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.

Semi-automatic metadata extraction from imagery and cartographic data

Abstract: Metadata are necessary to allow discovery and description of data and service resources within a Spatial Data Infrastructure, however current manual metadata editing workflows are tedious and under-utilized. We discuss on-going developments for semi-automatic metadata extraction from well- known imagery and cartographic data sources, being implemented within an open source software project in Spain. Internal metadata are collected automatically and the user can then choose to add external metadata, and to publish the final metadata record to catalogues. The next step will be to extract implicit metadata using Google-like methods.

Beyond Theory: Preparing Dublin Core Metadata for OAI-PMH Harvesting

Abstract: This article will focus on how two different metadata harvesters—OAIster and the Online Computer Library Center's (OCLC) WorldCat—transform and present Dublin Core metadata extracted from CONTENTdm. It offers an examination, in plain language, of what two service providers do to metadata once they are harvested, and, in a case study, shows examples of how specific records display in both the local and aggregated interfaces. By helping metadata creators understand what happens to their metadata as it is harvested and transformed, this article aims to assist them in designing their metadata to be intelligible and useful to end-users across platforms.

Library Personnel’s Role in the Creation of Metadata: A Survey of Academic Libraries

Abstract: The digital age has caused the paradigm to shift in academic libraries both in terms of their collections and the roles of their personnel. As academic libraries begin to digitize objects in their collections, how and who in the library creates access to these resources has become a hot issue. At the University of Nebraska-Lincoln Libraries (UNL Libraries), taskforces were formed to study metadata schemes used at UNL Libraries. The taskforces identified the various metadata schemes in use and the role of various departments within UNL Libraries in the creation of metadata. They made recommendations about how to document decisions relating to metadata and how to coordinate metadata creation and digitization projects. As a result, the authors decided to survey American Research Libraries (ARL) and other peer libraries to determine their metadata workflow. This paper discusses the results of the survey and provides insight as to how libraries may meet the challenge of creating metadata through the r...

Interface design for metadata creation

Abstract: The rapid growth of the Web has increased the importance of decentralized metadata creation. Resource authors must create their own metadata to enable enhanced information seeking and retrieval, and they need effective interfaces to support their work. This paper reports a baseline study of author interactions with a metadata system and draws implications for the design of future interfaces.

Metadata capital: Raising awareness, exploring a new concept

Abstract: EDITOR'S SUMMARY While the value of information is widely recognized, the next step is recognizing metadata as an economic asset. Generating metadata involves costs in technological and human resources, but failure to generate and use metadata can lead to lost opportunity costs. Metadata activities are ultimately motivated by a drive for return on investment. The view of metadata as capital emphasizes that it has value that can rise with reuse. Metadata capital is defined as an asset that captures contextual knowledge about any information object, is produced by human labor or automated processes and yields a product or facilitates some service and can benefit the public. Expediting reuse of data and metadata is the key to maximizing their value, and early research demonstrates value in the linked open vocabulary environment and in reusing URIs. A collaborative project of the National Consortium for Data Science, the Metadata Capital Initiative, is focusing on the value of metadata through reuse in a big data setting to document its specific contributions to technology methods and intellectual advances.