26 Survey Results: Survey Questions and Responses
14. What metadata schema are you primarily using for discovery of data? N=43
Dublin Core 30 70%
MODS 9 21%
DDI 8 19%
DataCite 4 9%
Dataverse 3 7%
MARC 1 2%
Other 4 9%
Citation metadata compiled by Dataverse software.
Consistent with Dataverse 4.0; for general discovery, Dublin Core Terms; DataCite 3.1; Dataverse JSON
(for API) used.
DD1 — Dataverse; MODS — Islandora
DDI (3 responses)
DDI and Dublin Core (2 responses)
DDI, DC, ISO 19115
Dublin Core (18 responses)
Dublin Core and MODS
Geoblacklight, Dublin Core (modiﬁed), MODS, MARC, EAD
Local deﬁned schemas, MODS, VRACore4
METS/MODS; Dublin Core (Zenodo)
Modiﬁed Dublin Core (3 responses)
Modiﬁed version of DDI and DataCite within ePrints.
MODS (3 responses)
There are diﬀerent scopes for discovery (structured metadata exposed for harvest, Linked Data, SEO
for external search engines such as Google, locally indexed metadata for search and browse, etc.) but
the most applicable schemata are qualiﬁed Dublin Core and DataCite.
Very basic Dublin Core. Researchers add their own metadata upon deposit. No element is required.
We have a custom developed schema that incorporates elements from other schema but also includes
speciﬁc elements that emphasize preservation of data. Our DMS consultants work with researchers to
ﬁll out a document or template that outlines these metadata elements. Once we move to OSF/Fedora,
we will hopefully work with the community to identify a common set of metadata elements that can be
incorporated into OSF for more automated procedures.
We use a custom schema somewhat based on DataCite but expressed in MODS.