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Which Metadata Fields Does a Video Team Really Need to Fill In?

The question we hear most is how much metadata is enough. This article answers it with a short, workable set of fields and the reasoning behind each one.

Priya Raman · · 6 minutes to read

Which Metadata Fields Does a Video Team Really Need to Fill In?

The question we hear most often

When teams join the metadata module, the first thing someone asks is nearly always the same: how much of this do we actually have to fill in? It is a fair question. Most production teams have tried a spreadsheet of tags at some point, filled it in with enthusiasm for two weeks, and then watched it drift out of date once a deadline arrived. The worry behind the question is rarely laziness. It is a sensible fear that a long list of fields will cost more time than it ever returns.

My answer, as the instructor for metadata and archives, is that the right amount is the smallest set that lets a stranger find a clip without asking you. That stranger might be a new editor, a producer returning to a job after a year, or you, months from now, with no memory of the shoot. If a field does not help that person, it is probably decoration.

This article gives the answer in practical terms, so you can apply it to your next project without redesigning your whole library.

Start with the questions people ask later

Good metadata is built backwards from the searches people run. Think about the requests that reach your team after a project closes: find the interview with the site manager, find every drone shot of the river, find the clean version of the opening title. Each request points to a field. Who is in the clip, what is shown, where it was filmed, and what state the file is in.

Write down ten requests your team has really received in the past season. You will usually find that five or six fields cover nearly all of them. That list, not a template from somewhere else, is the starting point for your own tagging scheme.

In the course we ask learners to do exactly this with a sample project drive. It takes less than an hour, and it turns an abstract discussion about metadata into a short, concrete list that the whole team recognises as its own.

  • Who appears or speaks in the clip
  • What the clip shows, in plain words
  • Where and when it was shot
  • What status the file has, such as raw, selected or final

A short set of fields that earns its keep

For most small and mid-sized teams, I recommend a core of about six fields applied to every clip and export. Project name and shoot date anchor the file in time. A location and a subject field describe what the camera saw. A status field says whether the file is raw material, a selected take or an approved export. A rights or usage note records any restriction, such as a release that covers only one campaign.

Resist the urge to add more at the start. Every extra field is a small decision someone must make for every clip, and decisions multiply fast across a library of thousands of files. It is far easier to add a seventh field later, when a real need appears, than to persuade a team to stop filling in a field that nobody uses.

Keep the wording of each field consistent too. If one editor writes interview and another writes talking head, the search will quietly split in two.

Controlled words beat free text

The most common reason tagging fails is not missing metadata but inconsistent metadata. Free text feels fast, yet it produces five spellings of the same location and three names for the same person. A small controlled list solves most of this. Agree on a handful of allowed values for status, a short list of locations you return to often, and one standard form for each name.

This does not need special software. A shared document that the team can see while tagging is enough to start with, provided someone owns it and keeps it short. Where your editing tools support custom fields or keyword collections, the same list can sit inside them.

In the practice sessions we review each learner's list together and merge near-duplicates. People are usually surprised how many words collapse into one once they see them side by side, and how much quicker tagging becomes afterwards.

  • Choose one spelling for each location and person
  • Limit status to a few fixed values
  • Name one owner for the word list

Tagging at the right moment

Timing matters as much as the fields themselves. Metadata added during ingest, while the shoot is still fresh, takes seconds. The same metadata added a year later, from memory and guesswork, takes far longer and is less accurate. Build a short tagging step into the moment footage first lands on your drive, before editing begins.

Exports deserve the same attention, and they are often forgotten. A final file that leaves the building without its project name, version and approval status is hard to place once it comes back, whether it returns from a client, a broadcaster or a social platform.

A realistic aim is not perfection but a habit. Ten minutes of tagging after each shooting day, done by whoever handled the cards, is usually enough to keep a library searchable without anyone feeling it as a burden.

Checking that it works

Once the fields are in use, test them. Ask someone who did not work on a project to find three specific clips using only the metadata. Time how long it takes and note where they get stuck. A failed search tells you which field is vague, which word is missing, or which clip was never tagged at all.

Repeat the test every few months, and adjust the list rather than adding to it endlessly. Metadata is a working tool, not an archive of good intentions. When the people who search most often say it saves them time, you have the right amount.

If you want to practise this on material of your own, the metadata module walks through the whole exercise step by step, using a sample project drive and your own list of questions.

So, how much metadata is enough? Enough that someone who was not on the shoot can find the clip they need within a minute or two. For most teams that means a handful of consistent fields, a short list of agreed words, and a few minutes of tagging while the footage is still fresh. Start small, test it with a colleague, and let real searches decide what to add next.

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