Resultatet av arbetet hade kunnat se annorlunda ut om presentationsteknikernas styrkor och svagheter hade unders¨okts i en annan kontext. Exempelvis kan de uppgifter som forskarna vill kunna utf¨ora ha p˚averkat resultatet v¨aldigt mycket vilket inneb¨ar att det inom en annan kontext med andra behov hade kunnat se annorlunda ut.
Ett f¨orslag till fortsatt arbete ¨ar d¨armed att testa presentationsteknikerna i en annan kontext (exempelvis i en samh¨allsorienterad kontext f¨or att relatera ekonomi med sjukskrivningar) f¨or att antingen kunna verifiera, dementera eller komplettera de styrkor och svagheter som det h¨ar examensarbetet har mynnat ut i.
Ytterligare f¨orslag p˚a fortsatt arbete i den h¨ar kontexten (utveckling av ett visualiseringsverktyg f¨or forskningsprojektet) kan vara att unders¨oka styrkor och svagheter mer ing˚aende med hj¨alp av verklig data och med en realistisk storleksm¨angd hos datan. Hade en k¨annedom om “semantic substrates” (som en mer “vidareutvecklad”
spaltgraf) existerat innan spaltgrafen valts f¨or det h¨ar examensarbetet hade den tekniken valts att anv¨andas och j¨amf¨orts mot den traditionella grafen ist¨allet f¨or spaltgrafen.
D¨armed kan ett fortsatt arbete ist¨allet fokusera mer p˚a “semantic subtrates” ist¨allet f¨or spaltgrafen d˚a den troligen kan medf¨ora mer till de behov forskarna har ¨an spaltgrafen som inte ens f¨oredrogs inom en enda uppgift av de som prototyper designades till.
Det finns olika fortsatta arbeten att utf¨ora men oavsett hur de kan se ut s˚a har det h¨ar examensarbetet ¨and˚a ett par bidrag: dels en k¨annedom ¨over styrkor och svagheter hos traditionella grafer och spaltgrafer vilket kanske kan anv¨andas inom andra designarbeten, kompletterande resultat till den studie Quinlan och Wilton (1998) utf¨ort, samt prototyper och designid´eer till det visualiseringsverktyg forskarna ¨ar i behov av.
Bartram, L. R. (2001) Enhancing Information Visualization with Motion. Fil.dr.
avhandling, School of Computing Science, Simon Fraser University, Kanada.
Benyon, D., Turner, P. & Turner, S. (2005) Designing interactive systems: People, activities, contexts, technologies. Harlow, England: Addison-Wesley
Bourne, P. E., Buzko, O. V., Gramada, A., Moreland, J. L. & Zhang, Q. (2005) The Molecular Biology Toolkit (MBT): a modular platform for developing molecular visualization applications. BMC Bioinformatics, 6, 21.
Card, S. K. (2008) Information Visualization. I: A. Sears & J. A. Jacko (red:er), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications (s. 509-543). New York: Lawrence Erlbaum Associates.
Card, S. K. & Mackinlay, J. D. (2000) The Structure of the Information Visualization Design Space. Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis ’97), Phoenix, Arizona 20-21 Oktober 1997, 92-99.
Card, S. K., Mackinlay, J. D. & Shneiderman, B. (1999) Information visualization:
Using vision to think. San Francisco: Morgan Kaufmann Publishers.
Carr, K. (2008) Techniques for Making Molehills out of Unstructured Data Mountains.
Information Management Journal, 42(5), 43-48.
Chen, C. (2005) Top 10 Unsolved Information Visualization Problems. IEEE Computer Graphics & Applications, 25(4), 12-17.
Cooper, A., Reimann, R. & Cronin, D. (2007) About Face 3: The Essentials of Interaction Design. Indianapolis: John Wiley & Sons.
Costabile, M. F. & Semeraro, G. (1999) Information Visualization in the Interaction with IDL. D-lib Magazine, 1999, 5(1), 73-80.
