Researchers, scientists, and engineers often evaluate data points from multiple internal and external sources, with the input coming for various independent platforms, databases, or owners across an organization. Collating and compiling the data is laborious, inefficient, and time-consuming—sometimes requiring days to complete as data is exported from different sources and then collected and organized in one document. This heavily manual task delays the critical work of analyzing data to make decisions about the next phase of research.

Varya Virtual’s ontology search engine—built into our Iota software platform—is just the solution for today’s technology-driven research environments. By connecting the Iota software to internal systems and databases, the ontology search function is able to extract all the data you’re seeking in a matter of seconds. Additionally, the more data is inputted into Iota-connected systems, the more results you have at your fingertips—literally. The ontology search’s filter pane allows you to pinpoint exactly the information you need for analysis. This innovative search engine alleviates the time-consuming (and often frustrating) manual process of compiling data from multiple sources.

Time-savings is the most significant—and immediate—benefit for research teams. The ontology search engine saves time as it eliminates the manual process of identifying and consolidating data. It allows you to analyze data faster in order to make project decisions. This, in turn, improves efficiency and saves money.

Another benefit of the ontology model is its flexibility. It can be set up to be used by multiple groups, and it can be programmed to “connect the dots” and correlate any differences in data labeling among research groups. Again, this saves time so data can be analyzed faster for the decision-making process.

Additionally, the ontology model enables integration with visualization tools like Microsoft Power BI and Jupyter Notebook to further enhance data analysis and decision making.

The ontology search function allows you to collect and analyze data from a multitude of systems in a more automated way. It eliminates manual labor and redundancies while providing savings of both time and cost.

Ontology searches are beneficial for any industry that leverages data on a regular basis: pharmaceutical, research, STEM, engineering, manufacturing and education, among others.

The large number of computer-based systems, scientists and engineers involved in a research project provides complications, particularly in highly detailed and regulated STEM industries. As a result, many STEM companies are slow to adopt new technologies. One pharmaceutical company was unable to fully leverage the power behind wearable devices because they didn’t have the right platform to support the data collected from wearables.

Varya Virtual’s Iota platform, coupled with RealWear wearable technology, enabled research, experiments and results to be captured easily. Iota allowed the pharmaceutical company to build “notebooks” of research, experiments and results. These notebooks included audio, video and images captured by the head-worn mobile devices. Through this interface, the pharmaceutical company was able to capture, locate, organize and perform analytics on this information to share and transfer to other parts of their organization.

The pharmaceutical company leveraged Iota to neatly organize and “package” this information for technical transfer internally. This same capability could be similarly leveraged with CROs and CMOs, allowing organizations to have an immersive, real-time collaborative experience.

Iota allowed the pharmaceutical company to interface with multiple partner organizations, maintain needed confidentiality and firewalls. They develop apps, workflows and dashboards that enhanced the information workflow.

Cloud-based storage now allows, with security controls in place, authenticated users from anywhere in a partner network to access and contribute to this content.