Meta Data Services

About: Meta Data Services is a research topic. Over the lifetime, 2564 publications have been published within this topic receiving 40102 citations.

Using Characteristics of Computational Science Schemas for Workflow Metadata Management

Abstract: Computational science workflows are generating an ever-increasing volume of data products. Metadata for these workflows is communicated using one or more discipline-specific schemas and is not static but instead is subject to frequent updates and additions. In contrast to general XML data, the unique uses for scientific metadata allow further optimization.We propose a general metadata catalog for storing scientific metadata that is optimized for community science use and communicates metadata as XML using the schemas of scientific domains. In this paper we show that our hybrid approach outperforms the well-known inlining approach to storing XML when applied to scientific metadata.

Creating context for the experiment record. User-defined metadata: investigations into metadata usage in the LabTrove ELN.

Abstract: The drive toward more transparency in research, the growing willingness to make data openly available, and the reuse of data to maximize the return on research investment all increase the importance of being able to find information and make links to the underlying data. The use of metadata in Electronic Laboratory Notebooks (ELNs) to curate experiment data is an essential ingredient for facilitating discovery. The University of Southampton has developed a Web browser-based ELN that enables users to add their own metadata to notebook entries. A survey of these notebooks was completed to assess user behavior and patterns of metadata usage within ELNs, while user perceptions and expectations were gathered through interviews and user-testing activities within the community. The findings indicate that while some groups are comfortable with metadata and are able to design a metadata structure that works effectively, many users are making little attempts to use it, thereby endangering their ability to recover data in the future. A survey of patterns of metadata use in these notebooks, together with feedback from the user community, indicated that while a few groups are comfortable with metadata and are able to design a metadata structure that works effectively, many users adopt a "minimum required" approach to metadata. To investigate whether the patterns of metadata use in LabTrove were unusual, a series of surveys were undertaken to investigate metadata usage in a variety of platforms supporting user-defined metadata. These surveys also provided the opportunity to investigate whether interface designs in these other environments might inform strategies for encouraging metadata creation and more effective use of metadata in LabTrove.

System, apparatus and method for enhancing metadata registration workflow

Abstract: Systems, apparatuses and methods are provided to enhance metadata registration workflow, such as in a multi-functional apparatus. User selection of metadata items and entry of metadata are captured to form a customized workflow to minimize performance by the user of redundant tasks.

MAGICAL demonstration: system for automated metadata generation for instructional content

Abstract: The "Tools for Automatic Generation of Learning Object Metadata" project addresses the requirement of developing advanced distributed learning delivery architecture and services for a large US government agency. We have developed a Webbased system called MAGIC (Metadata Automated Generation for Instructional Content) to assist content authors and course developers in generating metadata for learning objects and information assets to enable wider reuse of these objects across departments and organizations. Using the MAGIC system, content authors review and edit automatically-generated metadata sufficient to register and describe their assets for use and discovery in current and future distributed learning applications complying with the ADL SCORM standard. Course developers can use the system to assist in the conversion of existing courses to SCORM format or in developing new SCORM courses. The MAGIC system includes software tools to analyze and extract descriptive metadata from instructional videos, training documents, and other information assets. The tools generate some of the most critical SCORM metadata completely automatically. Benefits of MAGIC include easier reuse and repurposing, improved interoperability, and more timely registration of content for use by course developers. In this paper, we describe the system architecture, analysis tools developed, and services supported. A live demonstration of the system illustrating several use cases of the system will be presented at the conference, with a discussion of results from user studies and evaluation of the system.

A metadata manager's role in collaborative projects: The Rutgers University Libraries experience

Abstract: Purpose – This paper seeks to discuss the roles and responsibilities of a metadata manager in collaborative digital projects.Design/methodology/approach – The paper describes the general requirements for metadata management, and introduces some scenarios in the practices of digital projects by the Rutgers University Libraries to support the generalized definition. A workflow of metadata management is illustrated.Practical implications – With an explicit definition of the roles and responsibilities of the metadata manager, many other digital libraries that need to develop a new or optimize the existing workflow may find the Rutgers experience useful as a reference.Originality/value – Very few papers have explored this topic, although the functions of metadata in the development of digital projects have been talked about extensively.