Big Data, small plans Worksflows for intellgence/knowledge conservation

Parameters for a reliable scientific data preservation What should not be forgotten during data collection, to make it reiable long term? Simplification against versatility, ressources against generality... etc.

"Jarvis, did you think about saving that (meta)data?...." Untrained learning on what should stay (and what should go). Can IA help?

Blue helmet deployment (Discussion)