| 000 | 02990nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-31241-5 | ||
| 003 | DE-He213 | ||
| 005 | 20200420220223.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160317s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783319312415 _9978-3-319-31241-5 |
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| 024 | 7 |
_a10.1007/978-3-319-31241-5 _2doi |
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| 050 | 4 | _aR856-857 | |
| 072 | 7 |
_aMQW _2bicssc |
|
| 072 | 7 |
_aTEC009000 _2bisacsh |
|
| 082 | 0 | 4 |
_a610.28 _223 |
| 100 | 1 |
_aIzzo, Massimiliano. _eauthor. |
|
| 245 | 1 | 0 |
_aBiomedical Research and Integrated Biobanking: An Innovative Paradigm for Heterogeneous Data Management _h[electronic resource] / _cby Massimiliano Izzo. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
| 300 |
_aXX, 104 p. 27 illus., 16 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
| 505 | 0 | _aBackground -- 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. | |
| 520 | _aThis 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. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aDatabase management. | |
| 650 | 0 | _aBioinformatics. | |
| 650 | 0 | _aBiomedical engineering. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aBiomedical Engineering. |
| 650 | 2 | 4 | _aDatabase Management. |
| 650 | 2 | 4 | _aBioinformatics. |
| 650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319312408 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-31241-5 |
| 912 | _aZDB-2-ENG | ||
| 942 | _cEBK | ||
| 999 |
_c52044 _d52044 |
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