An architecture for creating collaborative semantically capable scientific data sharing infrastructures

Authors:
Anuj R. Jaiswal;C. Lee Giles;Prasenjit Mitra;James Z. Wang
Affiliations:
The Pennsylvania State University, University Park, Pennsylvania;The Pennsylvania State University, University Park, Pennsylvania;The Pennsylvania State University, University Park, Pennsylvania;The Pennsylvania State University, University Park, Pennsylvania
Venue:
WIDM '06 Proceedings of the 8th annual ACM international workshop on Web information and data management
Year:
2006

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Abstract

Increasingly, scientists are seeking to collaborate and share data among themselves. Such sharing is can be readily done by publishing data on the World-Wide Web. Meaningful querying and searching on such data depends upon the availability of accurate and adequate metadata that describes the data and the sources of the data. In this paper, we outline the architecture of an implemented cyber-infrastructure for chemistry that provides tools for users to upload datasets and their metadata to a database. Our proposal combines a two level metadata system with a centralized database repository and analysis tools to create an effective and capable data sharing infrastructure. Our infrastructure is extensible in that it can handle data in different formats and allows different analytic tools to be plugged in.