This post appears as part of my 8-month fellowship with the Metropolitan New York Library Council (METRO), which ended in June 2017. My project was entitled “Interlinking Resources, Diversifying Representation: Linked Open Data in the METRO Community”. This particular post appears as a summation of my project research.
Continue reading “The Vision of Linked Open Data: Martin Wong and the METRO Network”
Shawn Averkamp is Manager of Metadata Services at The New York Public Library where she directs strategy, production, ontology design, and quality control for digital resource and discovery metadata. Previously she worked as Data Services Librarian and Interim Head at the University of Iowa Libraries Digital Research and Publishing department, contributing to the Libraries’ digital collections, institutional repository, and crowdsourcing platform, DIYHistory, and as Metadata Librarian at the University of Alabama Libraries. She earned her MLIS from the University of Iowa and holds a BA in Music from Luther College.
OpenRefine is a well-loved tool among information professionals for cleaning “messy” data, mostly tabular data (Excel, CSV, TSV), but also record data in serializations like XML. Do you have values in an Excel spreadsheet with unwanted whitespace? Or multiple spellings for the same term? Then OpenRefine might be just the tool for you. OpenRefine is flexible enough to handle script-writing or the writing of regular expressions to batch alter values any way you choose. And scripting can be used for other purposes, too, including calling outside APIs to align new data with what you have.
Continue reading “Using OpenRefine to Reconcile Name Entities”
Liza Harrell-Edge is currently Manager of Digital Initiatives at the New School Archives and Special Collections. She previously worked at NYU’s Fales Library on collections including the Kathleen Hanna Papers, the Erich Remarque Papers and the Sylvester Manor Archive.
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Continue reading “Using Beautiful Soup with Python for Webscraping”