Create a New Dataset

This guide walks you through the steps to create a new dataset in the Data Catalog.

Note

There are fields on the dataset creation page that are automatically generated by the system, such as Dataset Identifier, Dataset Creator and Access Rights. Some of these fields cannot be changed.

Step 1: Navigate to the Dataset List Page

Both of the following options will take you to the Dataset List page, where you can create a new dataset:

  • Click the Datasets button on the Data Catalog welcome page

    or

  • Use the Datasets tab located at the top of any page.

Step 2: Add a New Dataset

On the Dataset List page, click the Add a new dataset button located right below the Search bar.

Step 3: Choose a Parent Project

Select a project from the list to link your dataset. If needed, you can unlink the dataset at any time.

Tip

Choosing a Parent Project links your dataset to the project it belongs to. This ensures your data stays organized, easy to find and correctly associated.

Step 4: Fill in Dataset Metadata

Complete all the required fields marked with *:

  • Dataset Title (*)

  • Dataset Description

  • Dataset Type (*):

    • Raw

    • Processed

    • Results

  • Resource Type

  • Instrument

Note

→ Resource Type: The type of experimental or analytical methodology that generates the data (e.g., DNA sequencing, RNA sequencing, Proteomics (DIA)).

→ Instrument: The equipment used to generate the data (e.g., MiSeq (Illumina), NextSeq (Illumina), GridION (Nanopore)).

Final Step: Complete your Dataset

Click Create dataset at the bottom of the page to complete the process.



Dataset Creation

Dataset Creation


Tip

→ While only a few fields are required to create a dataset, we strongly recommend filling in additional fields, based on any relevant information you may have.

→ Providing more context makes your dataset easier to understand, discover, and reuse, both for you and others.

→ If you are unsure about some details, you can always include what you know and update the dataset info later if needed.

Access Rights and Visibility

Similar to projects, datasets have two access rights settings:

  • BRIGHT-visible:

    • Dataset metadata is visible (read-only) to all BRIGHT employees.

  • Restricted:

    • The dataset is completely hidden to all BRIGHT employees, except from users who have been explicitly granted permissions.

➣ By default, datasets as well as projects are set to BRIGHT-visible, but you can change the access rights when creating or editing a dataset.

Understanding how access rights affect visibility is important for collaboration:

Note

Users without assigned permissions (see Manage Dataset User Permissions) follow the dataset access rights:

→ For BRIGHT-visible dataset: Metadata is visible (read-only) to all BRIGHT employees

→ For Restricted datasets: Dataset is completely hidden

Add Projects to Dataset

When you created the dataset, you already selected a “Parent project”, which creates an initial relationship. You can also add additional projects from the Projects tab on the dataset home page. This helps you associate the dataset with other research contexts.

Note

To add a project to a dataset, two conditions must be met:

→ You must have the Can Add Datasets permission on the project you want to add the dataset to
→ You must have access to the dataset (either Bright-visible or through a dataset user permission, if it is restricted)

If either of these is missing, you will not be able to proceed.

To add another project to a dataset:

  1. Click the Projects tab on the dataset home page

  2. Select the project you want to add from the list

  3. Click Link to complete the process

To remove the relationship:

  • Click Unlink, and the project will be removed


Add Projects to Dataset

Add Projects to Dataset

Note

This relationship also appears under the Datasets tab on the project home page.

Dataset Lineage

Once you have created a dataset you can define its Lineage by linkinng it to one or more datasets.

➣ Lineage creates a relationship that shows how datasets are related across different stages (e.g., raw → processed → results).

➣ It ensures data provenance by identifying source datasets when creating new ones (e.g., pipelines), supporting reproducibility.

Important

To create (or remove) a Dataset Lineage between datasets you must have the permission Can Link To on both datasets, otherwise you will not be able to perform this action or see the destination dataset in the linking list.

To add a Lineage:

  1. Click the Lineage tab on the dataset home page

  2. Choose the relationship type:

    • Add Ancestor, if the selected dataset creates the current dataset

      or

    • Add Descendant, if the selected dataset is a result of the current dataset

  3. Select the dataset from the list

  4. Add a description explaining the relationship (optional)

  5. Click the Add Ancestor (or Add Descendant) button to complete the process

To remove a Lineage:

  • Click Remove link from dataset

  • Select the link and click Delete



Dataset Lineage

Dataset Lineage