From Data to Discovery: Managing Data and Knowledge in Biomedicine

Join the conversation on data & knowledge management in biomedicine and discover new ideas and practical tools for analyzing, sharing, and publishing your research.
From Data to Discovery is a seminar series that features speakers and panelists from inside and outside Harvard who work at the cutting edge of data and knowledge management. You will learn about new ways to annotate experimental and computational data, visualize new findings in the context of current knowledge, leverage public databases and cloud computing resources, and format your data for publication and NIH compliant deposition.
The series is designed for students, postdocs, staff, and faculty active in both laboratory and computational research.
Topic suggestions and volunteer speakers are welcomed and encouraged!

Click here to see a list of past seminars & watch recorded videos!

📢 Join us next in person or on Zoom on March 13!

Use QR code above or click here to register for Zoom options!
Abstract: Advances in cryoEM technologies have resulted in an increasing rate of data acquisition. With new detectors generating multiple TB per instrument in a single evening this deluge has outstripped the field's ability to organise and handle the data. As a field we are grappling with ways to handle this data at the user and institutional level, and with how to organise and share information more widely. This presentation will cover data handling from the instrument from the facility perspective before exploring the wider topic of downstream management of cryoEM data. We will discuss integration with HMS-IT storage solutions, along with metadata handling and the unsolved challenges we still face.

📆 Save the date for more upcoming seminar(s):

Date & Time
April 10, 2024
Taralyn Tan, Ph.D.
Assistant Dean for Educational Innovation and Scholarship, HMS
Ella Batty, Ph.D.
Lecturer in Neurobiology, HMS
Training for Rigor: Designing Online Educational Resources for the NIH CENTER/METER initiative

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