Crosswalks: Transform your metadata

Developing a metadata crosswalk is a resource intensive process requiring sound knowledge of both the source and destination schema. A crosswalk maps the elements (or fields) in one schema, to the equivalent elements in another schema.

ARDC staff and partners have developed numerous crosswalks - most commonly from discipline or platform specific schema to RIF-CS, the schema that underpins the Research Data Australia (RDA) Registry and Research Data Australia.

Scope

ARDC maintains a number of crosswalks that generate RIF-CS from various platform specific schemas, including: ISO 19115-1:2014; CKAN; Elsevier PURE; Figshare; DDI; etc.

ARDC staff are able to provide further information about existing crosswalks, and may be able to assist with adapting them, or creating additional, to meet new use cases.

We encourage you to ask us about crosswalks you may be interested in, and to also let us know if you have a crosswalk you are willing to share.

Harvest configuration

Crosswalks have been developed to enable a harvest to be configured to ingest non-RIF-CS records into the RDA Registry. The RDA Registry software is capable of:

• harvesting XML or Json-LD of any schema; transforming harvested source metadata that is not RIF-CS, to RIF-CS XML, by applying an XSLT (configured per data source)
• harvesting via a selection of harvest methods including HTTP GET and OAI-PMH.

Find out more about Data Source harvest configuration and XSLTs in the RDA Registry.

Related resources

• Human-readable mapping document between DublinCore, DataCite and RIF-CS.
• The RDA Content Providers Guide (CPG) can assist with understanding the semantic content of RIF-CS schema documents for mapping or planning purposes.