slot | UK time | Monday 20th Sept | Tuesday 21st Sept | Wednesday 22nd Sept | Thursday 23rd Sept | ||||||
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intro | 8.45-9.00 | Welcome & Logistics Ulf Toelch, Malika Ihle | blank1 | ||||||||
AM-lectures | 9.00-9.45 | Setting the scene: open initiatives in research and scholarship Laura Fortunato | Reducing waste and increasing value in experimental biomedicine Uli Dirnagl | Simple techniques for writing readable code Thibault Lestang | Using meta-research to improve your science Tracey Weissgerber | ||||||
break 1 | blank3 | ||||||||||
10.00-10.45 | Research Ethics & Research Integrity: two duties for researchers Tamarinde Haven | FAIR data for humans and machines Susanna Sansone | Open Access Ruth Mallalieu | How bias leads to entrenched errors Dorothy Bishop | |||||||
break 2 | blank5 | ||||||||||
11.00-11.45 | How to make your research credible: signposting workshops Malika Ihle | Free code and open data Rowan Wilson | What to expect from replications Ulf Toelch | Global data accessibility Louise Bezuidenhout | |||||||
break 3 | blank7 | ||||||||||
socials | 12.00-12.30 | Group discussion with lecturers and attendees day 1 - | Group discussion with lecturers and attendees day 2 - | Group discussion with lecturers and attendees day 3 - | What’s next? Facilitated group discussion Verena Heise et al. | ||||||
lunch | 12.30-13.30 | blank9 | |||||||||
PM-Workshop 1 | 13.30-15.15 | Introduction to R - Berlin Ulf Toelch | Introduction to R - Oxford Adam Kenny, Matt jaquiery, Olly Robertson | Introduction to Python - Oxford Thibault Lestang, Laurence Brown | Introduction to Python - Berlin Dirk Ostwald | Creative Commons Sarah Barkla | Simulations of data and data analyses in R Malika Ihle, James Smith | Research data management for FAIR data sharing Laurence Brown, Philippe Rocca-Serra | Introduction to planning research data management Evgeny Bobrov | Systematic review and meta analyses Alexandra Bannach- Brown | RMarkdown Ulrik Lyngs |
break 4 | blank11 | ||||||||||
PM-Workshop 2 | 15.30 -17.15 | Reproducible workflows in R - Berlin Ulf Toelch | Reproducible workflows in R - Oxford Adam Kenny, Matt jaquiery, Olly Robertson | blank12 | Planning writing and dissemination Patricia Logullo, Jen de Beyer | Preregistration: why not, how Malika Ihle | Version control with Git Malika Ihle, Adam Kenny, Thibault lestang, James Smith | Safeguarding research integrity through the reporting of your methods and results Michael Schlussel | A Short Introduction to LaTeX (or LaTeX in 105 minutes) Charlie Rahal | Data visualization: How to identify and fix common problems Tracey Weissgerber | |
break 5 | blank13 | ||||||||||
keynote | 18.00-19.00 | blank14 | Keynote lecture: Research Culture - A Job for Everyone Tanita Casci | blank14 |