Authors:
- Nominated as an outstanding PhD thesis by the University of Genoa, Italy
- Reports on the first, fully JSON-based metadata repository designed for the biomedical sciences
- Describes the database performance in the case of large datasets, such as next-generation sequencing results
- Offers a systematic overview of current data repositories for biomedical science
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Oxford e-research Centre, University of Oxford, Oxford, United Kingdom
Massimiliano Izzo
Bibliographic Information
Book Title: Biomedical Research and Integrated Biobanking: An Innovative Paradigm for Heterogeneous Data Management
Authors: Massimiliano Izzo
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-31241-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-31240-8Published: 29 March 2016
Softcover ISBN: 978-3-319-80997-7Published: 25 April 2018
eBook ISBN: 978-3-319-31241-5Published: 17 March 2016
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XX, 104
Number of Illustrations: 11 b/w illustrations, 16 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Database Management, Bioinformatics, Computational Biology/Bioinformatics