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Table of contents

  1. Front Matter
    Pages i-xx
  2. Massimiliano Izzo
    Pages 1-7
  3. Massimiliano Izzo
    Pages 9-37
  4. Massimiliano Izzo
    Pages 39-48
  5. Massimiliano Izzo
    Pages 49-59
  6. Massimiliano Izzo
    Pages 61-88
  7. Massimiliano Izzo
    Pages 89-94
  8. Massimiliano Izzo
    Pages 95-97
  9. Back Matter
    Pages 99-104

About this book

Introduction

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.

Keywords

Metadata Model Life Science Data Management SchemalessData Model Extensible Data Models Managing Metadata Repositories Metadata Standardization Many-to-many Associations XTENS Data Sharing in Biobanking

Authors and affiliations

  • Massimiliano┬áIzzo
    • 1
  1. 1.Oxford e-research CentreUniversity of OxfordOxfordUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-31241-5
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-31240-8
  • Online ISBN 978-3-319-31241-5
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site