چکیده:
The paper provides an overview over the functionalities of the proposed harvesting model (BURA – Burdwan University Research Archive) and describes the activities involved in harvesting resources from OAI compliant LIS (Library and Information Science) repositories. Repositories, registered in OpenDOAR database, containing 'Library and Information Science' as one of the key subject have been considered and finally 117 repositories have been short listed on the basis of framed criteria. The purpose of this paper is to report an integrated Web-enabled distributed harvesting model that can extract and update metadata index efficiently from any OAI-PMH driven repositories on global scale. The findings suggest that LIS repositories are not up to the global standards and lack contents compared to others disciplinary repositories. It should follow open standards and should respect essence of interoperability. The model may be an interoperability solution to the professional librarians in designing and developing federated search option for multiple repositories from a single-window search interface. Thus, it may be concluded that this proposed harvesting framework may work as a guiding tool to those who plan to set up new OAI-based service provider.
خلاصه ماشینی:
com Abstract The paper provides an overview over the functionalities of the proposed harvesting model (BURA Burdwan University Research Archive) and describes the activities involved in harvesting resources from OAI compliant LIS (Library and Information Science) repositories.
Literature Review Crow (2002) suggested that systems (IR) must be able to support interoperability and able to harvest metadata through multiple search engines and other standard discovery tools in order to provide broader access to the academic and research community, users outside the institution.
Pieper and Summann (2006) reported the activities of Bielefeld University Library in establishing OAI based repository servers and provides an overview of the functionalities of BASE (Bielefeld Academic Search Engine) and gives insight into the challenges that have to be faced when harvesting and integrating resources from multiple OAI servers.
Another study (Singh, Pandita & Dash, 2008) shared practical experiences and showed how metadata is harvested (extracted) from data providers (repositories) by service providers (search engines) using this model.
TabTe l Parameters for selection of LIS OARs Criteria / Parameters Support for OAI-PMH (version 2) Number of objects uploaded Language covered User Interface Type of software used Metadata Schemas Data type Data format Data availability Licensing model Access pattern Browsing and Sorting Searching Conditions (order of preferences) Available for metadata harvesting 10,000 and above English (at least) Available in English Distributed architecture Open Standard Textual (at least) Variety of format supported Abstract or Full text Standardized license Open access/embargo Metadata elements Simple and Advanced (at least) / BURA: A Prototype BURA is basically a prototype union catalogue of OAI based repositories that support harvesting updated metadata efficiently from a single-window search interface to facilitate retrieval of OA resources across the globe.