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Design Principles for Research Data Export: Lessons Learned in e-Health Design Research

  • Conference paper
Design Science at the Intersection of Physical and Virtual Design (DESRIST 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7939))

Abstract

Information technology (IT) allows for large-scale data collection and data analysis, e.g. through logs of user behavior and online surveys. While the issue of structured access to data is extremely important, previous research has not sufficiently emphasized design of data export for research purposes. If researchers are to make their data accessible, they must be empowered to export data in a flexible manner. In this paper, we employ action design research to develop design principles for data export in an e-Health context. Design is informed by a sociomaterial world-view, object-oriented patterns and principles, and usability goals. Through three build-intervene-evaluate cycles in an empirical setting where randomized controlled trials are designed, we propose nine design principles and a conceptual architecture for data export. Implications for research and practice are discussed.

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References

  1. Sjöström, J., Ågerfalk, P.J., Lochan, A.R.: Mutability Matters: Baselining the Consequences of Design. In: Procedings of MCIS 2011, Limassol, Cyprus (2011)

    Google Scholar 

  2. Lumsden, J., Morgan, W.: Online-Questionnaire Design. Establishing Guidelines and Evaluating Existing Support (2005)

    Google Scholar 

  3. Peters, G.Y., Abraham, C., Crutzen, R.: Full disclosure: doing behavioural science necessitates sharing. The European Health Psychologist 14, 77–84 (2012)

    Google Scholar 

  4. Nature: Beta blockers? Nature 455, 708 (2008)

    Google Scholar 

  5. Murray-Rust, P.: Open data in science. Serials Review 34, 52–64 (2008)

    Article  Google Scholar 

  6. Aspin, A.: Exporting Data from SQL server. SQL Server 2012 Data Integration Recipes: Solutions for Integration Services and Other ETL Tools, pp. 343–424. Apress, New York (2012)

    Book  Google Scholar 

  7. Ciborra, C.U.: Groupware and Teamwork. Wiley & Sons, New York (1996)

    Google Scholar 

  8. Trigg, R.H., Bödker, S.: From implementation to design: tailoring and the emergence of systematization in CSCW. In: Procedings of CSCW 1994, pp. 45–54 (1994)

    Google Scholar 

  9. Majchrzak, A., Rice, R.E., Malhotra, A., King, N., Ba, S.: Technology adaption: the case of a computer-supported inter-organizational virtual team. MIS Quarterly 24, 569–600 (2000)

    Article  Google Scholar 

  10. DeSanctis, G., Poole, M.S.: Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science 5, 121–147 (1994)

    Article  Google Scholar 

  11. Orlikowski, W.J.: Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science 11, 404–428 (2000)

    Article  Google Scholar 

  12. McConnell, S.: Code complete. O’Reilly, Inc. (2009)

    Google Scholar 

  13. Gregor, S., Jonas, D.: The Anatomy of a Design Theory. Journal of the Association for Information Systems 8, 312–335 (2007)

    Google Scholar 

  14. Sein, M.K., Henfridsson, O., Purao, S., Rossi, M., Lindgren, R.: Action Design Research. Journal of the Association for Information Systems 35, 37–56 (2011)

    Google Scholar 

  15. Orlikowski, W.J.: The sociomateriality of organisational life: considering technology in management research. Cambridge Journal of Economics 34, 125–141 (2010)

    Article  Google Scholar 

  16. Leonardi, P.M.: Materiality, Sociomateriality, and Socio-Technical Systems: What Do These Terms Mean? How Are They Related? Do We Need Them? In: Leonardi, P.M., Nardi, B.A., Kallinikos, J. (eds.) Materiality and Organizing: Social Interaction in a Technological World, pp. 25–48. Oxford University Press, Oxford (2012)

    Chapter  Google Scholar 

  17. Gill, T.G., Hevner, A.R.: A fitness-utility model for design science research. In: Jain, H., Sinha, A.P., Vitharana, P. (eds.) DESRIST 2011. LNCS, vol. 6629, pp. 237–252. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  18. Conboy, K.: Agility from first principles: Reconstructing the concept of agility in information systems development. Information Systems Research 20, 329–354 (2009)

    Article  Google Scholar 

  19. Orlikowski, W.J., Iacono, C.S.: Research commentary: Desperately seeking “IT” in IT research - A call to theorizing the IT artifact. Information Systems Research 12, 121–134 (2001)

    Article  Google Scholar 

  20. Orlikowski, W.J.: The Duality of Technology - Rethinking the Concept of Technology in Organizations. Organization Science 3, 398–427 (1992)

    Article  Google Scholar 

  21. Orlikowski, W.J., Scott, S.V.: 10 Sociomateriality: Challenging the Separation of Technology, Work and Organization. The Academy of Management Annals 2, 433–474 (2008)

    Article  Google Scholar 

  22. Walls, J., Widmeyer, G., El Sawy, O.: Assessing information system design theory in perspective: How useful was our 1992 initial rendition. Journal of Information Technology Theory and Application (JITTA) 6, 43–58 (2004)

