A method and software framework for enriching private biomedical sources with data from public online repositories

Alberto Anguita, Miguel García-Remesal, Norbert M. Graf, Victor Maojo

Abstract: Highlights•A method for enriching private sources with data from public databases is proposed.•Related public data is automatically identified and linked to existing private database records.•We tested our approach by linking a private Wilm’s tumor data set to NCBI records.•The integrated data can be browsed via SPARQL queries over a common schema (HDOT).•Our tool can be used to import public data from other public resources and tools.