Adding eScience Assets to the Data Web

TL;DR

This paper introduces OAI-ORE, a framework for identifying and describing aggregations of Web resources, facilitating integration of scholarly data into the Data Web based on Web, Semantic Web, and Linked Data principles.

Contribution

It presents the OAI-ORE specifications for resource aggregation, enabling better integration of scholarly assets into the Data Web.

Findings

OAI-ORE specifications align with Web, Semantic Web, and Linked Data principles.

Implementation of OAI-ORE supports scholarly resource aggregation.

Enhances integration of research outputs into the Data Web.

Abstract

Aggregations of Web resources are increasingly important in scholarship as it adopts new methods that are data-centric, collaborative, and networked-based. The same notion of aggregations of resources is common to the mashed-up, socially networked information environment of Web 2.0. We present a mechanism to identify and describe aggregations of Web resources that has resulted from the Open Archives Initiative - Object Reuse and Exchange (OAI-ORE) project. The OAI-ORE specifications are based on the principles of the Architecture of the World Wide Web, the Semantic Web, and the Linked Data effort. Therefore, their incorporation into the cyberinfrastructure that supports eScholarship will ensure the integration of the products of scholarly research into the Data Web.