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Revisiting the Concept of Risk Analysis within the Context of Geospatial Database Design: A Collaborative Framework

Authors: J. Grira, Y. Bédard, S. Roche

Abstract:

The aim of this research is to design a collaborative framework that integrates risk analysis activities into the geospatial database design (GDD) process. Risk analysis is rarely undertaken iteratively as part of the present GDD methods in conformance to requirement engineering (RE) guidelines and risk standards. Accordingly, when risk analysis is performed during the GDD, some foreseeable risks may be overlooked and not reach the output specifications especially when user intentions are not systematically collected. This may lead to ill-defined requirements and ultimately in higher risks of geospatial data misuse. The adopted approach consists of 1) reviewing risk analysis process within the scope of RE and GDD, 2) analyzing the challenges of risk analysis within the context of GDD, and 3) presenting the components of a risk-based collaborative framework that improves the collection of the intended/forbidden usages of the data and helps geo-IT experts to discover implicit requirements and risks.

Keywords: Collaborative risk analysis, intention of use, Geospatial database design, Geospatial data misuse.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334227

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References:


[1] Bédard, Y., 2011, Data Quality + Risk Management + Legal Liability = Evolving Professional Practices, FIG Working Week 2011, May 16-22, Marrakech, Morroco.
[2] Grira, J., Y. Bédard, T. Sboui, 2012, A Collaborative User-Centered Approach to Fine-Tune Geospatial Database Design, S. Castano et al.(Eds.):ER Workshops 2012, LNCS 7518,Springer-Verlag Berlin Heidelberg, pp. 272-283.
[3] Rowe, G.,G. Wright. The Delphi technique: Past, present, and future prospects ÔÇö Introduction to the special issue. Technological Forecasting & Social Change 78 (2011) 1487-1490.
[4] B. W. Boehm. Software Risk Management: Principles and Practices. IEEE Software, 8(1):32-41, 1991.
[5] V.A. Ba├▒uls, M. Turoff, Scenario construction via Delphi and crossimpact analysis, Technol. Forecast. Soc. Chang. 78 (2011) 1579-1602.
[6] J. Landeta, J. Barrutia, A. Lertxundi, Hybrid Delphi: a methodology to facilitate contribution from experts in professional contexts, Technol. Forecast. Soc.Chang. 78 (2011) 1629-1641.
[7] M. Nowack, J. Endrikat, E. Guenther, Review of Delphi-based scenario studies: quality and design considerations, Technol. Forecast. Soc. Chang. 78 (2011)1603-1615.
[8] Devillers, R., Y. Bédard, M. Gervais, F. Pinet, M. Schneider, L. Bejaoui, M.-A. Levesque, M. Salehi, A. Zargar, 2007, How to improve Geospatial Data Usability: From Metadata to Quality-Aware GIS Community, Spatial Data Usability, A AGILE Pre-Conference Workshop, May 8th, Aalborg, Denmark.
[9] Levesque, M.-A., Y. Bédard, M. Gervais, R. Devillers, 2007, Towards managing the risks of data misuse for spatial datacubes, Proceedings of the 5th International Symposium on Spatial Data Quality, June 13-15, Enschede, Netherlands.
[10] ISO/IEC Guide 51: 1999, Safety Aspects - Guidelines for their inclusion in standards.
[11] ISO Guide 73:2009: Risk Management - Vocabulary.
[12] Grira, J., Bédard, Y., Roche, S.: Spatial Data Uncertainty in the VGI World: going from Consumer to Producer. Geomatica, Jour. of the Can. Inst. of Geomatics 64(1), 61-71 (2009)
[13] Sboui, T., M. Salehi, Y. Bédard, 2010, A systematic approach for managing the risk related to semantic interoperability between geospatial datacubes, International Journal of Agricultural and Environmental Information Systems, Vol. 1, No. 2, pp. 20-41
[14] Bédard, Y., 2011, Professional Practices with Regards to Geospatial Data Quality, Risk Management and Legal Liability, May 27th, Technical University of Athens, Geomatics Dept., Greece.
