Spin Wang

Data Integration

Allotrope Leaf Node Model — a Balance between Practical Solution and Semantics Compatibility

Specialization and compatibility are possible with the Leaf Node - scientists, engineers, and data scientists can rapidly iterate on the data model to create and query standardized data sets so ontology experts can focus on semantics.

Spin Wang
Data Integration

TetraScience ADF Converter -- Delivering on the Promise of Allotrope and a Startup’s Journey

Our goal is to enable other organizations to overcome the barrier of initial adoption in order to evaluate and explore ADF in real production settings against your use cases. By doing this, such a data format can be truly battle-tested and demonstrate its vitality.

Spin Wang
Digital Lab

The Digital Lab Needs an Intermediate Data Schema (IDS): a First Principle Analysis

We believe one of the key building blocks of a Digital Lab is the flow of Data. Without the flow of information, data is siloed, fragmented, and nearly impossible to drive action. To enable scalable data flow, Digital Lab needs an Intermediate Data Schema...

Spin Wang
Data Science

Data Science Use Cases for the Digital Lab: Novel Analyses with Waters Empower CDS Data

Once your Empower data is in the cloud - harmonized, structured, and connected to your data science tools - what meaningful analyses can your data scientists perform? We've collected several obvious and non-obvious data science use cases from our network.

Spin Wang
Data Integration

Powering Bioprocessing 4.0 for Therapeutic Development

AGU's Sm@rtLine Data Cockpit and TetraScience partner to unify life sciences R&D data in the cloud and automate lab workflows to power Bioprocessing 4.0.

Spin Wang
Data Integration

"Data Plumbing" for the Digital Lab

Just like the plumbing in a huge building, data plumbing in the digital lab can be messy and dirty. It's simple to start, but quickly becomes complicated.

Spin Wang