Search (24 results, page 2 of 2)

Teal, W.: Alma enumerator : automating repetitive cataloging tasks with Python (2018) 0.00
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Abstract

In June 2016, the Warburg College library migrated to a new integrated library system, Alma. In the process, we lost the enumeration and chronology data for roughly 79,000 print serial item records. Re-entering all this data by hand seemed an unthinkable task. Fortunately, the information was recorded as free text in each item's description field. By using Python, Alma's API and much trial and error, the Wartburg College library was able to parse the serial item descriptions into enumeration and chronology data that was uploaded back into Alma. This paper discusses the design and feasibility considerations addressed in trying to solve this problem, the complications encountered during development, and the highlights and shortcomings of the collection of Python scripts that became Alma Enumerator.
Forero, D.; Peterson, N.; Hamilton, A.: Building an institutional author search tool (2019) 0.00
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Abstract

Ability to collect time-specific lists of faculty publications has become increasingly important for academic departments. At OHSU publication lists had been retrieved manually by a librarian who conducted literature searches in bibliographic databases. These searches were complicated and time consuming, and the results were large and difficult to assess for accuracy. The OHSU library has built an open web page that allows novices to make very sophisticated institution-specific queries. The tool frees up library staff, provides users with an easy way of retrieving reliable local publication information from PubMed, and gives an opportunity for more sophisticated users to modify the algorithm or dive into the data to better understand nuances from a strong jumping off point.
Gatenby, J.; Thornburg, G.; Weitz, J.: Collected work clustering in WorldCat : three techniques for maintaining records (2015) 0.00
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Abstract

WorldCat records are clustered into works, and within works, into content and manifestation clusters. A recent project revisited the clustering of collected works that had been previously sidelined because of the challenges posed by their complexity. Attention was given to both the identification of collected works and to the determination of the component works within them. By extensively analysing cast-list information, performance notes, contents notes, titles, uniform titles and added entries, the contents of collected works could be identified and differentiated so that correct clustering was achieved. Further work is envisaged in the form of refining the tests and weights and also in the creation and use of name/title authority records and other knowledge cards in clustering. There is a requirement to link collected works with their component works for use in search and retrieval.

Buttò, S.: RDA: analyses, considerations and activities by the Central Institute for the Union Catalogue of Italian Libraries and Bibliographic Information (ICCU) (2016) 0.00

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