|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||A Social Science Data Fusion Tool and the Data Management through e-Social Science (DAMES) Infrastructure|
Blum, Jesse Michael
Turner, Kenneth J
Tan, Koon Leai Larry
|Citation:||Warner G, Blum JM, Jones S, Lambert P, Turner KJ, Tan KLL, Dawson A & Bell D (2010) A Social Science Data Fusion Tool and the Data Management through e-Social Science (DAMES) Infrastructure, Philosophical Transactions of the Royal Society. A: Mathematical and Physical Sciences, 368 (1925), pp. 3859-3873.|
|Abstract:||The last two decades have seen substantially increased potential for quantitative social science research. This has been made possible by the significant expansion of publicly available social science datasets, the development of new analysis methodologies such as microsimulation, and increase in computing power. These rich resources do, however, bring with them substantial challenges associated with organising and using data. These processes are often referred to as 'data management'. The DAMES project (Data Management through e-Social Science) is working to support activities of data management for social science research. This paper describes the DAMES infrastructure, focusing on the data fusion process that is central to the project approach.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.|
|A Social Science Data Fusion Tool.pdf||307.08 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependant on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.