Perspectives on Paradata : Research and Practice of Documenting Process Knowledge / [electronic resource] : / edited by Isto Huvila, Lisa Andersson, Olle Sköld.. — 1st ed. 2024.. — XI, 264 p. 25 illus. : online resource. — (Knowledge Management and Organizational Learning,) 13 2199-8671 ;. - Knowledge Management and Organizational Learning, 13 .

1. An introduction to paradata -- 2. Paradata in surveys -- 3. Making research code useful paradata -- 4. A leap of faith: Revisiting paradata in 3D scholarship -- 5. Dustings of paradata as pedagogical support at four archaeological field-school sites -- 6. Towards Embodied Paradata. A diffractive art/archaeology approach -- 7. Mapping accessions to repositories data: A case study in paradata -- 8. Paradata for digitization processes and digital scholarly editions -- 9. Reconstructing provenance in long-lived data systems: the challenge of paradata capture in memory institution collection databases -- 10. Paradata in Emergency Services Communications Systems -- 11. The Role of Paradata in Algorithmic Accountability -- 12. Adding paradata about records processes via Information Control Plans -- 13. Paradata as a tool for legal analysis – Utilising data-on-data related processes.-14. Concluding discussion: Paradata for information and knowledge management.

Open Access

Анотація:
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.

9783031539466

10.1007/978-3-031-53946-6 doi


Knowledge management.
Library science.
Data mining.
Knowledge Management.
Library Science.
Data Mining and Knowledge Discovery.

HD30.2

658.4038