Page 321 - Special Topic Session (STS) - Volume 4

STS637 Ronald W. J.
Campus of ONS in the UK, Statistics Netherlands has created a Big Data
12
center for data innovation in official statistics. China, Korea Republic and
Rwanda have concrete plans to establish such data innovation centers as well.
The reasons for wanting to have a Data Science facility in conjunction with
a national statistical office are (1) to harness and exploit large digital datasets
and data streams, (2) to develop and test algorithms, which lead to statistics
and insights, and (3) to develop new skills in the task force of the statistical
office, as well as attracts partner communities to work with the statistical office.
Private sector, academia, research institutes and civil society can and are
willing to support the statistical community, especially in the new domain of
Data Science for official statistics. Together, significant progress can be made
to fulfil the promise of timely, more frequent and more granular data to inform
and achieve the sustainable development goals and targets.

References
1. United Nations (2015), Transforming our World: The 2030 Agenda for
Sustainable Development A/RES/70/1
2. Hengshuang Zhao, Jianping Shi, et al. (2017) “Pyramid Scene Parsing
Network”, arXiv:1612.01105
3. Philip Stubbings, Joe Peskett (2018), “Mapping the urban forest at street
level”, ONS Data Science Campus, Newport, UK
4. Titi Lestari, Siim Esko, et al. (2018), “Indonesia’s Experience of using
Signalling Mobile Positioning Data for Official Tourism Statistics”, paper
presented at the 15th Global Forum on Tourism Statistics, 28-30
November 2018, Cusco, Peru

12 See https://www.cbs.nl/en-gb/our-services/innovation/big-data

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