Dezulian, T., Schaefer, M., Wiese, R., Weigel, D. & Huson, D. H. (2006) CrossLink:
visualization and exploration of sequence relationsships between (micro) RNAs.
Nucleic Acids Research, 34, W400-W404.
Dicks, J. (2000) Graphical tools for comparative genome analysis. Yeast, 17, 6-15.
Fabrikant, S. I. & Buttenfield, B. P. (2001) Formalizing Semantic Spaces For Information Access. Annals of the Association of American Geographers, 91, 263-281.
Friedenberg, J. & Silverman, G. (2006) Cognitive Science, An introduction to the Study of Mind. London: SAGE Publications.
Ghoniem, M., Fekete, J. & Castagliola, P. (2004) A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations. IEEE Symposium on Information Visualization 2004, Austin, Texas, USA 10-12 Oktober 2004, 17-24.
Heneghan, H. M., Miller, N., Lowery, A. J., Sweeney, K. J. & Kerin, M. J. (2010) MicroRNAs as Novel Biomarkers for Breast Cancer. Journal of Oncology, 2010, 7 sidor.
Herman, I., Melanc¸on, G. & Marshall, S. (2000) Graph Visualization and Navigation in Information Visualization: a Survey. IEEE Transactions on Visualization and Computer Graphics, 6, 24-43.
Jensen, L. J., Kuhn, M., Stark, M., Chaffron, S., Creevey, C., Muller, J., Doerks, T., Julien, P., Roth, A., Simonvic, M., Bork, P. & von Mering, C. (2009) STRING 8 – a global view on proteins and their functional interactions in 630 organisms.
European Molecular Biology Laboratory, Heidelberg, Tyskland.
Keim, D., Kolhammer, J., May, T. & Thomas, J. (2006) Event Summary of the Workshop on Visual Analytics. Computers and graphics, 30(2), 284-286.
Krawetz, S. A. & Womble, D. D. (2003) Introduction to Bioinformatics: A Theoretical and Practical Approach. Totowa: Humana Press.
Krueger, R. A. (2000) Focus Groups: A Practical Guide for Applied Research (3:e upplagad). Newbury Park: Sage Publishing.
Krueger, R. A. & Casey, M. A. (2000) Focus Groups Interviews: A Practical Guide for Applied Research(3:e upplagan). Sage, Kalifornien: Thousand Oaks.
Larkin, J. H. & Simon, H. A. (1987) Why a Diagram is (Sometimes) Worth Tne Thousand Words. Cognitive Science, 11, 65-100.
Lieberman, M. D., Taheri, S., Guo, H., Mir-Rashed, F., Yahav, I., Aris, A. &
Shneiderman, B. (2009) Visual Exploration Across Biomedical Databases.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 99, 1-15.
Llorach-Asunci´on, R., Jauregui, O., Urpi-Sarda, M. & Andres-Lacueva, C. (2010) Methodological aspects for metabolome visualization and characterization: A metabolomic evaluation of the 24 h evolution of human urine after cocoa powder consumption. Journal of Pharmaceutical and Biomedical Analysis, 51(2), 373-381.
Luscombe, N. M., Greenbaum, D. & Gerstein, M. (2001) What is bioinformatics? An introduction and overview. Yearbook of Medical Informatics, 2001, 83-100.
MacEachren, A. M. (1995) How maps work. New York: The Guilford Press.
Mazza, R. (2006) Evaluating Information Visualization Applications with Focus Groups: the CourseVis experience. Proceedings of the 2006 AVI workshop on BEyond time and errors, New York, NY, USA, 1-6.
McLafferty, I. (2004) Focus group interviews as a data collecting strategy. Journal of Advanced Nursing, 48(2), 187-194.
London: Sage publications Inc.
Pavlopoulos, G. A., Wegener, A-L. & Schneider, R. (2008) A survey of visualization tools for biological network analysis. BioData Mining, 1, 12.
