Discovery, Management, and Preservation of Geospatial Data Using Hydra

Durante, Kim; Hardy, Darren

doi:10.1080/15420353.2015.1041630

Cited by 16 publications

(8 citation statements)

References 20 publications

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“…Some portals were designed with a map preview function either as a thumbnail image or an interactive map so that users can have an idea about the datasets before downloading (Schwarb et al, 2011;Trimble et al, 2015). As the geographic analysis expands from its primary domain of geoscience to a broad range of disciplines, the new user groups need to access geospatial data collections in the way that reflects the current environment of web-based research and publishing activities (Durante and Hardy, 2015). So, web-based spatial visualization became a common requirement in the recent year's geoportal development.…”

Section: Designing the Spatial Data Management Strategiesmentioning

confidence: 99%

“…Finally, long-term preservation is another consideration for a data management system. Although it is not a frequently mentioned topic in most of the prevailing geoportal projects, it was studied in library-centered data management systems and the long-standing data programs such as the datasets managed by NASA (U.S. National Aeronautics and Space Administration) (Sweetkind, Larsgaard and Erwin, 2006;Durante and Hardy, 2015;Khayat and Kempler, 2015;Beaujardière, 2016). The long-term preservation requires a well-designed technical architecture which is usually independent with the routine geospatial data management system.…”

Section: Designing the Spatial Data Management Strategiesmentioning

confidence: 99%

“…Many researches in the geographic information science has explored the efficiency of geospatial web services, which will provide great insights for building the data management system (Yang et al, 2006;Li et al, 2015). Academic libraries has also explored to manage geospatial data via their institutional data repositories (Newton, Miller and Bracke, 2010;Durante and Hardy, 2015). We will explore the data management options in various projects and analyze the capabilities offered by each option.…”

Section: Introductionmentioning

confidence: 99%

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One store has all? - the backend story of managing geospatial information toward an easy discovery

Kong

2019

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Geospatial data includes many formats, varying from historical paper maps, to digital information collected by various sensors. Many libraries have started the efforts to build a geospatial data portal to connect users with the various information. For example, GeoBlacklight and OpenGeoportal are two open-source projects that initiated from academic institutions which have been adopted by many universities and libraries for geospatial data discovery. While several recent studies have focused on the metadata, usability and data collection perspectives of geospatial data portals, not many have explored the backend stories about data management to support the data discovery platform. The objective of this paper is to provide a summary about geospatial data management strategies involved in the geospatial data portal development by reviewing case studies. These data management strategies include managing the historical paper maps, scanned maps, aerial photos, research generated geospatial information, and web map services. This paper focuses on the data organization, storage, cyberinfrustracture configuration, preservation and sharing perspectives of these efforts with the goal to provide a range of options or best management practices for information managers when curating geospatial data in their own institutions.

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Section: Designing the Spatial Data Management Strategiesmentioning

confidence: 99%

Section: Designing the Spatial Data Management Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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One store has all? - the backend story of managing geospatial information toward an easy discovery

Kong

2019

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“…Some contemporary data management solutions address the need to enable the spatial discovery of resources, but do not enhance discovery of resources through semantic links. GeoBlacklight, for instance, is an open source, multi‐institutional software project that many libraries are currently adopting (Addison, Moore, & Hudson‐Vitale, ; Durante & Hardy, ). It offers users text‐based, spatial, and faceted semantic search to enable discovery of GIS‐consumable resources across organizations (Hardy & Durante, ).…”

Section: Background and Related Workmentioning

confidence: 99%

Spatial discovery and the research library

Lafia

Jablonski

Kuhn

et al. 2016

Transactions in GIS

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Academic libraries have always supported research across disciplines by integrating access to diverse contents and resources. They now have the opportunity to reinvent their role in facilitating interdisciplinary work by offering researchers new ways of sharing, curating, discovering, and linking research data. Spatial data and metadata support this process because location often integrates disciplinary perspectives, enabling researchers to make their own research data more discoverable, to discover data of other researchers, and to integrate data from multiple sources. The Center for Spatial Studies at the University of California, Santa Barbara (UCSB) and the UCSB Library are undertaking joint research to better enable the discovery of research data and publications. The research addresses the question of how to spatially enable data discovery in a setting that allows for mapping and analysis in a GIS while connecting the data to publications about them. It suggests a framework for an integrated data discovery mechanism and shows how publications may be linked to associated data sets exposed either directly or through metadata on Esri's Open Data platform. The results demonstrate a simple form of linking data to publications through spatially referenced metadata and persistent identifiers. This linking adds value to research products and increases their discoverability across disciplinary boundaries.3

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“…These projects began with the realization that full-scale geospatial metadata, such as the International Standards Organization (2007) 191xx series (ISO) and the Federal Geographic Data Committee (1998) Content Standard for Digital Geospatial Metadata (FGDC), do not crosswalk well with the underlying platforms and search indices typically required for discovery catalogs (Hardy & Durante, 2014;Poore & Wolf, 2013). Furthermore, the communities behind both projects have acknowledged that the proliferating array of geospatial data formats and standards makes it difficult to collect, curate, and present data as durable digital library assets (Hardy & Durante, 2015;Hardy, Reed, & Sadler, 2016). Authoring and maintaining rich geospatial metadata is a formidable task; the ISO and FGDC standards contain over 300 element sets each.…”

Section: Introductionmentioning

confidence: 99%

Consortial Geospatial Data Collection: Toward Standards and Processes for Shared GeoBlacklight Metadata

Battista¹,

Majewicz²

2018

Preprint

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Consortial geospatial data communities, such as the OpenGeoPortal federation and the GeoBlacklight initiative, facilitate contextualized discovery and promote metadata sharing to disperse hosting and preservation responsibilities across institutions. However, the challenges of communal metadata are manifold; they include proliferating standards, varying levels of completeness, mutable technology infrastructures, and uneven availability of human labor. Drawing from literature on metadata quality control, we outline a procedure for "scoring" GeoBlacklight records to establish a Domain Specific Language for metadata best practices. We propose strategies for authorship and management conducive to functionally interoperable geospatial metadata, that is versioned and enhanceable by the collective.

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Discovery, Management, and Preservation of Geospatial Data Using Hydra

Cited by 16 publications

References 20 publications

One store has all? - the backend story of managing geospatial information toward an easy discovery

One store has all? - the backend story of managing geospatial information toward an easy discovery

Spatial discovery and the research library

Consortial Geospatial Data Collection: Toward Standards and Processes for Shared GeoBlacklight Metadata

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