist to make sure your metadata strategy is ready before assets start flowing in:
A metadata strategy isn't a one-time project that ends when your DAM goes live. It's an ongoing practice that evolves as your organization grows, your content library expands, and your team's needs change.
Start with a focused, well-designed set of attributes. Build in controlled vocabularies from day one. Automate wherever you can. And revisit your strategy at least once a year to make sure it's still serving your team as well as it should be.
New to DAM metadata? Start with What Is DAM Metadata and Why Does It Matter for the foundational concepts.
This is part of the NetX Metadata Playbook series. Read the previous post: Why Your DAM Search Is Failing — And How Metadata Fixes It .