[15] Levesque, M.-A., Y. Bédard, M. Gervais, R. Devillers, 2007, Towards managing the risks of data misuse for spatial datacubes, Proceedings of the 5th International Symposium on Spatial Data Quality, June 13-15, Enschede, Netherlands.
[16] ISO 31000:2009, Risk Management.
[17] PMI. A guide to the project management body of knowledge(PMBOK guide). 4th ed. Project ManagementInstitute; 2009.
[18] Greene, J., A. Stellman, Head First PMP. 2nd ed. O-Reilly. 2009
[19] E. Yu. Modelling Strategic Relationships for Process Engineering. PhD thesis,University of Toronto, Department of Computer Science, 1995.
[20] A. Dardenne, A. van Lamsweerde, and S. Fickas. Goal-Directed RequirementsAcquisition. Science of Computer Programming, 20:3-50, 1993.
[21] Sharp, H., Finkelstein, A., Galal, G.: Stakeholder identification in the requirements engineering process. In: Proc. of the 10th Int. Work. on Data. & Expert Syst. App. (1999)
[22] Aoyama, M.: Persona-and-scenario based requirements engineering for software embedded in digital consumer products. In: Proc. of the IEEE Int. Req. Eng. Conf., pp. 85-94 (2005)
[23] Maiden, N., Robertson, S.: Integrating creativity into requirements processes: experiences with an air traffic management system. In: Proc. of the IEEE Int. Req. Eng. Conf. (2005)
[24] Jackson, D.: Software Abstractions: Logic, Language, and Analysis. MIT Press (2006)
[25] Wasson, K.S.: A case study in systematic improvement of language for requirements. In: Proc. of the IEEE Int. Req. Eng. Conf. (RE), pp. 6-15 (2006)
[26] Robinson, W.N., Pawlowski, S.D., Volkov, V.: Requirements interaction management. ACM Computing Surveys 35(2), 132-190 (2003)
[27] Feather, M.S.: Towards a unified approach to the representation of, and reasoning with, probabilistic risk information about software and its system interface. In: Int. Sym. on Soft. Reliab. Eng., pp. 391-402 (2004)
[28] Ryan, K.: The role of natural language in requirements engineering. In: Proceedings of the IEEE International Symposium on Requirements Engineering, San Diego, CA, pp. 240-242. IEEE Computer Society Press, Los Alamitos (1993)
[29] Van, T., Lamsweerde, V.A., Massonet, P., Ponsard, C.: Goal-oriented requirements animation. In: Proc. of the IEEE Int. Req. Eng. Conf (RE), pp. 218-228 (2004)
[30] ISO 3864-2:2004 - Graphical symbols - Safety colours and safety signs: Design principles for product safety labels
[31] Bédard, Y., J. Chandler, R. Devillers, M. Gervais, 2009, System Design Methods and Geospatial Data Quality, Association of American GeographersProfessional Ethics-Session on Geographic Information Ethics and GIScience, March 22-27, Las Vegas, USA.
[32] Gervais M., Y. Bédard, R. Jeansoulin& B. Cervelle, 2007, Qualité des données géographiques. Obligations juridiques potentielles et modèle du producteur raisonnable, Revue Internationale de Géomatique, Vol. 17, No. 1, pp. 33-62
[33] Public Protection and Ethical Dissemination of Geospatial Data - Social and Legal Aspects. Examples of geospatial data misuse: http://dataquality.scg.ulaval.ca/
[34] Agumya, A., Hunter, G.J., 1999. A Risk-Based Approach to Assessing the ÔÇÿFitness for Use- of Spatial Data, URISA Journal, Vol. 11, No. 1, pp. 33-44.
[35] Nalon, F. R., Braga, J. L., Borges, K. A. D. V., & Andrade, M. V. A. (2011). Applying the Model Driven Architecture Approach for Geographic Database Design using a UML Profile and ISO Standards. Journal of Information and Data Management, 2(2), 171.
[36] Fonseca, F. T., Egenhofer, M. J., Agouris, P., & Câmara, G. (2002). Using ontologies for integrated geographic information systems. Transactions in GIS,6(3), 231-257.
[37] Sboui, T., & Bédard, Y. (2012). Universal Geospatial Ontology for the Semantic Interoperability of Data: What are the Risks and How. Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data, 1.