Hi all! Deadline coming up soon, Feb 15th! We'd like to encourage abstracts for the 27th Congress and General Assembly of the International Union of Crystallography, August 11–18, 2026, in Calgary, Alberta, Canada.
Specifically, please consider session MS-58, all about data quality and reuse! We are particularly interested in stories about how you are handling big data volumes while maintaining high standards of metadata provenance, but all interested candidates working with crystallographic data challenges are encouraged to submit. We are especially excited about our invited speakers, Loes Kroon-Batenburg, Natalie Johnson, and Kamil Dziubek! As part of our commitment to equity, diversity, and inclusion, we particularly encourage abstract submissions from women, early-career researchers, and members of groups historically underrepresented, in order to work together toward building a strong, inclusive, and well-balanced Congress. Please share widely with potentially interested colleagues. Links: - Abstract submission: https://event.fourwaves.com/iucr-2026/submission - Registration: https://event.fourwaves.com/iucr-2026/registration - Bursaries & Grants: https://event.fourwaves.com/iucr-2026/pages/b64022f8-0494-4478-b60e-41f7e25c74d0 Thanks! Your co-chairs, Aaron Brewster Staff Scientist, Lawrence Berkeley National Laboratory and Christine Beavers Synchrotron Business Development Manager, Rigaku Abstract Data collection volume and velocity has increased vastly, even considering the last 5-10 years. High throughput, serial and electron crystallography are but a few examples of techniques which not only produce high volumes of data and results quickly but also challenge our notions of quality and definitive results. These challenges with data processing and workup relate to simply "keeping up," as well as how to generate the best possible quality results and what they are suitable to be used for. Knock-on consequences also exist for reuse and data-driven science, with potential to populate databases with variable results and suitability questions for follow-on work such as training AI models. Driven by practical examples and (evolving) best practices, this general interest microsymposium will consider the data challenges we currently face ranging from raw data processing through refinement, quality, raw data archiving & reuse to validity in data science. ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
