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Paper: Enabling Meaningful Affiliation Searches in the ADS
Volume: 492, LISA VII: Open Science: At the Frontiers of Librarianship
Page: 208
Authors: Grant, C. S.; Thompson, D. M.; Chyla, R.; Holachek, A.; Accomazzi, A.; Henneken, E. A.; Kurtz, M. J.; Luker, J.; Murray, S. S.
Abstract: For many years, users have wanted to search affiliations in the ADS in order to build institutional databases and to help with author disambiguation. Although we currently provide this capability upon request, we have yet to incorporate it as part of the operational Abstract Service. This is because it cannot be used reliably, primarily because of the lack of uniform representation of the affiliation data. In an effort to make affiliation searches more meaningful, we have designed a two-tiered hierarchy of standard institutional names based on Ringgold identifiers, with the expectation that this will enable us to implement a search by institution, which will work for the vast majority of institutions. It is our intention to provide the capability of searching the ADS both by standard affiliation name and original affiliation string, as well as to enable autosuggest of affiliations as a means of helping to disambiguate author identification. Some institutions are likely to require manual work, and we encourage interested librarians to assist us in standardizing the representation of their institutions in the affiliation field.
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