The Globus Sample Data Portal implements the Modern Research Data Portal design pattern1.
If you are looking to build your own data portal, Globus provides several solutions and integration options that will meet your requirements.
Our Serverless Portals require no additional managed infrastructure to enable your end-users access to many Globus capabilities. The portals are open-source, client-side, single-page applications maintained by the Globus team. Using our template repositories, you can deploy a custom portal with a few clicks.
- Data Distribution (https://github.com/globus/template-data-portal)
- The Globus Sample Data Portal is an example of this template!
- Data Discovery and Access (https://github.com/globus/template-search-portal)
The Django Globus Portal Framework is a collection of tools that enable you to rapidly create an easily accessible portal for your data. Tailoring your portal to your data can be done simply by modifying existing bulit-in Bootstrap templates, allowing many levels of customization to suit the required needs.
You can find more information, installation and usage instructions on our Read The Docs page.
If you are looking to integrate Globus capabilities into an existing application or planning to build your own, Globus offers first-class software developer kits for Python and JavaScript, in addition to service-level APIs outlined in our documentation.
Footnotes
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Chard K, Dart E, Foster I, Shifflett D, Tuecke S, Williams J. (2017) The Modern Research Data Portal: A design pattern for networked, data-intensive science. PeerJ Articles:cs-144 https://peerj.com/articles/cs-144/ ↩