Metadata services on the Grid

We present an interface for metadata access on the Grid, designed to support flexible schema management, efficient retrieval of large result sets and to allow a broad range of implementations. We also describe an implementation of this interface, which supports a wide range of storage back-ends and two access protocols: SOAP and a TCP-streaming-based protocol. This interface and implementation have been selected as the official metadata components of the gLite-EGEE middleware. Finally, we present the results of extensive performance studies, where the two front-ends are compared to evaluate the cost of using SOAP as metadata access protocol.http://www.sciencedirect.com/science/article/B6TJM-4HRDX94-8/1/b801bfbc291fe7dad0af0e169eb4ec3

Building Expertise From Within: One Department\u27s Look at New Ways to Cultivate Cataloging Knowledge for their Staff

USU Cataloging and Metadata Services Unit looked at new ways to cultivate cataloging knowledge for their staff

UT Digital Repository: 10-11 Annual Report

UT Librarie

Consultative Metadata Services @ Cornell University

Slides from Kovari's presentation about consultative services provided by Cornell University Library's Metadata Services unit

Towards information profiling: data lake content metadata management

There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, commonly called Data Lakes (DL). These BD require new techniques of data integration and schema alignment in order to make the data usable by its consumers and to discover the relationships linking their content. This can be provided by metadata services which discover and describe their content. However, there is currently a lack of a systematic approach for such kind of metadata discovery and management. Thus, we propose a framework for the profiling of informational content stored in the DL, which we call information profiling. The profiles are stored as metadata to support data analysis. We formally define a metadata management process which identifies the key activities required to effectively handle this.We demonstrate the alternative techniques and performance of our process using a prototype implementation handling a real-life case-study from the OpenML DL, which showcases the value and feasibility of our approach.Peer ReviewedPostprint (author's final draft

Management of E-Resources Cataloging Workflows at the University of Maryland, College Park

In 2011, one of the authors, a staff member of the Metadata Services Department at the University of Maryland, College Park, created an electronic resources cataloging management database (ERCM) to manage the details of MARC record set loads to the online catalog. After attending the NISO Standards update session entitled “The NISO ERM Data Standards and Best Practices Review” presentation at the 2012 Annual Conference of the American Library Association, at which cataloging workflow support was referred to as a problem area in electronic resources management, she decided to follow up with an investigation of the nature of the problem and to explore its relevancy to the ERCM. This article will inform metadata services departments about the management of constantly changing electronic resources cataloging workflows and also discuss cataloging workflow as it pertains to Electronic Resources Management System (ERMS) development