With Dataverse 4.0, we are expanding our support for community accepted standards-based metadata schemas (Redmine #3434). Through discussions with members of the data community, we have worked together to identify metadata fields that help users better describe their data. This new metadata support is a big step towards: improving the discovery and reuse of these Datasets within Dataverse (with the help of our upgraded search functionality), and extending our interoperability with other repositories.
The following metadata elements will be grouped and displayed as “metadata blocks” within a Dataset (*please note that this information is subject to change):
Core / Citation Metadata (Redmine #3672)
To make it easier for users to add metadata when creating Datasets and encourage further interoperability between different systems we are expanding our compliance and general support of standard metadata schemas, which will include mapping/exports to DataCite Metadata Schema 3.0, and Dublin Core Terms (previously only supported simple Dublin Core elements). Citations to your Datasets will also be compliant with the newly released Joint Declaration of Data Citation Principles. For further details on the citation metadata we are using for 4.0 please review our Citation Metadata table.
Social Science & Humanities Metadata (Redmine #3481)
For Social Science & Humanities datasets we have upgraded our mapping/export support from DDI-Codebook 2.1 to the currently supported DDI-Codebook 2.5. For more information on how we will be handling these datasets please review our Social Science Metadata table.
Biomedical Metadata (Redmine #3479)
With the helpful guidance of MIND Informatics, we have begun work on extending metadata support for biomedical datasets, which can be mapped/exported to the ISA-Tab specification (currently also used by NPG's Scientific Data). The quality of the metadata will be further improved by providing easy to choose terms selected from biomedical ontologies / taxonomies (e.g., OBI, NCBI). Please note: As a proof of concept for Beta, we are initially modeling this metadata block based on elements and terms found in Stem Cell Commons. We are very interested in receiving feedback on how we can better expand our support to more areas of research within the biomedical sciences, so send us your thoughts via our Dataverse Community forum (tag: beta). For further information, please review our Biomedical Metadata table.
Astronomy & Astrophysics Metadata (Redmine #3494)
We have added additional support for metadata that is specific to Astronomy and Astrophysics’ datasets thanks to the dedicated assistance of August Muench, and Arnold Rots (Discovery and Provenance Metadata for Persistent Data Objects). These metadata elements can be mapped/exported to the International Virtual Observatory Alliance’s (IVOA) Resource Metadata for the Virtual Observatory (VOResource Schema format). For more detailed information on how we handle the metadata for these Datasets please review our Astronomy and Astrophysics Metadata table. Additionally, to facilitate researchers when filling out astronomy metadata we have built in support to automatically extract metadata from the header section of FITS files (see blog post about File Handling & Uploads).
Coming soon: Geospatial Metadata (Redmine #3897)
We are currently working with the Center for Geographic Analysis at Harvard University to refine and improve on the metadata we offer for geospatial datasets. This will also be helpful for our upcoming integration with WorldMap, which will allow for geospatial data visualization of Datasets in Dataverse (more information coming soon!).
To see what else the Dataverse Development Team is working on for Metadata check out our feature tracking system, Redmine.