It's certainly a goal to work towards. However, it's pretty difficult to build One ELN to Rule Them All given how flexible many kinds of biological experimental designs are - especially when you're working on the bleeding edge.
A good first step is to require supplemental materials are published in a machine readable format (e.g. not manually thrown together Excel files that lack any kind of normalization or rational schema)
> it's pretty difficult to build One ELN to Rule Them All given how flexible many kinds of biological experimental designs are - especially when you're working on the bleeding edge.
RDF is quite flexible and using a combination of domain specific ontologies like cheminf[1] and other top level ontologies like BFO[2] should allow you to capture most of the semantics.
But then there are things like GPT-3 , which means stashing everything in a rigid schema isn't as hard-core of a requirement as it used to be.
OTOH, facilitating:
1. access to the raw data
2. access to the metadata
3. access to the source code of whatever software was used / created to run the experiment
4. making sure everything is computer readable (i.e. not a 256x128 graph as a PNG embedded in a bloody PDF)
should be a requirement for any scientific publication worth its salt.
