This week, Nathan Clark, CEO at Ganymede, joins the Data in Biotech podcast to discuss the challenges of integrating lab instruments and data in the biotech industry and how Ganymede’s developer platform is helping to automate data integration and metadata management across Life Sciences.

Nathan sits down with Data in Biotech host Ross Katz to discuss the multiple factors that add to the complexity of handling lab data, from the evolutionary nature of biology to the lab instruments being used. Nathan explains the importance of collecting metadata as unique identifiers that are essential to facilitating automation and data workflows.

As the founder of Ganymede, Nathan outlines the fundamentals of the developer platform and how it has been built to deal practically with the data, workflow, and automation challenges unique to life sciences organizations. He explains the need for code to allow organizations to contextualize and consume data and how the platform is built to enable flexible last-mile integration. He also emphasizes Ganymede's vision to create tools at varying levels of the stack to glue together systems in whatever way is optimal for its specific ecosystem.

As well as giving an in-depth overview of how the Ganymede platform works, he also digs into some of the key challenges facing life sciences organizations as they undergo digital transformation journeys.

The need to engage with metadata from the outset to avoid issues down the line, how to rid organizations of secret Excel files and improve data collection, and the regulatory risks that come with poor metadata handling are all covered in this week’s episode.  

Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.

Chapter Markers

[1:28] Nathan gives a quick overview of his background and the path that led him to launch Ganymede.

[5:43] Nathan gives us his perspective on where the complexity of life sciences data comes from.

[8:23] Nathan explains the importance of using code to cope with the high levels of complexity and how the Ganymede developer platform facilitates this.

[11:26] Nathan summarizes the three layers in the Ganymede platform: the ‘core platform’, ‘connectors’ or templates, and ‘transforms’, which allow data to be utilized.

[13:18] Nathan highlights the importance of associating lab data with a unique ID to facilitate data entry and automation.

[15:05] Nathan outlines why the drawbacks of manual data association are inefficient, unreliable, and difficult to maintain.

[16:43] Nathan explains what using Ganymede to manage data and metadata looks like from inside a company.

[24:50] Ross asks Nathan to describe how Ganymede assists with workflow automation and how it can overcome organization-specific challenges.

[27:42] Nathan highlights the challenges businesses are looking to solve when they turn to a solution, like Ganymede, pointing to three common scenarios.

[34:32] Nathan emphasizes the importance of laying the groundwork for a data future at an early stage.

[37:49] Nathan and Ross stress the need for a digital transformation roadmap, with smaller initiatives on the way demonstrating value in their own right.

[40:35] Nathan talks about the future for Ganymede and what is on the horizon for the company and their customers.

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