Abstract
Presently, organizations make significant investments in biomedical data and information sources. These investments are expected to produce reduction of errors and quality improvements in data management and analysis. To sustain achievements in quality and efficiency, healthcare organizations need to be vigilant in monitoring the state of competitiveness of their platforms. In the technology post-adoption period, healthcare organizations use multiple data sources to search for technology-related information to maintain technology parity with, or dominance over their competitors. Firstly this study seeks to answer the following research question: what approaches do healthcare organizations employ with regard to managing diverse sources of data and information in order to sustain their technology competitiveness. Then as an initial step in this direction, in this paper we discuss the conceptual foundation for the phenomenon of data and information sources management capability for the proteomics domain. This is done by discussing the case of Protein Data Source Integration by Protein Ontology.
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References
Sidhu, A.S., Dillon, T.S., et al.: Ontology for Data Integration in Protein Informatics. In: Ma, Z., Chen, J.Y. (eds.) Database Modeling in Biology: Practices and Challenges. Springer Science, Inc., New York (2006)
Sidhu, A.S., Dillon, T.S., et al.: Protein Ontology Project: 2006 Updates (Invited Paper). In: Zanasi, A., Brebbia, C.A., Ebecken, N.F.F. (eds.) Data Mining and Information Engineering 2006, Prague, Czech Republic. WIT Press, Southampton (2006)
Sidhu, A.S., Dillon, T.S., et al.: Ontological Foundation for Protein Data Models. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM-WS 2005. LNCS, vol. 3762, pp. 916–925. Springer, Heidelberg (2005)
Sidhu, A.S., Dillon, T.S., et al.: Protein Ontology: Vocabulary for Protein Data. In: 3rd IEEE International Conference on Information Technology and Applications (IEEE ICITA 2005), Sydney, vol. 1, pp. 465–469. IEEE CS Press, Los Alamitos (2005)
Barney, J.B.: Organization Resources and Sustained Competitive Advantage. Journal of Management 17(1), 99–120 (1991)
Peteraf, M.A., Barney, J.B.: Unraveling the Resource-Based Tangle. Managerial and Decision Economics 24, 309–323 (2003)
Teece, D.J., Pisano, G., Shuen, A.: Dynamic Capabilities and Strategic Management. Strategic Management Journal 18(7), 509–533 (1997)
Consortium, G., Lewis, S.E.: Gene Ontology: looking backwards and forwards. Genome Biology 6(1), 103.1-103.4 (2004)
Tan, H., Dillon, T.S., et al.: IMB3-Miner: Mining Induced/Embedded Subtrees by Constraining the Level of Embedding. In: Ng, W.-K., Kitsuregawa, M., Li, J., Chang, K. (eds.) PAKDD 2006. LNCS, vol. 3918, pp. 450–461. Springer, Heidelberg (2006)
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Sidhu, A.S., Dillon, T.S., Chang, E. (2006). Protein Data Sources Management Using Semantics. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_57
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DOI: https://doi.org/10.1007/11836025_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38329-1
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