Browsing by Subject "geoportals"

Now showing 1 - 3 of 3
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    A Collaborative Vision for Spatial Scholarship Across the CIC
    (2012) Bidney, Marcy; Mattke, Ryan; Weessies, Kathleen
    This paper identified geospatial data as a long term, interdisciplinary need that would necessitate increasingly complex infrastructures to manage. The authors concluded that these infrastructures would likely be prohibitively expensive for each CIC library to maintain individually, and they proposed collaborative solutions for long term management of geospatial resources.
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    OpenGeoMetadata Aardvark: A new geospatial metadata application profile
    (Journal of Map & Geography Libraries, 2024-08-13) Majewicz, Karen; Seifried, Rebecca; Powell, Susan
    In this article, we introduce OpenGeoMetadata (OGM) Aardvark, a metadata application profile designed to describe digital resources that are spatial in nature, including geospatial data, digitized maps, scanned aerial imagery, interactive web maps, and more. OGM Aardvark was originally developed for GeoBlacklight software to facilitate discovery with map interfaces and normalized text faceting. However, the schema’s flat structure and human-readable JSON format can be adapted to other platforms to power advanced keyword and spatial searches. We encourage everyone working with geospatial resources to consider using OGM Aardvark to describe these assets, either as the primary profile or to supplement a preservation metadata standard. We review how OGM Aardvark came to be, from its inception in 2014 as the “GeoBlacklight metadata schema” (GBL 1.0) to its current expanded form, and how it compares to other common metadata frameworks, such as MARC, DCAT, or ISO. Examples from GeoBlacklight instances demonstrate how OGM Aardvark enables patrons to discover geospatial resources.
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    A Spatial Collaboration: Building a Multi-Institution Geospatial Data Discovery Portal
    (2017) Blake, Mara; Majewicz, Karen; Mattke, Ryan; Weessies, Kathleen
    As academic education and research increasingly take advantage of geospatial data and methodologies, we see a corresponding exponential growth in the number of available geospatial resources in the form of GIS datasets and scanned historical maps. However, users can experience difficulty finding these resources due to the unconnected multitude of platforms and clearinghouses that host them. Additionally, the resources are not always well described with web semantic metadata that facilitates discovery. In response to this challenge, The Big Ten Academic Alliance Geospatial Data Project began in 2015 to provide discoverability, facilitate access, and connect scholars to geospatial resources. Our project leverages a multi-institutional collaboration and open source technologies to improve discovery for users of geospatial data and scanned maps. We outline collaborative workflows and strategies for a successful multi-institution collaboration.