Access Points & Assets

The TripleBlind platform supports two primary types of Assets: Data and Algorithms. In this tutorial, we use Data Assets (aka "datasets") to illustrate and explain how to position and manage assets. By the end of this tutorial, you will know how to perform the following tasks:

  • Position an asset via the web interface and SDK
  • Manage your dataset (change properties, retrieve, archive, etc.)
  • Search for a dataset
  • Retrieve a dataset you own
  • Archive a dataset

Positioning Assets

Positioning an asset is the process of placing your data file inside your own infrastructure's Access Point and indexing that asset on the TripleBlind Router. Positioning assets is the first step towards monetizing your data or training collaborative and distributed algorithms—while preserving the privacy of your data.

ℹ️Positioned data never leaves your organization's firewall. TripleBlind never hosts or has access to your data. The only route to your data is through your own Access Point, which is controlled by your organization.

You can position your data either via TripleBlind's web interface or the SDK. We explain these two methods next.

Web Interface

You can use an intuitive web interface to position your datasets. Simply visit the 🔗Explore Assets page and click Position Dataset to begin the process. You will provide the following information:

  • Listing Name
    A descriptor for the dataset. The name is used when listing or searching for your dataset in the Data Explorer. The best names are descriptive, but short.
  • k-Grouping
    Inspired by     k-anonymity, TripleBlind supports configuration of a “k-Grouping” safeguard at the dataset-level. See k-Grouping for more information about how TripleBlind honors k-Grouping in Blind Query, Blind Join, and Blind Stats operations.
  • Visibility
    Control whether to list your dataset in the public listing of available datasets or not. If "Public,” users from other organizations will know of the existence and see summaries of the dataset, but they will not be able to see the contents or operate on it without requesting your permission first.
  • Description
    A freeform area to convey in-depth information about the dataset. The description can use     Markdown formatting to present images, tables, links and other rich text tools. The Preview tab allows you to see the description as it will appear in the web interface. Good descriptions include technical details about the dataset, as this is the primary way other organizations learn about your dataset.

All these properties of the dataset can be easily changed later.