Interpretation and use of scientific datasets by those that are not engaged in the creation or production of those datasets is pivotal for enabling science that is driven by data. RDA has made significant progress in addressing this issue through the Data Type Registries (DTR) WG, which has now finished, but much remains to be done, hence this proposal for a follow-on working group. The fundamental effort here is to describe scientific datasets in a human-and-machine-readable fashion, enabling humans and software to parse and understand the semantics, context, and assumptions behind the data. We reference all such descriptions as “data type records”, regardless of the standard or best practices standing behind those descriptions. The DTR WG focused on developing infrastructural component that would manage such data type records. The new WG will focus on aiding data producers come up with useful data type records.
o All of the previous material associated with the DTR WG, including the final output
o Collect new use cases
o Develop enthusiasm for and ideally commitments to work on both technical and policy issues raised in the Charter
o Organize the group for further actions, e.g., telcon schedule
o Review the approved or pending DT Charter
o Discussed proposed work plan
o Gather volunteer use cases
o Discuss future meeting schedule, telcon approaches, etc.