Distributing non-MARC metadata: the CUGIR metadata sharing project

Chandler, Adam; Westbrooks, Elaine L.

doi:10.1016/s1464-9055(02)00247-6

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…20 According to Chandler and Westbrooks, construction of open systems and methods that provide the ability to link between different types of metadata is the path to information discovery. 21 They also discuss the need for the library technical services departments to be proactive not only in the creation and maintenance of non-MARC metadata, but more importantly, in the development of a means for widely sharing metadata with libraries that require it for resource discovery and access. Ahronheim and Marko cite the need for catalogers to participate in both the development and use of descriptive standards because standards easily allow data to be reused.…”

Section: Using Xml and Xsltmentioning

confidence: 99%

Metadata Makeover

Ilik¹,

Storlien²,

Olivarez³

2014

LRTS

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Section: Using Xml and Xsltmentioning

confidence: 99%

Metadata Makeover

Ilik¹,

Storlien²,

Olivarez³

2014

LRTS

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“…Linking among metadata value occurrences is an emerging activity that bears watching from a metadata management perspective. (2) Investigate the programmatic use of models such as the Simple Bucket Digital Object Model (Chandler and Westbrooks, 2002) and the Master Metadata File model (Davis, 1998;Mandel, 1998) for collocating metadata elements and values intended to be shared among distributed metadata records. Some models for managing related metadata occurrences involve collocating metadata elements from related records in a single digital object.…”

Section: Recommendations For Further Studymentioning

confidence: 99%

Repurposing MARC metadata: using digital project experience to develop a metadata management design

Kurth

Ruddy²,

Rupp³

2004

Library Hi Tech

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Metadata and information technology staff in libraries that are building digital collections typically extract and manipulate MARC metadata sets to provide access to digital content via non‐MARC schemes. Metadata processing in these libraries involves defining the relationships between metadata schemes, moving metadata between schemes, and coordinating the intellectual activity and physical resources required to create and manipulate metadata. Actively managing the non‐MARC metadata resources used to build digital collections is something most of these libraries have only begun to do. This article proposes strategies for managing MARC metadata repurposing efforts as the first step in a coordinated approach to library metadata management. Guided by lessons learned from Cornell University library mapping and transformation activities, the authors apply the literature of data resource management to library metadata management and propose a model for managing MARC metadata repurposing processes through the implementation of a metadata management design.

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“…GIS are computer systems that are capable of assembling, storing, manipulating, analyzing, and displaying geographically referenced information (Chandler andWestbrooks 2002, Guo 2009). Several MCDM techniques have been used to solve facility location planning problems including ELimination Et Choix Traduisant la REalité (ELECTRE), Preference…”

Section: Introductionmentioning

confidence: 99%

A multicriteria spatial decision support system for solving emergency service station location problems

Esmaelian

Tavana

Santos‐Arteaga

et al. 2015

International Journal of Geographical Information Science

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Earthquakes occurring in urban areas constitute an important concern for emergency management and rescue services. Emergency service location problems may be formulated in discrete space or by restricting the potential location(s) to a specified finite set of points in continuous space. We propose a Multicriteria Spatial Decision Support System to identify shelters and emergency service locations in urban evacuation planning. The proposed system has emerged as an integration of the geographical information systems (GIS) and the multicriteria Decision-Making method of Preference Ranking Organization Method for Enrichment Evaluation IV (PROMETHEE IV). This system incorporates multiple and often conflicting criteria and decision-makers' preferences into a spatial decision model. We consider three standard structural attributes (i.e., durability density, population density, and oldness density) in the form of spatial maps to determine the zones most vulnerable to an earthquake. The information on these spatial maps is then entered into the ArcGIS software to define the relevant scores for each point with regards to the aforementioned attributes. These scores will be used to compute the preference functions in PROMETHEE IV, whose net flow outranking for each alternative will be inputted in ArcGIS to determine the zones that are most vulnerable to an earthquake. The final scores obtained are integrated into a mathematical programming model designed to find the most suitable locations for the construction of emergency service stations. We demonstrate the applicability of the proposed method and the efficacy of the procedures and algorithms in an earthquake emergency service station planning case study in the city of Tehran.

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Distributing non-MARC metadata: the CUGIR metadata sharing project

Cited by 4 publications

References 15 publications

Metadata Makeover

Metadata Makeover

Repurposing MARC metadata: using digital project experience to develop a metadata management design

A multicriteria spatial decision support system for solving emergency service station location problems

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