Use case class 1: validating and publishing scientific data collections

Scientific data collections produced by individuals or science collaborations are more valuable when made available to the broader community in a manner consistent with the FAIR principles. Doing so requires efficient tools for making the data accessible through standard protocols for selection and retrieval. Support is also needed for metadata provision, minting DOIs, etc. Furthermore, infrastructure is needed to create workflows that can be used for vetting such data for publication and subsequent analysis. The availability of these data collections would then enable new cross-experiment/cross-collaboration data sharing, ultimately leading to new scientific discoveries.

Note: The links at the indidual use cases lead to internal PUNCH4NFDI pages.