Name: Paradata. Documenting Data Creation, Curation and Use (en Inglés)
SKU: 64691311
Price: 145.87 USD
Availability: InStock
Author: Isto Huvila;Zanna Friberg;Ying-Hsang Liu;Olle Skold;Lisa Andersson
ISBN: 9781009366588

portada Paradata. Documenting Data Creation, Curation and Use (en Inglés)

Paradata. Documenting Data Creation, Curation and Use (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Isto Huvila;Zanna Friberg;Ying-Hsang Liu;Olle Skold;Lisa Andersson

Año

2025

Idioma

Inglés

N° páginas

238

Encuadernación

Tapa Dura

Dimensiones

22.9x15.1x1.6 cm

ISBN13

9781009366588

Paradata. Documenting Data Creation, Curation and Use (en Inglés)

Isto Huvila;Zanna Friberg;Ying-Hsang Liu;Olle Skold;Lisa Andersson (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "Paradata. Documenting Data Creation, Curation and Use (en Inglés)"

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\nThis first comprehensive book-length volume on paradata, the documentation of data creation, management and use, overviews a crucial practice for making data reusable in the future. It is ideal for researchers, students and data managers. This title is also available as open access on Cambridge Core.
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\nTo make sense of data and use it effectively, it is essential to know where it comes from and how it has been processed and used. This is the domain of paradata, an emerging interdisciplinary field with wide applications. As digital data rapidly accumulates in repositories worldwide, this comprehensive introductory book, the first of its kind, shows how to make that data accessible and reusable. In addition to covering basic concepts of paradata, the book supports practice with coverage of methods for generating, documenting, identifying and managing paradata, including formal metadata, narrative descriptions and qualitative and quantitative backtracking. The book also develops a unifying reference model to help readers contextualise the role of paradata within a wider system of knowledge, practices and processes, and provides a vision for the future of the field. This guide to general principles and practice is ideal for researchers, students and data managers.