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How to showcase your data to a wider audience
Webtools are a great way for readers to interact with the data, with relevant examples
Do you wish to share your scientific data to a wider audience?
You can consider building a webtool, where users can freely interact and download the data.
Streamlit and Shiny are the best libraries to make webtools. We strongly recommend Streamlit, as the Python programming language is friendlier for starters and thus, easier to implement. Moreover, the webtools are free to deploy to the internet, so maintenance is quite hassle free.
In a classroom setting, we were able to enable students to learn to code with Streamlit within a few hours of teaching. Need some inspiration of what you can potentially build with Streamlit? You may browse our recent publications, where we have used Streamlit to build a variety of webtools, including webtools for data analysis, tabulating statistics, dashboarding, database curation, database query etc. Some examples and links as follows:
- Gene Updater: Converts date terms back to gene names
