Data Management Data Sharing

Data sharing has become a ‘hot topic ’ for university librarians, faculty, and research centers, with particular focus within biomedical science, to prevent duplication of effort, promote scientific integrity, and permit the creation of new data sets when data from multiple sources are combined. However, ac-cess to and sharing of scientific data require substantial effort and invest-ment to define specifications and generate requisite resources. Studies from well-designed and well-conducted medical registries can provide a real-world view of clinical practice, patient outcomes, safety, and may strengthen evidence-based decision making processes. At present, if cardiovascular data management has been sufficiently doc-umented with data exchange in all clinical research, clinical registry, and pa-tient care environments, including all electronic health records. It is never-theless still necessary to create a database for endocrinology, particularly in light of new medical research that have blurred the concept of endocrinol-ogy as a discipline of basic science. The aim of this paper is to conceive da-tasets in endocrinology research and facilitate the exchange of data across studies and to promote interoperability between different research centers