Multidimensional visualisation of archival finding aids

Lead Research Organisation: University of Glasgow
Department Name: History

Abstract

As archives make increasing numbers of their finding aids available online the problem for users of how to navigate this information increases. As yet, there are no easy means to visualise this information or the connections within and between it. This project will test one possible solution to this problem by creating a multidimensional visualisation of existing archival finding aids. With manipulation of this virtual map it will be possible to show different dimensions within and between collections and repositories. These dimensions could show different types of connections, such as date, names or function.

Publications

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Anderson, I G. (2009) From ZigZag to BigBag: Seeing the Wood and the Trees in CEUR-WS, Proceedings of the 1st Workshop on New Forms of Xanalogical Storage and Function, held as part of the ACM Hypertext 2009

 
Description This project established that it was conceptually possible to map from Encoded Archival Descriptions (EAD) to a ZigZag(TM) XML structure and that a stylesheet could be developed that automated this process. However, it was not possible to establish that this transformation could be undertaken on all instances of EAD finding aids.
Exploitation Route Developing alternative representations through which end users understanding of archive data could be examined.
Sectors Digital/Communication/Information Technologies (including Software),Culture, Heritage, Museums and Collections

 
Title 2 datasets were envisaged, this is the ZigZag XML version of the NAHSTE finding aid 
Description  
Type Of Material Database/Collection of data 
Provided To Others? No  
 
Title Created a visualisation for converted data sets 
Description  
Type Of Material Database/Collection of data 
Provided To Others? No  
 
Title Two data sets were envisaged, this is the ZigZag XML version of the GASHE finding aid 
Description  
Type Of Material Database/Collection of data 
Provided To Others? No