Pearson, H. (2006) Genetics: what is a gene? Nature. 441(7092), 398–401.
Pirolli, P., Card, S. K. & Van Der Wege, M. M. (2001) Visual Information Foraging in a Focus + Context Visualization. Proceedings of ACM Conference on Human Factors and Computing Systems (CHI 2001), Seattle, Washington 31 mars - 5 april 2001, 506-513.
Quinlan. P. T. & Wilton, R. N. (1998) Grouping by proximity or similarity? Competion between the Gestalt principles in vision. Perception. 27, 417-430.
Raichle, M. E. (2010) The Brain’s Dark Energy. Scientific American, 302, 44-49.
Rester, M., Pohl, M., Wiltner, S., Hinum, K., Miksch, S., Popow, C. & Ohmann, S.
(2007) Mixing Evaluation Methods for Assessing the Utility of an Interactive InfoVIs Technique. Proceedings of HCI International - 12th International Conference on Human-Computer Interaction (HCII 2007), 604-613, LNCS, Springer, 2007.
Rock, I. & Palmer, S. (1990) The legacy of Gestalt Psychology. Scientific American, 263(6), 48-61.
Russel, A. D., Chiu, C. & Korde, T. (2009) Visual representation of construction management data. Automation in Construction, 18, 1045-1062.
Shneiderman, B. (1996) The eyes have it: A task by data type taxonomy for information visualization. Proceedings of 1996 IEEE Symoposium on Visual Languages, Boulder, Colorado September 1996, 336-343.
Simon, H. (1996) The Sciences of the Artificial (3:e upplagan). Cambridge, Massachusetts: MIT Press.
Smith, E. & Kosslyn, S. (2007) Cognitive Psychology: Mind and Brain. New Jersey:
Pearson Education.
Spence, R. (2007) Information Visualization: Design for Interaction (2:a upplagan).
London: Prentice-Hall.
Suderman, M. & Hallett, M. (2007) Tools for visually exploring biological networks.
Bioinformatics, 23, 2651-2659.
Tory, M. & Staub-French, S. (2008) Qualitative Analysis of Visualization: A Building Design Field Study. Proceedings of the 2008 Conference on Beyond Time and Errors: Novel Evaluation Methods For information Visualization, Florens, Italien 5 April 2008, 1-8.
Ware, C. (2004) Information Visualization: Perception for Design (2:a upplagan).
Amsterdam: Morgan Kaufman.
Ware, C., Purchase, H., Colpys, L. & McGIll, M. (2002) Cognitive measurements of graph aesthetics. Information Visualization, 1, 103-110.
Xi, J., Edwards, J. R. & Ju, J. (2007) Investigation of miRNA Biology by Bioinformatic Tools and Impact of miRNAs in Colorectar Cancer–Regulatory Relationship of c-Myc and p53 with miRNAs. Cancer Informatics, 3, 245-253.
Zhu, Y. Y., Zeng, H. Q., Dong, C. X., Yin, X. M., Shen, Q. R. & Yang, Z. M. (2010) microRNA expression profiles associated with phosphorus deficiency in white lupin (Lupinus albus L.). Plant Science, 178(1), 23-29.
Det h¨ar ¨ar det diagram som anv¨andes under fokusgrupptillf¨allet f¨or det f¨orsta delm˚alet.
Strukturen p˚a databasen har ¨andrats sen dess vilket framkom under en ˚atertr¨aff efter analysarbetet i delm˚al 2.
Den slutgiltliga modellen efter delm˚al 2. P˚a grund av modellens storlek har endast en ¨overgripande bild inkluderats som bilaga. De rosa noderna representerar data hos m¨anniskor och de ljusbl˚a data hos r˚attor. De ovalformade noderna med unika f¨arger representerar uppgifter och pekar p˚a den data de ber¨or genom pilar i samma f¨arg. Den lila och svarta noden ber¨orde all data och inga pilar har ritats ut f¨or att enklare kunna urskilja alla andra pilar och kopplingar.