Create a listing

Creating a new listing

Once you've uploaded a dataset, you can create a public listing for it. You can manage your listings under the Listings tab in the data studio. Select Add new item to get started on a new listing.

Selecting a listing type

The first step is to choose a listing type for your dataset. This controls how your dataset is priced. There are three options:

1. Buy Now + Bidding: Instant purchase and offers. Buyers may pay the Buy Now price immediately or submit bids at or above your minimum bid. This listing type is ideal for sellers who have some intuition for the value of their data, but would also evaluate private (sealed) offers from bidders in a continuous auction. Think of a variant of eBay auctions without a set deadline.

2. Buy Now Only: Fixed-price listing. Your dataset is available for immediate purchase at that price. No offers or auction functionality. This listing type is best for data owners who have a strong intuition for their data's value and do not want to evaluate offers below that price.

3. Bidding Only: Auction-style listing. No fixed price; potential buyers must place bids at or above your minimum bid. Buyers do not see other bid amounts and bidders. You choose which bids you'd like to accept. This is best for data owners who do not have a strong intuition for the value of their data and want to engage in open price discovery.

If you do choose an auction, note that all bids are sealed. You as the seller can see all bids as they come in, but other bidders cannot see competing bids.

Dataset valuation

If you're not sure what your data is worth, we've created a customized version of ChatGPT to help. Simply prompt this dataset valuation assistant with relevant context about your dataset and it will return a rough estimate for you as a starting point. Note: this is just an estimate based on market data from recent data licensing deals and factors like dataset uniqueness, quality, size, freshness, and modality. Remember, the value of data is highly contextual, and you ultimately know your data best.

Listing details

Once you've selected a listing type, you can fill in the details about your listing including a title, description, tags, image, dataset license, and dataset schema. A clear and detailed listing will stand out so try to be as comprehensive as possible here. We walk through each field below.

• Title: select the dataset file and name the listing clearly and succinctly.

• Description:

  • Short: the core details of the dataset (≤ 300 chars) which is shown on the explore page.

  • Long (markdown): more in-depth discussion of curation, quality checks, use-cases, uniqueness. You can write your long description in the Write section. Reference the Markdown cheatsheet if needed, or use our custom version of ChatGPT which can help write a listing for you in markdown, which you can paste in the Write section below. You can upload images to your description (e.g. a chart or helper images) using the image button in the top right. A good listing should include why your data is unique, how it can be used, how it was sourced and curated, and any checks that were completed for quality. Supplementary charts and links can also be useful.

• Image: select an image that best conveys your data. Don't have an engaging visual in mind? Feel free to use or remix one of our examples here.

• Recipient address: enter the Ethereum (EVM) wallet that will receive USDC payouts when your dataset is purchased. Don't have a wallet? We recommend Coinbase Wallet or MetaMask. Note: we are also finalizing an integration with Stripe; if this is preferable for you let us know.

• Tags:

  • Modality: choose one or many modalities that best fit your data (e.g. time series, image, video).

  • Domain: choose which domain best fits your data (if you don't see a tag that fits your data let us know and we can add it).

  • Use Case: select which the anticipated use case(s) for your data (let us know if you don't see one that matches your data).

• Schema: you can edit the description of each column in your data (for tabular .parquet files) using the scheme editor.

License: default is the Portex Standard Data License Agreement (PSDLA); contact us for alternatives or to specify your own.

Publishing your listing

Once you've specified these fields, you can publish your listing! Once it's published, it will be visible and discoverable on the explore page of the Datalab.

Editing a listing

You can edit your listing and any of the detail fields above at any time through the data studio.

Deleting a listing

To delete a listing, you need to delete the dataset associated with that listing. You can do this in the data studio under Datasets → Edit → Delete Dataset for the dataset associated with the listing you want to remove. You will be asked to enter your password to confirm this action, as it cannot be undone.