Skip to main content

Open Access Datafication, development and marginalised urban communities: an applied data justice framework

This article is Open Access under the terms of the Creative Commons CC BY licence.

The role of data within international development is rapidly expanding. However, the recency of this phenomenon means analysis has been lagging; particularly, analysis of broader impacts of real-world initiatives. Addressing this gap through a focus on data’s increasing presence in urban development, this paper makes two contributions. First – drawing from the emerging literature on ‘data justice’ – it presents an explicit, systematic and comprehensive new framework that can be used for analysis of datafication. Second, it applies the framework to four mapping initiatives in cities of the global South. These initiatives capture and visualise new data about marginalised communities: residents living in slums and other informal settlements about whom data has traditionally been lacking. Analysing across procedural, rights, instrumental and structural dimensions, it finds these initiatives deliver real incremental gains for their target communities. But it is external actors and wealthier communities that gain more; thus, increasing relative inequality.

Keywords: Data justice; community mapping; datafication; developing countries; inequality

Document Type: Research Article

Affiliations: 1: Centre for Development Informatics, Global Development Institute, University of Manchester, Manchester, UK 2: Citizen Consumer and Civic Action Group, Chennai, India

Publication date: 07 June 2019

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content