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Approving Updates in Collaborative Databases

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dc.contributor.author Mershad, Khaleel
dc.contributor.author Malluhi, Qutaibah M.
dc.contributor.author Ouzzani, Mourad
dc.contributor.author Tang, Mingjie
dc.contributor.author Aref, Walid G.
dc.date.accessioned 2024-03-07T12:12:36Z
dc.date.available 2024-03-07T12:12:36Z
dc.date.copyright 2015 en_US
dc.date.issued 2015-04-23
dc.identifier.isbn 9781479982189 en_US
dc.identifier.uri http://hdl.handle.net/10725/15389
dc.description.abstract Data curation activities in collaborative databases mandate that collaborators interact until they converge and agree on the content of their data. Typically, updates by a member of the collaboration are made visible to all collaborators for comments but at the same time are pending the approval or rejection of the data custodian, e.g., the principal scientist or investigator (PI). In current database technologies, approval and authorization of updates is based solely on the identity of the user, e.g., via the SQL GRANT and REVOKE commands. However, in collaborative environments, the updated data is open for collaborators for discussion and further editing and is finally approved or rejected by the PI based on the content of the data and not on the identity of the updater. In this paper, we introduce a cloud-based collaborative database system that promotes and enables collaboration and data curation scenarios. We realize content-based update approval and history tracking of updates inside HBase, a distributed and scalable open-source cluster-based database. The design and implementation as well as a detailed performance study of several approaches for update approval are presented and contrasted in the paper. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Cloud computing--Congresses en_US
dc.subject Software engineering--Congresses en_US
dc.title Approving Updates in Collaborative Databases en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAS en_US
dc.author.idnumber 202203388 en_US
dc.author.department Computer Science And Mathematics en_US
dc.publication.place Los Alamitos, Calif. en_US
dc.keywords Cluster-based database en_US
dc.keywords Scientific database en_US
dc.keywords Data curation en_US
dc.keywords Update authorization and approval en_US
dc.keywords Collaborative databases en_US
dc.keywords eScience en_US
dc.description.bibliographiccitations Includes bibliographical references. en_US
dc.identifier.doi https://doi.org/10.1109/IC2E.2015.31 en_US
dc.identifier.ctation Mershad, K., Malluhi, Q. M., Ouzzani, M., Tang, M., & Aref, W. G. (2015, March). Approving updates in collaborative databases. In 2015 IEEE International Conference on Cloud Engineering (pp. 42-47). IEEE. en_US
dc.author.email khaleel.mershad@lau.edu.lb en_US
dc.conference.date 09-13 March 2015 en_US
dc.conference.pages 42-47 en_US
dc.conference.place Tempe, AZ, USA en_US
dc.conference.title 2015 IEEE International Conference on Cloud Engineering en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://ieeexplore.ieee.org/abstract/document/7092897 en_US
dc.orcid.id https://orcid.org/0000-0003-3786-5529 en_US
dc.publication.date 2015 en_US
dc.author.affiliation Lebanese American University en_US


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