Data for Development: What’s Next? Concepts, Trends and Recommendations for German Development Cooperation
Bonn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ);Institute of Development Studies (IDS);World Wide Web Foundation; (2017), 83 pp.
CC BY-SA
"In this report, we look at the state of digital data for development and emerging trends. We aim to support German development cooperation in integrating and prioritising data approaches and investments in their work. In this study we focus on four data categories: big data, open data, citizen-generated data and real-time data. The selection of these categories considered two key dimensions: (1) the growing use in development-related policy discussions, and (2) the ability to capture key characteristics of interest, including size, access, source, and timeliness of data. We believe these categories provide a good starting point to explore how digital data production and use might lead to better development outcomes." (Executive summary)
I. INTRODUCTION, 16
II. THE STATE OF AFFAIRS, 18
Big data -- Open data -- Citizen-generated data -- Real-time data
III. TRENDS, 42
More data and new data sources create opportunities -- New technologies improve data analysis -- New types of actors, partnerships and ways of working emerge -- Balancing access to personal data and privacy -- The value of contextual, granular information -- Information inequality is likely to persist
IV. RECOMMENDATIONS, 62
Maximise the potential of data, but do not treat it as a 'silver bullet' -- Build internal data capacity -- Leverage partnerships for a strategic advantage -- Support strong technological and legal data privacy frameworks -- Be experimental and focus on a few sectors and geographies -- Address data inequalities
V. THE WAY FORWARD, 78
II. THE STATE OF AFFAIRS, 18
Big data -- Open data -- Citizen-generated data -- Real-time data
III. TRENDS, 42
More data and new data sources create opportunities -- New technologies improve data analysis -- New types of actors, partnerships and ways of working emerge -- Balancing access to personal data and privacy -- The value of contextual, granular information -- Information inequality is likely to persist
IV. RECOMMENDATIONS, 62
Maximise the potential of data, but do not treat it as a 'silver bullet' -- Build internal data capacity -- Leverage partnerships for a strategic advantage -- Support strong technological and legal data privacy frameworks -- Be experimental and focus on a few sectors and geographies -- Address data inequalities
V. THE WAY FORWARD, 78
