Pulling on the Long Tail with Flyover Country, a Mobile App to Expose, Visualize, Discover, and Explore Open Geoscience Data

Abstract:

The ultimate EarthCube product has been described as a mobile app that provides all of the known geoscience data for a geographic point or polygon, from the top of the atmosphere to the core of the Earth, throughout geologic time. The database queries are hidden from the user, and the data are visually rendered for easy recognition of patterns and associations. This fanciful vision is not so remote: NSF EarthCube and Geoinformatics support has already fostered major advances in database interoperability and harmonization of APIs; numerous “domain repositories,” databases curated by subject matter experts, now provide a vast wealth of open, easily-accessible georeferenced data on rock and sediment chemistry and mineralogy, paleobiology, stratigraphy, rock magnetics, and more. New datasets accrue daily, including many harvested from the literature by automated means. None of these constitute big data – all are part of the long tail of geoscience, heterogeneous data consisting of relatively small numbers of measurements made by a large number of people, typically on physical samples.

This vision of mobile data discovery requires a software package to cleverly expose these domain repositories’ holdings; currently, queries mainly come from single investigators to single databases. The NSF-funded mobile app Flyover Country (FC; fc.umn.edu), developed for geoscience outreach and education, has been welcomed by data curators and cyberinfrastructure developers as a testing ground for their API services, data provision, and scalability. FC pulls maps and data within a bounding envelope and caches them for offline use; location-based services alert users to nearby points of interest (POI). The incorporation of data from multiple databases across domains requires parsimonious data requests and novel visualization techniques, especially for mapping of data with a time or stratigraphic depth component. The preservation of data provenance and authority is critical for researcher buy-in to all community databases, and further allows exploration and suggestions of collaborators, based upon geography and topical relevance.