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.
| ISBN: | 9783319312408 |
| Publication date: | 29th March 2016 |
| Author: | Massimiliano Izzo |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 104 pages |
| Series: | Springer Theses |
| Genres: |
Biomedical engineering Computational biology / bioinformatics Databases |
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.
Biomedical Research and Integrated Biobanking features in the following genres: Biomedical engineering, Computational biology / bioinformatics, Databases
Biomedical Research and Integrated Biobanking is available in Hardback
Biomedical Research and Integrated Biobanking was written by Massimiliano Izzo and published by Springer an imprint of Springer International Publishing
Biomedical Research and Integrated Biobanking has 104 pages
Yes it is part of Springer Theses series