Biomedical research and integrated biobanking : an innovative paradigm for heterogeneous data management
Izzo, Massimiliano
Biomedical research and integrated biobanking : an innovative paradigm for heterogeneous data management by Massimiliano Izzo - 1st ed. - Cham Springer 2016 - 1 recurso en línea (XX, 104 p.) 27 ilustraciones, 16 ilustraciones en color - Springer Theses, Recognizing Outstanding Ph.D. Research 2190-5053 . - Springer Theses, Recognizing Outstanding Ph.D. Research .
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
9783319312415
Bioinformática
QH324.2 / .I99 2016 EB
610.28
Biomedical research and integrated biobanking : an innovative paradigm for heterogeneous data management by Massimiliano Izzo - 1st ed. - Cham Springer 2016 - 1 recurso en línea (XX, 104 p.) 27 ilustraciones, 16 ilustraciones en color - Springer Theses, Recognizing Outstanding Ph.D. Research 2190-5053 . - Springer Theses, Recognizing Outstanding Ph.D. Research .
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
9783319312415
Bioinformática
QH324.2 / .I99 2016 EB
610.28