The Need for Open-access, Structured Data in Endocrine Research

Publication Type:

Journal Article

Source:

Biomed Data J, Volume 1, Issue 1, p.33-35 (2015)

Keywords:

Biomedical Research, data management, Data Sharing, Endocrinology

Abstract:

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, access to and sharing of scientific data require substantial effort and investment 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 documented with data exchange in all clinical research, clinical registry, and patient care environments, including all electronic health records. It is nevertheless still necessary to create a database for endocrinology, particularly in light of new medical research that have blurred the concept of endocrinology as a discipline of basic science. The aim of this paper is to conceive datasets in endocrinology research and facilitate the exchange of data across studies and to promote interoperability between different research centres.

Full text: 

Hughes AF. A history of endocrinology. J Hist Med Allied Sci. 1977;32(3):292-313.
National Library of Medicine (brackets, no "et al."): Mastorci F, Iervasi G. The Need for Open-access, Structured Data in Endocrine Research. Biomed Data J. 2015;1(1):33-35.
National Library of Medicine (grant proposals with PMCID/PMID): Mastorci F, Iervasi G. The Need for Open-access, Structured Data in Endocrine Research. Biomed Data J. 2015;1(1):33-35.
National Library of Medicine (NLM) - Grant with PMID: Mastorci F, Iervasi G. The Need for Open-access, Structured Data in Endocrine Research. Biomed Data J. 2015;1(1):33-35.
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