By: Deep Datta

Re-posted from: https://info.juliahub.com/blog/reproduce-scientific-research-with-juliahubs-time-capsule

The ability to verify the results of data that has been collected or generated during the course of any drug trial or simulation is paramount to the validity of the study. Often, as biostatistics and pharmaceutical teams become even more reliant on digital tools to record and draw insights from these studies, creating a “digital footprint” of the steps and materials that went into each one becomes more and more important. This is where JuliaHub comes in. The JuliaHub platform was specifically designed for scientific research teams to get access to high performance computing power and provide pharmacology teams a verifiable “single source of truth” for all of the digital activities. That is why our reproducibility feature, called “Time Capsule” has become a cornerstone to how pharmaceutical development research teams reproduce and verify work with their compliance departments.

By: Deep Datta

Re-posted from: https://info.juliahub.com/blog/easy-migration-with-juliahub-import-tool

In today’s fragmented data landscape, efficient integration and migration of data from various sources is necessary for efficiency. There is also the challenge of moving large datasets or groups of datasets all at once. Recognizing these needs, JuliaHub has introduced an easy data migration tool that simplifies data migration from various cloud providers directly into the platform.

By: Deep Datta

Re-posted from: https://info.juliahub.com/blog/high-performance-computing-for-government-innovation-0

The Julia language was designed from the ground-up to take the best parts of other languages; their development best practices and concepts and improve upon those capabilities. Many of the ecosystem tools that are growing as part of the Julia language are meant to accelerate the methodology of languages created decades ago. Consequently, our package ecosystem, package management methods, private registries, security, policies, and analytics were all designed with this in mind.