Large amounts of data are generated in chemistry labs, both digitally and non-digitally. They are often reported in ways non-accessible to both humans and machines. Nature brought this interesting information to us in their article, “Making the collective knowledge of chemistry open and machine actionable.”

The authors of this particular article argue that a modular open science platform would be beneficial not only for data mining studies but also for the entire science community.

Scientists have long been justifiably concerned about the reproducibility of results and unfortunately this has slowed down the progress of open platforms. This has lead most funding agencies to insist on a commitment by researchers as to how scientific data are managed and often to require all data to be made publicly available.

Having a data management plan is important but it does not guarantee that data will be shared in an easily findable, accessible, interoperable, reusable and ultimately machine actionable form. Recent advances in machine learning are a perfect example as to why science would benefit from embracing open and reusable data.

Whatever side of the debate you sit in, we can all agree that findability is key. Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided indexing, database management, information retrieval and explainable artificial intelligence. Efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.