Lunch & Learn: From Pixels to FAIR Data: Challenges, Tools, and Facility Insights on Sharing Microscopy Data

Presenters: José Maria Mateos Melero & Flurin Sturzenegger | UZH, Center for Microscopy and Image Analysis 

Ensuring microscopy data adheres to FAIR principles—Findable, Accessible, Interoperable, and Reusable—presents a multifaceted challenge for researchers and data managers.

In this talk, we will outline the services we offer as well as the challenges we face as data stewards at the Center for Microscopy and Image Analysis. We will focus on preparing microscopy data for FAIR compliance, including issues related to data formats, the need for data converters to open-source formats, and the role of metadata standards such as REMBI. Additionally, we will provide an overview of microscopy repositories and their key features. Finally, we will highlight the educational resources we offer to support FAIR data practices.

Diese Lunch & Learn Serie bietet Angehörigen der UZH monatlich einen kurzen und übersichtlichen Einblick in verschiedene Aspekte rund um Open Science. Der Anlass beginnt jeweils mit einem halbstündigen Input-Referat und schliesst mit einer offenen Fragenrunde.