233,576 research outputs found

    EAD - enabling armchair delivery : approaches to encoding finding aids at the University of Liverpool

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    EAD is increasingly being selected as the primary data format for constructing archival finding aids in the British Archive Community as the new technologies and know-how required to encode lists are being embraced in many repositories. One major problem facing archivists, though, is how to convert finding aids held in a variety of formats (including databases, word processed documents and paper lists with no machine readable form) into EAD. This article will discuss the methods used in Special Collections and Archives at the University of Liverpool Library in converting finding aids into EAD. Two main examples will be discussed: firstly, designing database output styles which automatically generate EAD tags to wrap around database fields using the ProCite bibliographic database and secondly, offshore keying of paper lists with the addition of basic EAD tags following a rigorous template designed by Special Collections and Archives staff. Both methods have proved effective and have facilitated the generation of EAD encoded lists for a number of our largest collections. Finally, there will be a brief discussion of our use of native EAD generation using AdeptEdit software and our continuing use of conversion methods

    From ZigZag to BigBag: Seeing the Wood and the Trees

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    This paper reports on a one year speculative research project that sought to test the technical feasibility, practical implications and usability of transforming an XML Encoded Archival Description (EAD) finding aid into an XML ZigZag™ structure and applying a relational browser interface

    XQuery for Archivists: Understanding EAD Finding Aids as Data

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    [Excerpt] XQuery is a simple, yet powerful, scripting language designed to enable users without formal programming training to extract, transform, and manipulate XML data. Moreover, the language is an accepted standard and a W3C recommendation much like its sister standards, XML and XSLT. In other words, XQuery’s raison d’etre coincides perfectly with the needs of today’s archivists. What follows is a brief, pragmatic, overview of XQuery for archivists that will enable archivists with a keen understanding of XML, XPath, and EAD to begin experimenting with manipulating EAD data using XQuery

    It's Public Knowledge: The National Digital Archive of Datasets

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    This article describes the history and development of the National Digital Archive of Datasets, a service run by the University of London Computer Centre for the National Archives of England. It discusses the project in light of the context in which it emerged in the 1990s, its departure in approach from traditional data archives, and the range of archival functions. Finally, it offers reflections on the project as whole. Cet article décrit l’histoire et le développement du National Digital Archive of Datasets, un service offert par le centre informatique de l’Université de Londres pour les Archives nationales de l’Angleterre. L’auteure présente le contexte dans lequel le projet a émergé dans les années 1990, son approche qui diffère de celle des archives de données informatiques traditionnelles, ainsi que la gamme de ses fonctions archivistiques. Finalement, elle offre des réflexions sur le projet dans son ensemble

    We Could, but Should We? Ethical Considerations for Providing Access to GeoCities and Other Historical Digital Collections

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    We live in an era in which the ways that we can make sense of our past are evolving as more artifacts from that past become digital. At the same time, the responsibilities of traditional gatekeepers who have negotiated the ethics of historical data collection and use, such as librarians and archivists, are increasingly being sidelined by the system builders who decide whether and how to provide access to historical digital collections, often without sufficient reflection on the ethical issues at hand. It is our aim to better prepare system builders to grapple with these issues. This paper focuses discussions around one such digital collection from the dawn of the web, asking what sorts of analyses can and should be conducted on archival copies of the GeoCities web hosting platform that dates to 1994.This research was supported by the Natural Sciences and Engineering Research Council of Canada, the Social Sciences and Humanities Research Council of Canada, the US National Science Foundation (grants 1618695 and 1704369), the Andrew W. Mellon Foundation, Start Smart Labs, and Compute Canada

    A Large-Scale Community Questions Classification Accounting for Category Similarity: An Exploratory?

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    The paper reports on a large-scale topical categorization of questions from a Russian community question answering (CQA) service [email protected]. We used a data set containing all the questions (more than 11 millions) asked by [email protected] users in 2012. This is the first study on question categorization dealing with non-English data of this size. The study focuses on adjusting category structure in order to get more robust classification results. We investigate several approaches to measure similarity between categories: the share of identical questions, language models, and user activity. The results show that the proposed approach is promising.14-07-00589; RFBR; Russian Foundation for Basic Research
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