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- February 17, 2011 in Bibliographic, data-collection, openbiblio-challenge, openservice, social

AuthorClaim is a scholarly service which provides for professionals and students involved in the academic community the ability to both claim authorship over published works, as well as (and most significantly) the ability to obtain statistics as to your rankings with your coauthors, and with other authors within the network. Open access repositories are used to create the bibliographic records for each document, similar in structure to services such as RePEc ( and arXiv ( . This service ultimately aims to provide for both the registered and the unregistered user the ability to visualize one's unique position and relationship with other individuals throughout the network. More information can be found at the following page: Details of our integration of the IUCR collection: Information about our current collections can be found here: And registration (our service is, of course, entirely free of charge), can be found on the index page:


- February 17, 2011 in Bibliographic, data-collection, openbiblio-challenge, openservice, social

Objective The overall objective is to invert bibliographic data from its traditional format where each record describes a document. We want to create to a CV-style format that has authors as the heading and the documents written by the author underneath it. This allows for a navigation of the bibliographical space by author. It also prepare for performance evaluation of authors. Sources There are two sources. One is a set of simple document data from the OKFN sponsored 3lib project. 3lib. These data are de facto open because they contain only factual descriptions of documents, titles, author names, identifiers. The document data describe scientific articles and preprint. The other source is a set of author profiles that are openly available from AuthorClaim. Method Authors are referenced in bibliographic information by names. Names are ambiguous. There are many ways to write the name of a single person. We call these "name expressions". Several persons may share valid name expressions. Since names don't identify authors, AuthorProfile can not do a reliable job. The AuthorClaim project allows authors to claim documents. Only a very small part of documents are subject to author claims at this time. These are the people for authoritative publication lists are available. For the others we have to use name expressions. We look at bibliographic data records containing such author name expressions, and create files, one for each author name expression. We call this process "auversion". The system will have list of author pages as top-entry navigation. Author pages can only be constructed for AuthorClaim registrants. However most AuthorClaim registrants have coauthors, and most of these are not yet registered. These non-registered co-authors then provide entry points to author name expressions, etc. Thus a substantial part of "auverted" bibliographic data can be linked from the authors. System In addition to navigating a set of authors (not implemented yet), we plan two navigational features. First, we want to link from an "auverted" author name page to the closest registered. By "closest" we mean by shortest intermediate author name expression path through co-authorship. This is partly implemented on our test set system. We call this "vertical integration". Second, we want to provide links between related author name expression. Assume for example, we have the author name J. Griffin, but we also have James Griffin, we want to create a link from J. Griffin author name expression to James Griffin author name expression. We want to do a similar thing for diacritics, linking from expressions with diacritics to those without and back. We links between author name expressions that may refer to the same person as "horizontal integration". Current state A debugging/testing demonstrator of the system is available here. Eligibility The 3lib dataset includes the IUCR data from the JISC funded open bibliography project. However since the data is very small, it is not likely to be seen in the actual demonstrator that we have running.