Abstract
Background: The reuse of participant-level health data by public health and surveillance institutions, hospitals, doctors, and patients is an emerging priority for a number of national governments. Technical and semantic interoperability of health data ecosystems is important for detecting and responding to global health challenges, including emerging infectious diseases, antimicrobial resistance, and vaccine-preventable illnesses. In this scoping review, we will identify and describe health data ecosystems, spaces, clouds, and commons, national-level mechanisms for enabling the reuse of participant-level health data. Methods and analysis: We will apply the Arskey and O’Malley scoping review approach to describe governance, content, and semantic and technical interoperability of data and metadata in national health data ecosystems. We selected a scoping rather than a systematic review methodology to provide a high-level analysis of the current state of health data ecosystems’ implementation of the FAIR principles for data resources. The systematic search strategy was pilot tested and tailored for Ovid(Medline), CINAHL, and Web of Science. We will also conduct web scraping and consult stakeholders to identify additional health data ecosystems. Two reviewers will conduct the title-abstract and full-text screening and data charting independently. Discrepancies will be resolved by consensus, and results will be summarized in narrative form. Ethics and dissemination: Ethical approval is not required for this scoping review of published studies and grey literature. The scoping review protocol was registered prior to initiating the search strategy. Study results will be submitted for publication in an Open Access journal.
Funder
Horizon 2020 Framework Programme
Canadian Institutes of Health Research