Abstract
This chapter reports on practical lessons learned during the development of innovative collaboration and decision making support services in the context of the Dicode project. These lessons concern: (i) the methodology followed and process carried out for the development of the abovementioned Dicode services (ii) the facilitation and enhancement of collaboration and decision making in data intensive and/or cognitively complex settings, and (iii) related technological and integration issues. Detailed evaluation reports, interviews and discussions within the development teams, as well as analysis of the use of the developed services by end-users through the associated log files, provided valuable feedback for the formulation and compilation of these lessons. By sharing insights gained in the context of the Dicode project, this chapter aims to help people engaged in developing similar services.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Scheuer, O., Loll, F., Pinkwart, N., McLaren, M.B.: Computer-supported argumentation: A review of the state of the art. Int. J. Comput.-Support. Collab. Learn. 5(1), 43–102 (2010)
Marshall, C.C., Shipman, F.M. III: Spatial hypertext and the practice of information triage. Proceedings of the 8th ACM Conference on Hypertext, pp. 124–133, Southampton, 06–11 April 1997)
Shipman, F.M., McCall, R.: Supporting knowledge-base evolution with incremental formalization. Proceedings of CHI ’94 Conference, pp. 285–291 (1994)
Buytaert, D.: From infinite extensibility to infinite interoperability [Online]. http://buytaert.net/from-infinite-extensibility-to-infinite-interoperability (2008). Accessed 22 July 2013
Fisher, D., DeLine, R., Czerwinski, M., Drucker, S.: Interactions with big data analytics. Interactions 19(3), 50–59 (2012)
Giurata, P.: User experience design for data discovery and visualization applications—catalyst resources. http://catalystresources.com/saas-blog/data_visualization_user_interface_design_in_the_age_of_big_data/ (2012)
Hansen, C.D., Johnson, C.R., Pascucci, V., Silva, C.T.: Visualization for data-intensive science. In: Tansley, S., Hey, T., Tolle, K. (eds.) The Fourth Paradigm: Data-Intensive Science. Microsoft Research, pp. 153–164. (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Christodoulou, S., Tzagarakis, M., Karacapilidis, N., Yang-Turner, F., Lau, L., Dimitrova, V. (2014). Collaboration and Decision Making in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Project. In: Karacapilidis, N. (eds) Mastering Data-Intensive Collaboration and Decision Making. Studies in Big Data, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-02612-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-02612-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02611-4
Online ISBN: 978-3-319-02612-1
eBook Packages: EngineeringEngineering (R0)