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.



See other articles

The 4th NSDS Regional Training Course in Asia-Pacific was organised by PARIS21 in partnership and collaboration with the UN Statistical Institute for Asia and the Pacific (SI(...)
The Partnership Report on Support to Statistics (PRESS) 2017 was launched during the International Conference on SDGs held in Manila, Philippines on 4-6 October 2017. The PRESS(...)
The 2017 International Conference on Sustainable Development Goals Statistics (ICSDGS),held on 4-6 October 2017 in Manila, Philippines, focused on Level Up: Shaping a Stron(...)
Media Review Funding Data for Development: Essential to Achieve SDGs « An increase of merely 200 million in Official Development Assistance would enable d(...)