Spin Wang

R&D Data Cloud

What is IDS for (and not for?)

We use an intuitive analogy to help explain the purpose and use cases of our Intermediate Data Schema (IDS) and its relationship with data archival in a Life Sciences context.

Spin Wang
R&D Data Cloud

Allotrope 101

The Allotrope Foundation, an international consortium of pharma, biotech, and other research-intensive industries, has developed advanced data architecture to transform the acquisition, exchange, and management of laboratory data throughout its lifecycle.

Spin Wang
R&D Data Cloud

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

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
Resource Center

Round-up of Semantic Web thought leadership articles

Here is a collection of thought leadership articles about semantic web that we are tracking. This is a question we are asked often, so we thought we'd share.

Spin Wang
R&D Data Cloud

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
R&D Data Cloud

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
R&D Data Cloud

Data Automation for High-Throughput Screening with Dotmatics, Tecan, and PerkinElmer Envision

Despite robotic automation, experiment data sets are still isolated from one another, requiring manual data acquisition and handling. TetraScience’s Data Integration Platform brings automation to the data.

Spin Wang
R&D Data Cloud

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
R&D Data Cloud

"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