Publishing Shiny apps as a researcher

January 16, 2025, 10:00 – 11:00
Event Tags:
DDLS
Registration

Organizer

SciLifeLab Data Centre
serve@scilifelab.se

Venue

Online event via Zoom

Publishing Shiny apps as a researcher

Virtual Event Virtual Event

January 16 @ 10:00 11:00 CET

Title: Publishing Shiny apps as a researcher

Speaker: SciLifeLab Data Centre team

Where and when: January 16, 2025 at 10:00-11:00 Stockholm time, online. Registration is open till January 16 at 9:00.

Abstract: Shiny is a popular framework for building interactive web apps with visualizations, tables, analysis tools, etc. using R. Researchers often create Shiny applications as part of their projects and want to publish them as supplementary materials for publications, presentations, and other purposes. However, finding a venue to publish (in other words, to host) a Shiny app is challenging because existing commercial platforms are not optimized for use by researchers and impose limitations on the speed of the applications and volume of visitors in their free tier.

In this webinar, we will demonstrate Shiny app publication through SciLifeLab Serve — a newly developed platform that is free to use for all life science researchers in Sweden and offers dedicated resources for long-term hosting. We will discuss how to prepare a Shiny app for sharing and provide a step-by-step demonstration of how to start hosting it and obtain a public URL to share with the world. After this webinar you should be able to do this yourself for your own Shiny apps. Additionally, we will discuss requirements from funders and research institutions when publishing Shiny applications as research output.

If you are a researcher with an existing Shiny app you’d like to publish, or if you plan to build a Shiny app in the future, this webinar is for you.

More about SciLifeLab Serve:

SciLifeLab Serve (https://serve.scilifelab.se) is a platform developed by SciLifeLab Data Centre and available free of charge to researchers affiliated with all research institutions in Sweden. The platform development is funded by the Data-Driven Life Science Programme at SciLifeLab. SciLifeLab Serve offers machine learning model serving as well as application hosting tools optimized for life science research needs, open science principles, and FAIR requirements.

For questions about the events please contact the organizing team by emailing serve@scilifelab.se

Scientific lead: Prof. Ola Spjuth, SciLifeLab Data Centre and Uppsala University

Contact information: serve@scilifelab.se

Last updated: 2024-12-02

Content Responsible: Arnold Kochari(arnold.kochari@scilifelab.uu.se)