Data on its own is not enough. Cutting edge research methods often generate powerful insight for stakeholders in the moment but then the data is lost. In the meantime often data is captured for specific purposes and could be misrepresented and harmful to participants if it were to be shared in other contexts.
The amount of data available to programmes is constantly increasing, but with it there are still challenges related to data management, interpretation, sharing and ethics. In an attempt to make better use of what is available, IDS is leading on a pilot programme which examines sets of participatory and systemic data with a view to increase understanding of how data is collected, analysed and shared in development programming.
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