Maps & GIS Data Libraries in the Era of Big Data and Cloud Computing

Abstract

In upcoming years, two major changes in the computing landscape will reshape how map and GIS data libraries (MGDLs) will be required to perform their core functions in the future. These advancements—cloud computing and the “Big Data era”—offer opportunities and challenges for libraries, but most dramatically changes. Commercial cloud computing solutions are available as on-demand service; low-cost, internal private clouds are now a financial possibility. Simultaneously, Geographic Information Science (GISci) data and services have advanced at an ever-increasing pace into the “Big Data,” swelling the types and amounts of GIS data and services available. These two shifts have and will impact the entire GIS world and MGDLs, in response, and will now be required to collect, curate, and make available more data and services than ever. The MGDL community must be prepared to respond and react in order to remain effective. This article explores the evolving landscapes within which MGDLs must operate and examines how their roles and operational organization will be impacted. The hope of the authors is that such analyses will spark community-driven discussion to motivate the next major phase of research and implementation in the world of MGDLs.

KEYWORDS:

• big data
• cloud computing
• GIS
• library

Notes

¹https://www.lib.ncsu.edu/gis/

²http://library.tamu.edu/maps-gis

³http://lib.stanford.edu/GIS

⁴https://uspatial.umn.edu/

⁵http://www.princeton.edu/∼geolib/gis/

⁶http://nyu.libguides.com/GIS

⁷https://wikis.uit.tufts.edu/confluence/display/GISatTufts/Home

⁸http://spatial.usc.edu/

⁹http://www.pgc.umn.edu

¹⁰gcoos.org