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Integrating Measurement Requests, Data Collection, and Data Distribution in One Platform | Webinar

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Peter
Peter Bellstedt, PhD Director of Business Development and Product Manager

Peter studied Biochemistry at the University of Jena before completing a PhD on the structural characterization of a DNA repair protein using solution and solid-state NMR. He was then appointed as the head of the NMR Spectroscopy Platform in Jena, Germany, where he pioneered the implementation of modern, highly efficient data-driven workflows. After five years, he moved to the University of Zurich, Switzerland, as a principal investigator, where his lab focused on structure-based drug discovery. This year, he brought his wealth of experience to the LOGS by SciY team, focusing on efficient workflow solutions for research labs and facilities on a global scale.

Integrating Measurement Requests, Data Collection, and Data Distribution in One Platform

 

Join us as we dive into a common challenge faced by research facilities: managing the ever-growing mountain of measurement data. As a facility manager, you’re all too familiar with the constant juggling act of handling sample submissions, data collection, and distribution—all while trying to keep your workflows efficient and your focus on the science.

In today’s data-driven landscape, adhering to the FAIR principles—making your data Findable, Accessible, Interoperable, and Reusable—is not just a best practice but a growing requirement for securing public funding. Funding bodies are increasingly looking for research facilities to demonstrate that their data management processes align with these principles.

That’s why we’re excited to introduce you to LOGS for Facilities, our comprehensive software solution tailored specifically for research facilities like yours. Supported by the powerful automation engine Mnova Gears, LOGS streamlines your entire workflow—from sample submission and automatic data processing to data distribution—into a single, seamless platform that adheres to the FAIR principles.

In today’s session, we’ll explore how LOGS can simplify your data management processes, helping you save time, reduce errors, and get back to what matters most: advancing your research by making your data findable - wherever you are.

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