The Chem Biography Platform deploys as a fully managed server dedicated to your organization, solely. The platform provides research informatics and data management services in the following four modules:

• Entity / target registration (compound or organism)
• Structure and data search
• Data upload (import)
• Administration

Our Manual has an in depth review of features and functions. You may also download a Fact Sheet.

We deploy our servers on site (intranet) or remotely.

We focus on scientist (customer) directed software development and consultation services including but not limited to:

• Applied machine learning / Data Science
  • Object detection, neural networks, backpropagation
  • Computational statistics methods
• Visualization / Analytics
  • Development and integration within industry visualization / analytics decks
  • De Novo implementations with plot.ly.
• Workflow automation
  • Scoring, profiling, and metadata analysis.
  • Tidy Data data engineering (ETL) pipelines.

Ontological separation and isolation of scientific pursuit precipitates naturally within organizations (already) at the lab or group level.

Nouns and verbs that characterize “things and activities” vary wildly across the landscape. A data management solution in this arena must mold and shape itself toward the will (and intention) of the scientists engaged in doing the daily work of research and discovery.

Science “goes better, faster, and easier” when the scientist directs the structure and organization of data. How can they do that?

We recommend you abandon the practice of attempting to solve scientific data management from “the top down”.

The usage of our platform and services allows your data management strategy to emerge along side and along with actual scientific activities (not with architected bubbles on whiteboards).

• Follow your scientists and researchers. Follow where the science they are doing leads them.
• Pay attention to them.
• Serve them.