Several datasets are available within SDC platform upon request. Once you are logged in, click on ‘Datasets’ in the top menu.

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All the available datasets are listed under ‘SDC Datasets’.

To request access to a dataset, click on the ‘Request’ button. A form will pop up. Fill out the form and click on the ‘Send Request’ button

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The request will be sent to the SDC support team and access to the requested dataset will be
given upon approval.

Click on Name of Dataset, you can see README of that particular dataset below it.

Click on ‘Workstations’ and click on the ‘Launch’ button of any workstation you want to access. Note: your workstation needs to be started before you will be able to log in. To start a workstation, click on ‘Start’.

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For your workstation, you will be prompted with username and password to log in.

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You can store your data in your team/individual bucket. Please refer to RT Guide: Chapter 2, Initial Setup and Validation | Upload User Data to S3 Bucket through Portal

Please refer to Upload User Data to S3 Bucket Through Portal to bring your own
datasets/algorithm to workstation.

RT Guide: Chapter 2, Initial Setup and Validation | Upload User Data to S3 Bucket through Portal

Follow the below steps to publish your datasets / algorithms and share with other SDC users.

1. Navigate to the Datasets page.

2. Click on the Publish button for the dataset/algorithm you wish to publish.

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3. In the pop-up window, there are two options for the Type: either a Dataset or Algorithm.

4. If Dataset is selected from the Type drop-down menu:

   a. Name - Name of the dataset, which you wish to call it. Users will see your dataset
   with this name under SDC Datasets section.
   b. Description - Provide a short description so users can get an idea about your dataset.
   c. File/folder name - Name of the file or folder where your dataset resides in your S3
   Bucket. We need this information, so the support team can publish this dataset and
   make it available to other users.
   d. Readme / Data dictionary file name - This file should provide detailed instructions
   about your dataset, how it was created or any relevant information that helps user to
   understand and use the dataset. Save this file in your home folder relative to the
   dataset file/folder name.
   e. Geographic scope - Indicate the geographic scope for your dataset whether it belongs
   to a specific state, region, country etc.
   f. Start/End Date for data availability - Provide the start and end dates of the data that
   belongs in your dataset. For example, your dataset may contain data from March
   2017 to August 2017.

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5. If Algorithm is selected from the Type drop-down menu:
   a. Name - Enter the name for your algorithm. Users will see your algorithm with this
   name under SDC Datasets section
   b. Description - Provide a short description about your algorithm
   c. File/Folder name - Name of the file or folder where your algorithm resides in your S3
   bucket. We need this information, so SDC support team can publish this algorithm
   and make it available to other users
   d. Readme / Data dictionary file name - This file should provide detailed instructions
   about your algorithm, how it was created or any relevant information that helps user
   to understand and use the algorithm. Save this file in your home folder relative to the
   algorithm file/folder name
   e. Programming Tools/language - Provide the details of programming tools and/or
   languages that were used to create this algorithm, so users can leverage the same to
   run your program.

Sample queries are provided for each of the datasets on a GitLab page (accessed from your SDC workstation) we have set up for code sharing:
https://gitlab.prod.sdc.dot.gov/Commons/