Join Zifo for an in-person BAGIM event and see our presentation on “Keeping up with the Data Model” by Aishwarya Balajee, Head of Digital Services, Zifo, North America

Date: September 27, 2023
Location: CIC Cambridge, 245 Main St, Cambridge, MA
Mixer and Presentation: 5:30 PM – 7:00 PM
Welcome, Introductions, Presentation, Q&A, Conversation

Host: BAGIM & Zifo

link to Register: MeetUp

Abstract:
The Science behind the drug discovery and development landscape has evolved over the past decades. Along with this, the data and technology ecosystem surrounding it has seen an evolution. From in-vitro to in-vivo to genomics to multiomics – Data has come a long way, aiding in important insight generation. The Data remains as the backbone and core to the research.

Take for example, a house – it is built following a blueprint, and this blueprint can be reused to build more such houses. In a laboratory scenario, when it comes to procedures or experiments, most scientists and research laboratories have their own set of protocols that are followed. When a process has a standard template/structure, why not the data that’s being generated? What is the equivalent of the blueprint in the data world? It is the data model.

If we want to answer questions of the future, we need to make our Data model adaptable to it. We often see Data consumers today, are running into challenges when trying to find data to answer questions that were once not anticipated – Data that is not collected, data that is collected but stored in inappropriate formats, data that is missing or not identifiable etc. While data producers are often racing against time trying to find that one molecule or target. In a quest to keep up with technological advances, data was captured at massive rates, but structure and governance surrounding it, was often overlooked mainly due to the ever-changing dynamic of said technologies. Futuristic data models have the responsibility now to be framed in a way they can stand the test of time allowing for inferences to be drawn from data, regardless of the technology.

In this talk, we want to discuss the topic of keeping up with the fundamental data model changes. We would like to discuss solutions to keep the underlying Data model “living and adaptable” to future questions we want the data to answer.