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Massachusetts Institute of Technology

Fusion Tables : new ways to collaborate on structured data

Abstract

dc:description.abstract

Fusion Tables allows data collaborators to create, merge, navigate and set access control permissions on structured data. This thesis focuses on the collaboration tools that were added to Googles Fusion Tables. The collaboration tools provided additional functionality: first, the ability to view, sort and filter all the threaded discussions on the different granularities of the data set; second, the ability to take Snaps, dynamic state bookmarking that allows collaborators to save queries and visualizations and share them with other users. In addition, this thesis initiates a discussion about data collaboration on different platforms outside the Data Management System (DMS), and the implementation of the Fusion Table - Google Wave gadget that provides this functionality. To evaluate these added features, we conducted a user survey based on three sources: Google Analytics, field study of experienced Fusion Tables users, and a user study to evaluate the UI and the collaboration tools. The results showed that approximately 40% of the visitors to the site use the collaboration features . Based on the user study, it appears that UI improvements can increase exposure to these features, and some additional functionality can be added to improve the collaboration features and provide a better collaboration system.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kidon, Jonathan Goldberg
Advisor dc:contributor.advisor
  • Alon Halevy and David Karger.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/60999
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/60999

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Kidon, Jonathan Goldberg. Fusion Tables : new ways to collaborate on structured data. Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60999