SciPort: An extensible data management platform for biomedical research

Fusheng Wang; Peiya Liu; John Pearson

doi:10.1142/9789814307710_0003

SciPort: An extensible data management platform for biomedical research

Fusheng Wang
, Peiya Liu
, John Pearson

Biomedical Informatics

Siemens

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Abstract

Scientific data from biomedical research are proliferating in both heterogeneity and complexity. A biomedical data management system needs to address the following critical issues: i) modeling, authoring, storing and querying of complex scientific data; ii) data consistency among users; iii) a generic architecture adaptable or managing scientific data from different applications; and iv) integrating and sharing distributed data sources.

Original language	English
Title of host publication	Database Technology For Life Sciences And Medicine
Publisher	World Scientific Publishing Co.
Pages	35-63
Number of pages	29
ISBN (Electronic)	9789814307710
DOIs	https://doi.org/10.1142/9789814307710_0003
State	Published - Jan 1 2010

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abstract = "Scientific data from biomedical research are proliferating in both heterogeneity and complexity. A biomedical data management system needs to address the following critical issues: i) modeling, authoring, storing and querying of complex scientific data; ii) data consistency among users; iii) a generic architecture adaptable or managing scientific data from different applications; and iv) integrating and sharing distributed data sources.",

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T2 - An extensible data management platform for biomedical research

AU - Wang, Fusheng

AU - Liu, Peiya

AU - Pearson, John

PY - 2010/1/1

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N2 - Scientific data from biomedical research are proliferating in both heterogeneity and complexity. A biomedical data management system needs to address the following critical issues: i) modeling, authoring, storing and querying of complex scientific data; ii) data consistency among users; iii) a generic architecture adaptable or managing scientific data from different applications; and iv) integrating and sharing distributed data sources.

AB - Scientific data from biomedical research are proliferating in both heterogeneity and complexity. A biomedical data management system needs to address the following critical issues: i) modeling, authoring, storing and querying of complex scientific data; ii) data consistency among users; iii) a generic architecture adaptable or managing scientific data from different applications; and iv) integrating and sharing distributed data sources.

UR - https://www.scopus.com/pages/publications/84957007145

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DO - 10.1142/9789814307710_0003

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BT - Database Technology For Life Sciences And Medicine

PB - World Scientific Publishing Co.

ER -

SciPort: An extensible data management platform for biomedical research

Abstract

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