Abstract
The demand for geospatial data across different disciplines and organisations has led to the development and implementation of spatial data infrastructures (SDI) and the theory and concepts behind them. An SDI is an evolving concept about facilitating and coordinating the exchange of geospatial data and services between stakeholders from different levels in the spatial data community. Universities and other research organisations typically have well-established libraries and digital catalogues for scientific literature, but catalogues for geospatial data are rare. Geospatial data is widely used in research, but geospatial data produced by researchers is seldom available, accessible and usable, e.g., for purposes of teaching or further research after completion of the project. This chapter describes the experiences of a number of SDI implementations at universities and research institutes. Based on this, the Academic SDI, an SDI for research and education, is defined and its stakeholders are described. The purpose, scope and stakeholders of the Academic SDI are described based on the formal model of an SDI developed by the International Cartographic Association (ICA) Commission on SDIs and Standards (formerly the Commission on Geoinformation Infrastructures and Standards). The results contribute to understanding the state-of-the-art in SDI implementations at universities and research institutes; how the Academic SDI differs from a ‘regular’ SDI; and which role players need to be involved in a successful SDI implementation for research and education.
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Bernard, L., Mäs, S., Müller, M., Henzen, C., & Brauner, J. (2014). Scientific geodata infrastructures: Challenges, approaches and directions. International Journal of Digital Earth, 7(7), 613–633.
Coetzee, S., Steiniger, S., Köbben, B., Iwaniak, A., Kaczmarek, I., Rapant, P., et al. (2017). SDI implementations at universities and research institutes. Retrieved January 21, 2017, from http://sdistandards.icaci.org/resources/.
Cooper, A. K., Moellering, H., Hjelmager, J., Rapant, P., Delgado, T., Laurent, D., et al. (2012). A spatial data infrastructure model from the computational viewpoint. International Journal of Geographical Information Science, 27(6), 1133–1151.
Cooper, A. K., Rapant, P., Hjelmager, J., Laurent, D., Iwaniak, A., Coetzee, S., et al. (2011). Extending the formal model of a spatial data infrastructure to include volunteered geographical information. In 25th International Cartographic Conference (ICC). Paris, France.
Crompvoets, J., Bregt, A., Rajabifard, A., & Williamson, I. (2004). Assessing the worldwide developments of national spatial data clearinghouses. International Journal of Geographical Information Science, 18, 665–690.
Dodsworth, E. H., &, Nicholson A. (2015). Using google earth in libraries: A practical guide for librarians. rowman and littlefield.
Haggett P. (2001). Geography: A global synthesis. Longman.
Harvard Geospatial Library (2016). Welcome to the Harvard Geospatial Library. Retrieved January 21, 2017, from http://calvert.hul.harvard.edu:8080/opengeoportal/.
Hjelmager, J., Moellering, H., Cooper, A., et al. (2008). An initial formal model for spatial data infrastructures. International Journal of Geographical Information Science, 22(11–12), 1295–1309.
Hootsmans, R., Huurneman, G., Lemmens, R., & Paresi, R (1999). Provisional plan for common database project (CDP). Internal report, ITC. Retrieved February 10, 2017, from http://kartoweb.itc.nl/kobben/publications/ProvisionalPlanforCommonDatabaseProject.pdf.
Köbben, B., de By, R., Foerster, T., Huisman, O., Lemmens, R., & Morales, J. (2010). Using the SDIlight approach in teaching a Geoinformatics master. Transactions in GIS, 14(s1), 25–37.
Medyckyj-Scott, D., Sutton, E., Higgins, C., & Heywood I. (2011). The European National Mapping and Cadastral Agencies and Higher Education A Market for Geospatial Information—Myth or Reality.
Michigan State University Libraries (2016). GIS data: Worldwide data. Retrieved January 21, 2017, from http://libguides.lib.msu.edu/gisdata.
MIT Libraries (2016). Geographic information systems (GIS): General data for the world. Retrieved January 21, 2017, from http://libguides.mit.edu/c.php?g=176295&p=1161383.
Nature (2016). Policies: Availability of data, materials and methods. http://www.nature.com/authors/policies/availability.html. Retrieved21 Jan 2017.
OGC (2010). OpenGIS web map server interface implementation specification revision 1.0.0. Technical report 00–028, Open Geospatial Consortium.
Ouellet, M. and Biondo, S. (2012). An open and powerful GIS data discovery engine. In Proceedings OGRS 2012. Retrieved October 24, 2016, from http://www.ogrs-community.org/proceedings/2012_proceedings/ogrs2012_symposium_proceedings.pdf.
Pauknerova, E., Horakova, B., & Ruzicka J. (2002). metainformation database system MIDAS as an On-Line Catalogue of Geodata of Public Administration in the transformation process. In 8th EC-GI and GIS WORKSHOP, ESDI—A Work in Progress, Dublin, Ireland July 3–5, 2002. Retrieved February 10, 2017, from http://www.ec-gis.org/Workshops/8ec-gis/cd/presentations/3_sp_ep.pdf.
Rajabifard, A., & Williamson, I. P. (2001). Spatial data infrastructures: Concept, SDI hierarchy and future directions. In: Proceedings of Geomatics ’80. Tehran, Iran.
Rey, S. J. (2014). Open regional science. The Annals of Regional Science, 52(3), 825–837.
Sagaris, L. (2014). Citizen participation for sustainable transport: The case of ‘Living City’ in Santiago, Chile (1997–2012). Journal of Transport Geography, 41, 74–83.
Saxon State and University Library (2016). The map collection. Retrieved October 20, 2016, from https://www.slub-dresden.de/en/collections/maps/the-map-collection.
Sinvula, K. M., Coetzee, S., Cooper, A. K., Owusu-Banahene, W., Nangolo, et al. (2017). A comparative analysis of stakeholder roles in the spatial data infrastructures of South Africa, Namibia and Ghana. Submitted paper, International Journal of Spatial Data Infrastructures Research.
Stanford University Libraries. (2016). Data. Retrieved January 21, 2017, from https://library.stanford.edu/research/stanford-geospatial-center/data.
Acknowledgements
Stefan Steiniger is grateful for funding by Conicyt (Conicyt/Fondap/15110020 and Conicyt/Fondecyt/1150239). Samy Katumba acknowledges the assistance and cooperation of Dr. Stefania Merlo, Chair of the GIS and remote sensing group at the University of the Witwatersrand, South Africa.
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Coetzee, S. et al. (2017). The Academic SDI—Towards Understanding Spatial Data Infrastructures for Research and Education. In: Peterson, M. (eds) Advances in Cartography and GIScience. ICACI 2017. Lecture Notes in Geoinformation and Cartography(). Springer, Cham. https://doi.org/10.1007/978-3-319-57336-6_8
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