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Biomedical Research and Integrated Biobanking: An Innovative Paradigm for Heterogeneous Data Management [electronic resource] / by Massimiliano Izzo.

By: Izzo, Massimiliano [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Theses, Recognizing Outstanding Ph.D. Research: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XX, 104 p. 27 illus., 16 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319312415.Subject(s): Biomedical engineering | Database management | Bioinformatics | Biomedical Engineering and Bioengineering | Database Management | Bioinformatics | Computational and Systems BiologyAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 610.28 Online resources: Click here to access online
Contents:
Background -- Motivation and State of the Art -- The JSON-based Data Model -- Results: the Integrated Biobanking Use Case -- Results: XTENS 2, a JSON-Compliant Repository -- Discussion -- Conclusions.
In: Springer Nature eBookSummary: This doctoral thesis reports on an innovative data repository offering adaptive metadata management to maximise information sharing and comprehension in multidisciplinary and geographically distributed collaborations. It approaches metadata as a fluid, loosely structured and dynamical process rather than a fixed product, and describes the development of a novel data management platform based on a schemaless JSON data model, which represents the first fully JSON-based metadata repository designed for the biomedical sciences. Results obtained in various application scenarios (e.g. integrated biobanking, functional genomics and computational neuroscience) and corresponding performance tests are reported on in detail. Last but not least, the book offers a systematic overview of data platforms commonly used in the biomedical sciences, together with a fresh perspective on the role of and tools for data sharing and heterogeneous data integration in contemporary biomedical research.
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Background -- Motivation and State of the Art -- The JSON-based Data Model -- Results: the Integrated Biobanking Use Case -- Results: XTENS 2, a JSON-Compliant Repository -- Discussion -- Conclusions.

This doctoral thesis reports on an innovative data repository offering adaptive metadata management to maximise information sharing and comprehension in multidisciplinary and geographically distributed collaborations. It approaches metadata as a fluid, loosely structured and dynamical process rather than a fixed product, and describes the development of a novel data management platform based on a schemaless JSON data model, which represents the first fully JSON-based metadata repository designed for the biomedical sciences. Results obtained in various application scenarios (e.g. integrated biobanking, functional genomics and computational neuroscience) and corresponding performance tests are reported on in detail. Last but not least, the book offers a systematic overview of data platforms commonly used in the biomedical sciences, together with a fresh perspective on the role of and tools for data sharing and heterogeneous data integration in contemporary biomedical research.

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