    Google Scholar 

  23. Parnas, D.: On the criteria to be used in decomposing systems into modules. Communications of the ACM 15, 1053–1058 (1972)

    Article  Google Scholar 

  24. Liskov, B., Zilles, S.: Programming with Abstract Data Types. In: Proceedings of ACM SIGPLAN Symposium on Very High Level Languages, Santa Monica, CA, pp. 50–59 (1974)

    Google Scholar 

  25. Rentsch, T.: Object Oriented Programming. ACM SIGPLAN Notices 17, 51–57 (1982)

    Article  Google Scholar 

  26. Dijkstra, E.W.: On the Role of Scientific Thought. In: Dijkstra, E.W. (ed.) Selected Writings on Computing: A Personal Perspective. Springer (1982)

    Google Scholar 

  27. Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley (1994)

    Google Scholar 

  28. Evans, E.: Domain-Driven Design, Tackling Complexity in the Heart of Software. Addison-Wesley (2003)

    Google Scholar 

  29. Fowler, M., Rice, D., Foemmel, M., Hieatt, E., Mee, R., Stafford, R.: Patterns of Enterprise Application Architecture. Addison-Wesley Longman Publishing Co., Inc., Boston (2002)

    Google Scholar 

  30. Portier, B., Budinsky, F.: Introduction to Service Data Objects, http://www.ibm.com/developerworks/java/library/j-sdo/

  31. Preece, J., Rogers, Y., Sharp, H.: Interaction design: beyond human-computer interaction. John Wiley & Sons, Inc., New York (2002)

    Google Scholar 

  32. Bevan, N., Kirakowski, J., Maissel, J.: What is usability. In: Human Aspects in Computing: Design and Use of Interactive Systems with Terminals, pp. 651–655. Elsevier (1991)

    Google Scholar 

  33. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: The KDD process for extracting useful knowledge from volumes of data. Communications of the ACM 39, 27–34 (1996)

    Article  Google Scholar 

  34. Bennett, T.A., Bayrak, C.: Bridging the data integration gap: from theory to implementation. ACM SIGSOFT Software Engineering Notes 36 (2011)

    Google Scholar 

  35. Morris, H., Liao, H., Padmanabhan, S., Srinivasan, S., Lau, P., Shan, J., Wisnesky, R.: Bringing Business Objects into Extract-Transform-Load (ETL) Technology. In: IEEE International Conference on e-Business Engineering (ICEBE 2008), pp. 709–714 (2008)

    Google Scholar 

  36. Bordbar, B., Draheim, D., Horn, M., Schulz, I., Weber, G.: Integrated model-based software development, data access, and data migration. In: Briand, L.C., Williams, C. (eds.) MoDELS 2005. LNCS, vol. 3713, pp. 382–396. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  37. Brandt, C.A., Morse, R., Matthews, K., Sun, K., Deshpande, A.M., Gadagkar, R., Cohen, D.B., Miller, P.L., Nadkarni, P.M.: Metadata-driven creation of data marts from an EAV-modeled clinical research database. International Journal of Medical Informatics 65, 225–241 (2002)

    Article  Google Scholar 

  38. Venable, J., Pries-Heje, J., Baskerville, R.: A Comprehensive Framework for Evaluation in Design Science Research. In: Peffers, K., Rothenberger, M., Kuechler, B. (eds.) DESRIST 2012. LNCS, vol. 7286, pp. 423–438. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  39. Hevner, A.R., Ram, S., March, S.T., Park, J.: Design science in information systems research. MIS Quarterly 28, 75–105 (2004)

    Google Scholar 

  40. Lee, A.S., Baskerville, R.L.: Generalizing Generalizability in Information Systems Research. Information Systems Research 14, 221–243 (2003)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Uppsala University, Kyrkogårdsg 10, Box 513, 751 20, Uppsala, Sweden

    Mudassir Imran Mustafa & Jonas Sjöström

Authors
  1. Mudassir Imran Mustafa
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  2. Jonas Sjöström
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Editor information

Editors and Affiliations

  1. Institute of Information Systems, University of Liechtenstein, Fürst-Franz-Josef-Strasse 21, 9490, Vaduz, Liechtenstein

    Jan vom Brocke

  2. Department of Information and Service Economy, Aalto University, Chydenia (Runeberginkatu 22-24), P.O. Box 21220, 00076, Aalto, Finland

    Riitta Hekkala  & Matti Rossi  & 

  3. Department of Management Information Systems, Eller College of Management, University of Arizona, 430J McClelland Hall, 85721, Tucson, AZ, USA

    Sudha Ram

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Mustafa, M.I., Sjöström, J. (2013). Design Principles for Research Data Export: Lessons Learned in e-Health Design Research. In: vom Brocke, J., Hekkala, R., Ram, S., Rossi, M. (eds) Design Science at the Intersection of Physical and Virtual Design. DESRIST 2013. Lecture Notes in Computer Science, vol 7939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38827-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-38827-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38826-2

  • Online ISBN: 978-3-642-38827-9

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