Experiment Management with Metadata-based Integration for Collaborative Scientific Research

Fusheng Wang, Gerald Madlmayr

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

11 Zitate (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.
TitelProceedings of the 22nd International Conference on Data Engineering, ICDE '06
PublikationsstatusVeröffentlicht - 2006
Veranstaltung22nd International Conference on Data Engineering, ICDE 2006 - Atlanta, USA/Vereinigte Staaten
Dauer: 3 Apr. 20068 Apr. 2006


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


Konferenz22nd International Conference on Data Engineering, ICDE 2006
Land/GebietUSA/Vereinigte Staaten