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Essentials Path

Create your first collection

Use the 3-step Create Collection wizard to claim your own workspace. Done in 5 minutes.

5 min

A collection is a folder that bundles datasets · codes · pipelines · dashboards · knowledge. Everything in D.Hub happens inside a collection. This lesson walks you through the first one you make, by hand.

The Create Collection wizard

Go to Collections in the left sidebar. In the Explorer top header — the page title Collections area — click the Create collection button (+ icon) on the right. The 3-step wizard opens.

Step 1: Basic info

  • Name — Starts with a lowercase letter, uses only lowercase, digits, and underscores (_), up to 128 characters. Example: my_first_collection. If another collection already uses this name, you can't proceed.
  • Alias — The Korean / English label shown to users. The primary label in trees, tables, and search results. Example: My First Collection.
  • Description — One or two lines on what this collection is for.
  • Tags — For search and classification. The Collection tag is included by default.

Next to alias, description, and tags is an AI autofill button — fill the name only and let the three other fields auto-suggest.

Step 2: Select items (optional)

You can bundle existing datasets · codes · pipelines · knowledge into the new collection right at creation. For your first one, an empty collection works just fine — click Next to skip this step.

Step 3: Review

Confirm what you entered and click Create collection. The new collection is automatically selected in the left tree under My collections, and the detail screen opens.

Tour the new collection

The detail screen header shows the collection name · alias · owner · asset count. Asset count is 0 for now — we fill that in the next lesson.

What you should be able to do after this lesson

  • Find the Create collection button
  • Distinguish the four fields — Name / Alias / Description / Tags
  • Know that starting empty is fine

Next lesson

Add one CSV as a dataset to your new collection, and use the Preview / Schema tabs to read your data's shape.