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Book
The Theory and Craft of Digital Preservation
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ISBN: 9781421426976 9781421426983 1421426986 1421426978 Year: 2018 Publisher: Baltimore : Baltimore, Md. : Johns Hopkins University Press, Project MUSE,

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Abstract

"Among the public, there is a persistent belief that if something is on the Internet, it will be around forever. At the same time, warnings of an impending "digital dark age," where records of the recent past become completely lost or inaccessible, appear in the popular press. In The Theory and Craft of Digital Preservation, Trevor Owens offers a path to go beyond the hyperbole and the anxiety of the digital and establish a baseline for practice in this field. The first section of the book synthesizes work on the history of preservation in a range of areas (archives, manuscripts, recorded sound, etc.) and sets that history in dialogue with work in new media studies, platform studies, and media archeology. The later chapters build from this theoretical framework as a basis for an iterative process for the practice of doing digital preservation. While the book has a practical bent, it is not a how-to book that would quickly become outdated. It establishes and offers stages and processes for doing digital preservation, but it is not tied to particular tools, methods, or techniques. Instead, it is anchored in an understanding of the traditions of preservation and the nature of digital objects and media"--


Book
Between the preadsheets : classifying and fixing dirty data
Author:
ISBN: 9781783305032 9781783305049 9781783305230 1783305231 1783305045 1783305037 Year: 2021 Publisher: London: Facet,

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Outside back cover : "Dirty data is a problem that costs businesses thousands, if not millions, every year. In organisations large and small across the globe you will hear talk of data quality issues. What you will rarely hear about is the consequences or how to fix it. Between the Spreadsheets: Classifying and Fixing Dirty Data draws on classification expert Susan Walsh’s decade of experience in data classification to present a fool-proof method for cleaning and classifying your data. The book covers everything from the very basics of data classification to normalisation, taxonomies and presents the author’s proven COAT methodology, helping ensure an organisation's data is Consistent, Organised, Accurate and Trustworthy. A series of data horror stories outlines what can go wrong in managing data, and if it does, how it can be fixed."

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