Data Quality Metrics Workshop - Presentations
Day 1 (Tuesday, 9th April 2019)
- Session 1: Presentation of participants
- Session 2: Setting the scene - auto-processing at synchrotrons
Day 2 (Wednesday, 10th April 2019)
- Session 3: Presentation of auto-processing results
- Session 4: Data Quality Metrics vs. Results Quality Metrics
- Manfred Weiss - Reporting diffraction data quality - current practice
- Kay Diederichs - Making sense of data quality indicators
- Ian Tickle - Data quality issues revealed by the STARANISO server
- Sasha Popov - Quality metrics for experimental phasing data
- Session 5: The Practitioners' viewpoint
- Rasmus Fogh - Adding new data - an example
- Kay Diederichs - As simple as possible, but as complex as necessary
- Sasha Popov - Anticipating the impact of radiation damage on data quality
- Olof Svensson - Meta-data flow between MXCuBE, auto-processing and ISPyB
- John Berrisford - Data requirements for PDB deposition - can we eliminate human error?
- Session 6: Over to the Power Users
Day 3 (Thursday, 11th April 2019)
- Session 7: Back to the future: metamorphoses of the
diffraction experiment in search of matching metamorphoses of their
book-keeping
- Session 8: Wrap-up, actions, priorities, spreading the word
Last modification: 03.05.2019