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            Perspectives on Paradata

            Research and Practice of Documenting Process Knowledge

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            Contributor(s)
            Huvila, Isto (editor)
            Andersson, Lisa (editor)
            Sköld, Olle (editor)
            Language
            English
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            Abstract
            This open access book examines a rapidly 'datafied' society, reminding us that it is crucial to know what data is about and where it originates. This insight has led to an embryonic stage of new theorizing, empirical research, and the formation of new technologies, standards, practices, and concepts to ensure the availability of adequate 'paradata' – data on the making and processing of data. This edited volume aims to provide a cross-disciplinary overview of perspectives on the concept and phenomenon of paradata and its implications for research and practice.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/160435
            Keywords
            Paradata; Data Processes; Knowledgement Management; Documentation; Datafying Society; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMK Knowledge management; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GL Library and information sciences / Museology; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
            DOI
            10.1007/978-3-031-53946-6
            ISBN
            9783031539466, 9783031539459
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2024
            Imprint
            Springer International Publishing
            Series
            Knowledge Management and Organizational Learning,
            Pages
            264
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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