Abstract
This paper presents the design of a new middleware which provides support for trust and accountability in distributed data sharing communities. One application is in the context of scientific collaborations. Multiple researchers share individually collected data, who in turn create new data sets by performing transformations on existing shared data sets. In data sharing communities building trust for the data obtained from others is crucial. However, the field of data provenance does not consider malicious or untrustworthy users. By adding accountability to the provenance of each data set, this middlware ensures data integrity insofar as any errors can be identified and corrected. The user is further protected from faulty data by a trust view created from past experiences and second-hand recommendations. A trust view is based on real world social interactions and reflects each user’s own experiences within the community. By identifying the providers of faulty data and removing them from a trust view, the integrity of all data is enhanced
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Abdul-Rahman, A., Hailes, S.: Supporting trust in virtual communities. In: Proceedings of the 33rd Hawaii International Conference on Systems Sciences (2000)
Annis, J., Zhao, Y., Vockler, J., Wilde, M., Kent, S., Foster, I.: Applying chimera virtual data concepts to cluster finding in the sloan sky survey (2002)
Beasley, M., Datta, S., Kogelnik, H., Kroemer, H., Monroe, D.: Report of the investigation committee on the possibility of scientific misconduct in the work of Hendrik Schön and co-authors. Technical report (2002)
Bose, R.: A conceptual framework for composing and managing scientific data lineage. In: 4th International Conference on Scientific and Statistical Database Management, pp. 15–19 (2002)
Brenner, S.E.: Errors in genome annotation. Trends in Genetics 15, 132–133 (1999)
Buneman, P., Khanna, S., Tajima, K.: Data archiving. In: Workshop on Data Derivation and Provenance (2002)
Buneman, P., Khanna, S., Tan, W.C.: Why and where: A characterization of data provenance. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, p. 316. Springer, Heidelberg (2000)
Cavanaugh, R., Graham, G.E.: Apples and apple-shaped oranges: Equivalence of data returned on subsequent queries with provenance information. In: Workshop on Data Derivation and Provenance (2002)
Devos, D., Valencia, A.: Intrinsic errors in genome annotation. Trends in Genetics 17, 429–431 (2001)
Foster, I., Vockler, J., Wilde, M., Zhao, Y.: Chimera: A virtual data system for representing, querying, and automating data derivation. In: Proceedings of the 14th International Conference on Scientific and Statistical Database Management (2002)
Foster, I., Vockler, J., Wilde, M., Zhao, Y.: The virtual data grid: A new model and architecture for data-intensive collaboration. In: Proceedings of the 2003 CIDR Conference (2003)
Frew, J., Bose, R.: Earth system science workbench: A data management infrastructure for earth science products. In: SSDBM 2001 Thirteenth International Conference on Scientific and Statistical Database Management, pp. 180–189 (2001)
Galperin, M., Koonin, E.: Sources of systematic error in functional annotation of genomes: domain rearrangement, non-orthologous gene displacement and operon disruption. Silico Biol. 1, 55–67 (1998)
Gertz, M.: Data annotation in collaborative research environments. In: Workshop on Data Derivation and Provenance (2002)
Gilks, W.R., Audit, B., Angelis, D.D., Tsoka, S., Ouzounis, C.A.: Modeling the percolation of annotation errors in a database of protein sequences. Bioinformatics 18, 1641–1649 (2002)
Greenwood, M., Goble, C., Stevens, R., Zhao, J., Addis, M., Marvin, D., Moreau, L., Oinn, T.: Provenance of e-science experiments - experience from bioinformatics. In: Proceedings UK e-Science All Hands Meeting 2003 Editors (2003)
Howe, B., Maier, D.: Modeling data product generation. In: Workshop on Data Derivation and Provenance (2002)
Jøsang, A.J.: The right type of trust for distributed systems. In: Proceedings of the 1996 New Security Paradigms Workshop (1996)
Jøsang, A.J., Hird, S., Faccer, E.: Simulating the effect of reputation systems on emarkets. In: Nixon, P., Terzis, S. (eds.) iTrust 2003. LNCS, vol. 2692, pp. 179–194. Springer, Heidelberg (2003)
Kaestle, G., Shek, E.C., Dao, S.K.: Sharing experiences from scientific experiments. In: Proceedings of the 11th International Conference on Scientific and Statistical Database Management, SSDBM (1999)
Karp, P.D.: What we do not know about sequence analysis and sequence databases. Bioinformatics 14, 753–754 (1998)
Li, N., Winsborough, W.H., Mitchell, J.C.: Distributed credential chain discovery in trust management: extended abstract. In: ACM Conference on Computer and Communications Security, pp. 156–165 (2001)
Mann, B.: Some data derivation and provenance issues in astronomy. In: Workshop on Data Derivation and Provenance (2002)
Patton, M.A., Jøsang, A.: Technologies for trust in electronic commerce. Electronic Commerce Research Journal 4 (2004)
Stevens, R.D., Robinson, A.J., Goble, C.A.: myGrid: Personalized bioinformatics on the information grid. Bioinformatics 19, i302–i304 (2003)
Zhong, Y., Lu, Y., Bhargava, B.: Dynamic trust production based on interaction sequence. Technical Report CSD TR 03-006, Department of Computer Sciences, Purdue University (2003)
Zhao, J., Goble, C., Greenwood, M., Wroe, C., Stevens, R.: Annotating, linking and browsing provenance logs for e-science. In: Proceedings of the Workshop on Semantic Web Technologies for Searching and Retrieving Scientific Data (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ruth, P., Xu, D., Bhargava, B., Regnier, F. (2004). E-notebook Middleware for Accountability and Reputation Based Trust in Distributed Data Sharing Communities. In: Jensen, C., Poslad, S., Dimitrakos, T. (eds) Trust Management. iTrust 2004. Lecture Notes in Computer Science, vol 2995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24747-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-24747-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21312-3
Online ISBN: 978-3-540-24747-0
eBook Packages: Springer Book Archive