Hello, I've poked around a bit but haven't quite been able to find an answer to my question: Is it possible to customize the metadata and search facets within a particular dataverse?
The background to this question is that I'm encountering datasets that might be appropriate to put in a dataverse within Dataverse, but the metadata and desired search criteria are quite specific to that dataset. E.g., search criteria might include things like experiment type (drawn from a dataset-specific vocabulary), laser setting, is the laser focused or not, timing, and many other such quantities that don't generalize and wouldn't be found in any garden variety metadata standard. And, while simple tagging can be used as a way to implement some of these criteria, tags don't suffice in all cases, and one also loses the virtues of faceted search. Ergo...
1. Is it possible to create a custom metadata block that can then be used by a dataverse? If so, is this something an end user can do, or does it require an administrator or installation admin to do?
2. Assuming a dataverse uses a custom metadata block, is it possible to specify search facets for that dataverse (only), based on the metadata fields in the block?
3. If a metadata field is numeric (is it possible to specify the types of metadata fields?), is it possible to do numeric range searching over that metadata?
Thanks in advance,