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This tutorial will guide you through fundamental Synapse features for creating a project via the web interfaceSynapse UI. You will learn how to:

  • Create your own project 

  • Explore the project dashboard

  • Add a description to your project in the wiki

  • Share your work with other Synapse users, teams, or the public

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Projects are the main “containers” where information is stored and organized in Synapse. They are online workspaces where you can collaborate and share your work with teammates. Projects can be shared with individuals, small teams, or large consortia. Projects can be private so only you and your team can see what’s inside, or they can be shared publicly for anyone to browse.

To create a new project:

  1. Navigate to your Synapse Dashboard. The Projects tab should already be selected.

  2. Click the Create a New Project button.

  3. Decide on Click the Projects icon in the Synapse toolbar

  4. Click the plus sign (+) next to Projects

  5. Enter a unique name for your project and click click Save.

Synapse will automatically open your new project so you can view your project dashboard.

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Your project dashboard allows you to see the different elements of your project at once. At the top of the project page, you can click the green star next to your project name to add it to a list of favorites.

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Below the project name, the Synapse ID (synID) is a unique number used to reference this project, and it is a powerful tool to identify and manage content. Projects, folders, files, tables, views, datasets, and wikis all have unique synIDs that can be used to navigate to and reference these specific items. The synID never changes and is always accessible in the URL and visible on the web. If you use one of the programmatic clients to interact with Synapse, you can use synIDs to create scripts that will work universally for anyone and without the need for specifying file paths.

The project dashboard also has tabs for different sections of your project:

  • Wiki - : A wiki is like a virtual notebook where you can describe your research so others can understand your goals, methods, or anything else you want to communicate about your project. See

(plus) To learn more, see /wiki/spaces/DOCS/pages/1975746682

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  • Files- : This tab contains a directory of all of your files and folders within this project. Use this tab to see the hierarchy or structure of information as you add it. See Files and Folders for more. Tables - .

(plus) To learn more, see /wiki/spaces/DOCS/pages/2048327716.

  • Datasets: This tab contains any datasets that you have created. A dataset is a collection of files that already exist in Synapse that may be hosted in one or more Synapse projects or folders.

(plus) To learn more, see /wiki/spaces/DOCS/pages/2611281979.

  • Tables: This tab contains tabular data. You can upload data tables or create them directly from the Synapse interface. You can also use this tab to create views, which are tables of other data in Synapse. See the

(plus) To learn more about tables, see /wiki/spaces/DOCS/pages/2011038095

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(plus) To learn more about views, see /wiki/spaces/DOCS/pages/2011070739

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  • Discussion - : Use this tab to communicate with teammates in a discussion forum.

(plus) To learn more, see /wiki/spaces/DOCS/pages/1985904796.

  • Docker - : Docker is a platform for creating virtual containers to bundle code and other dependancies. You can add a Docker container to a project and share it with your teammates. Learn more about

(plus) To learn more, see /wiki/spaces/DOCS/pages/2011037752.

Adding a Project Wiki

A wiki is a virtual document that can be edited by multiple people on the web. Wikis are powerful tools to add information about your project, and Synapse offers over a dozen widgets to customize your wiki pages. Use wikis to provide descriptions of your project goals, methods, and data.

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  1. Click on the Wiki tab and use the Wiki Tools menu.

  2. Choose Edit Wiki to add or edit wiki content.

  3. From the editing window, click Preview to check your work. Click Save when you are finished.

/wiki/spaces/DOCS/pages/1975746682 for (plus) For more information on how to organize and customize your wiki content, see Creating and Managing Wikis.

Sharing and Teams

By default, your project and anything inside it are private, so only you can see it. However, you can share an entire project with specific users, teams, or make it public so anyone can browse your content. If you’d like to share your project with others, see the article on

(plus) For more information on how Synapse can help you control access to your data, see /wiki/spaces/DOCS/pages/2014904611 to understand how Synapse can help you control access to your data2024276030.

To share a project:

  1. Click on the Project Settings menu and select Project Sharing Settings.

  2. Enter the usernames or team names to add collaborators.

  3. To make the project publicly viewable, click Make public and then adjust the access levels for registered users and anyone on the web.

Groups of users can form Synapse teams for collaboration. Teams can be used for managing permissions and for communicating with your collaborators. Sharing something with a single team instead of many individual users can help administrators manage large, complex projects. Read

(plus) Learn more about using teams /wiki/spaces/DOCS/pages/1985446029

(plus) And learn about using teams to manage group communication and project permissions at Managing Data Access With Teams.

Anything inside your project will automatically inherit the same sharing settings as the project itself. In other words, if your project is public, then all of the contents within the project will also be public. If needed, you can change these settings so that certain files or folders are only shared with specific groups of users. For more details, read about /wiki/spaces/DOCS/pages/2024276030 and /wiki/spaces/DOCS/pages/2030502408.

Continue learning about Synapse with /wiki/spaces/DOCS/pages/2058846522.

For information on using Synapse programmatically, see the documentation for the Python clientcommand line client, and R client

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