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Publishing for the web and social media

Communicate directly in visualizations/workflows/simulations

Dynamic Configurable Live Leaderboards of Workflows

Problem: evaluating AI models and similar tools is time consuming, often bespoke, replicates work done by others, and is difficult to update.

Organization Lifespan

We have a plan for the lifecycle of the organization.

A new way to publish interactive data and visualizations

Deciding where how how to publish your data intensive scientific workflows can be difficult, with no clear solution.

Beyond Jupyter Notebooks

Beyond jupyter notebooks

Competition 1.2

We're excited to announce our second weekly science challenge, focusing on biological data visualization! This week, we're exploring gene expression data analysis, showcasing how Metapages can handle scientific workflows in your browser.

Community Showcase

Interactive Data Visualization Challenge

FAIR principles apply to data- what about compute

It’s one thing to have access to data, but it’s another thing to have code and also a reliable, reproducible way to run the code that operates on the data. In other words, it’s not enough to just serve data, we also need principles around HOW we create compute environments that process the data.

When Does Data Expire?

Our data expiration policy takes a long term view: some data never expires while our organization lives, some data lives a very long time, and some data expires relatively rapidly.

Metapages vs Binder

Binder is a way to share Jupyter notebooks. That means all the advantages and disadvantages of Jupyter notebooks.

Media Mentions

Bits In Bio Global Mixer Presentation

Comparison with other products/services/tools

The Internet Archive and URL configured websites

Links are critical to deep-time knowledge preservation

Blob storage is a solved problem- what about compute?

Cheap and simple data blob storage is widely available and relatively easy to access and use. However, easily applying the right kind of compute is still laborious with too many complex barriers, arcane commands, hard to understand costs, and psychological anxiety that interrupts flow state when prototyping, analyzing, and generally doing data intensive research and engineering.