Experiment Management with Metadata-based Integration for Collaborative Scientific Research

Fusheng Wang, Gerald Madlmayr

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

11 Citations (Scopus)


Scientific research in many fields is increasingly a collaborative effort across multiple institutions and disciplines. Scientific researchers need not only an effective system to manage their data, results, and the experiments that generate the results, but also a platform to integrate, share and search these across multiple institutions. Therefore, researchers are able to reuse experiments, pool expertise and validate approaches. In this paper, we present Sci- Port, a system of experiment management and integration for collaborative scientific research. SciPort's architecture uses i) a general transformation-based data model to represent and link experiment processes; ii) hierarchical data classification across multiple institutions according to research programs' goals and organization; iii) metadatacentric representation that concisely captures the context of experiments; and iv) virtual data integration through centralized metadata integration. The system is built for open source, and the metadata-based representation and integration provides a unified framework and tool set to manage and share experiments for scientific research communities.
Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Data Engineering, ICDE '06
Number of pages1
Publication statusPublished - 2006
Event22nd International Conference on Data Engineering, ICDE 2006 - Atlanta, United States
Duration: 3 Apr 20068 Apr 2006

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627


Conference22nd International Conference on Data Engineering, ICDE 2006
Country/TerritoryUnited States

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