Tkacz, N., Henrique da Mata Martins Mário, M., Porto de Albuquerque, J. , Horita, F. and Dolif Neto, G. (2021) Data diaries: a situated approach to the study of data. Big Data and Society, 8(1), p. 205395172199603. (doi: 10.1177/2053951721996036)
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Abstract
This article adapts the ethnographic medium of the diary to develop a method for studying data and related data practices. The article focuses on the creation of one data diary, developed iteratively over three years in the context of a national centre for monitoring disasters and natural hazards in Brazil (Cemaden). We describe four points of focus involved in the creation of a data diary – spaces, interfaces, types and situations – before reflecting on the value of this method. We suggest data diaries (1) are able to capture the informal dimension of data-intensive organisations; (2) enable empirical analysis of the specific ways that data intervene in the unfolding of situations; and (3) as a document, data diaries can foster interdisciplinary and inter-expert dialogue by bridging different ways of knowing data.
Item Type: | Articles |
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Additional Information: | This article is part of the project T2S Waterproofing Data which is financially supported by the Belmont Forum and NORFACE Joint Research Programme on Transformations to Sustainability (https://www.norface.net/ program/transformations-to-sustainability/), co-funded by DLR/BMBF, ESRC/Global Challenges Research Fund (ES/S006982/1), FAPESP and the European Commission through Horizon 2020. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Porto de Albuquerque, Professor Joao |
Authors: | Tkacz, N., Henrique da Mata Martins Mário, M., Porto de Albuquerque, J., Horita, F., and Dolif Neto, G. |
College/School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
Journal Name: | Big Data and Society |
Publisher: | SAGE Publications |
ISSN: | 2053-9517 |
ISSN (Online): | 2053-9517 |
Published Online: | 24 March 2021 |
Copyright Holders: | Copyright © 2021 The Authors |
First Published: | First published in Big Data and Society 8(1): 205395172199603 |
Publisher Policy: | Reproduced under a Creative Commons License |
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