Non-official sources of data -- big data in particular -- are attracting enormous interest in the world of official statistics. An impressive body of work focuses on how different types of big data (telecom data, social media, sensors, etc.) can be used to fill specific data gaps, especially with regard to the post-2015 agenda and the associated technology challenges.

The new PARIS21 discussion paper, "Public-Private Partnerships for Statistics: Lessons Learned, Future Steps", focuses on a different aspect, but one that is of crucial importance: What are the perspectives of the commercial operations and national statistical offices which respectively produce and might use this data? And which incentives, business models and protocols are needed to leverage non-official data sources within the official statistics community?

The paper explores public-private partnerships (PPPs) for statistics, their opportunities and challenges; and, based on past and existing collaborative projects, it provides a classification of PPPs. Through four case studies, the authors draw lessons on achieving cooperation and harnessing the private sector's resources to make these partnerships work in developing countries, in particular.

You can access the full discussion paper below.



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