Translational Bioinformatics. Translational Bioinformatics is the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data, into proactive, predictive, preventive, and participatory health.Translational Bioinformatics is the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and, genomic data, into proactive, predictive, preventive, and participatory health. Translational bioinformatics includes ,research on the development of novel techniques for the integration of biological and clinical data and the evolution of ,clinical informatics methodology to encompass biological observations. The end product of translational bioinformatics ,is newly found knowledge from these ,integrative efforts that can be disseminated to a variety of stakeholders, including, biomedical scientists, clinicians, and patients. There are two main routes to making research ,outputs ,openly accessible. One involves publishing articles or books, via the OA route on a publisher’s platform (often referred to as gold open, access). The other involves archiving a version, of the manuscript in an OA repository (often described as green open access). Content published via the gold OA route is accessible immediately on publication, while manuscripts deposited via the green, OA route may, in many cases, be made accessible only once a self-archiving embargo period has elapsed. The terms, for onward sharing and re-use, of OA content will depend on the licence under which it has been made available.