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Original Articles

Functional Requirements Specification for Archival Asset Management: Identification and Integration of Essential Properties of Services-Oriented Architecture Products

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Pages 155-179 | Published online: 04 Sep 2015
 

Abstract

The complexity and size of geospatial data can constrain the capabilities of service providers and create risks to the long-term preservation and archiving of valuable information assets. While services-oriented architectures such as the Earth Data Analysis Center's Geographic Storage, Transformation and Retrieval Engine (GSToRE

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) facilitate increased use and impact of geospatial data by mitigating these complexities by development of dynamic applications and interfaces, such services can often be primarily focused on the maintenance and delivery of only the most current versions of geospatial data that may nonetheless possess significant historical, cultural, or scientific value. Actions and documentation required to assure long-term preservation may not be supported by existing business models or may be otherwise compromised. However, general purpose archives offer a preservation capability that is complementary to the value created by dynamic service providers. We present an overview of the features of GSToRE, and the DSpace

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repository platform and describe the requirements of a methodology for the harvest, quality assurance, and ingest of geospatial data into an institutional repository as a complement to the dynamic data access and visualization services provided by GSToRE and systems like it.

Notes

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5https://repository.unm.edu/

15National Science Foundation (Track 1 [Awards: 0447691, 0814449, 1301346] and Track 2 awards [0918635, 1329470])

16ACCESS-110018 NNX12AF52A

17supported by funding from FGDC in 2001 as part of their WebMap CAP solicitation

22documentation for available GSToRE services may be found at the GSToRE API documentation website - http://gstore.unm.edu/docs/index.html

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