Automatic data enrichment: merging metadata from several sources

Today it is possible to uniquely identify authors and publications on common and well established ID systems such as ORCID, ISBN or DOI. Databases like CrossRef, Datacite, PubMed, IEEE or Scopus share their data using often freely accessible APIs. This opens completely new ways to automatically retrieve, merge, link, and enrich publication data. We would like to introduce an improved mechanism for importing and enriching bibliographic data, the so called "Enrichment Resolver". Incompleteness and ambiguity of publication metadata is common. Enriching data from external sources helps us to create the best possible version of every single metadata record. Looking at the author entries, it is our goal to get the most complete version of it, including person identifiers like OCRID, Scopus ID and other. Additionally, extra services like DOAJ or OADOI will be used to get further information like the open access state of the publication, which also can be added to the imported metadata. We would like to present how a "self-filling" publication repository or institutional bibliography could work like: Starting from an institutional identifier, we can get a list of institution members linked to their ORCID profiles, find publications there, import and enrich that publication data from various sources