By sharing your data you open yourself up to the good and the bad - but open data is a risk worth taking
Integrate data cleaning from the start!
If you can't share sensitive data, share metadata!
Incentives for ppl who do it correctly - though recognise huge time commitment. Diversify meaning of sucess in academia!
Funders + institutes provide incentives for academics
Supervisors to let go of the ego + have trust in why result not supported
Commit to publish every protocol
Institutional level + Government level (perhaps the same as institution, as unis funded by government)
Not everything needs to be reproduced - some studies provoke a line of enquiry. Lots of qualitative studies fall here.
1. original data + validating study
2. new, similar data + get same results)
5% battery left.
Brilliant interactive conference! Diversity in topics, gender, geographic backgroud, career level, data origin, opinions, universities...and more I'm sure.
Well done all involved!