Machine-readable semantic metadata, is metadata that can be easily processed by a computer, retaining the meaning of terms. The purpose of this scoping review was to determine whether the metadata suggested in biobank classifications literature addressed permissions to share biospecimens and associated data, and whether the literature on consent to share addressed contextual information about biobanks. A shared semantic metadata scheme would support web-based queries of biobanks for specimens and data available for sharing, a need in an era of global collaboration (biobanking 3.0). Interestingly, just as the biobank classification literature did not point to the consent coding and classification systems, the consent permissions literature did not point to biobank classification systems. Findings form this study are informing the refactoring and expansion of the Informed Consent Ontology (ICO).
Learning Objective: Particpants will be able to describe the contributions of a scoping review to ontology development.
Marcelline Harris (Presenter)
University of Michigan
Frank Manion, University of Michigan
Madhuri Sankaranarayanapillai, University of Texas Health Science Center at Houston
Hsingyi Song, University of Texas Health Science Center at Houston
Marisa Conte, University of Michigan
Cui Tao, University of Texas Health Science Center at Houston