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Unleashing Innovation: Data Collection at Statistics Netherlands

Explore how the Innovation Programme & Lab drive data collection through external pressures, tech challenges, and internal empowerment. Learn about sponsorships, concepts to implementation, and the impact on statistical practices.

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Unleashing Innovation: Data Collection at Statistics Netherlands

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  1. Innovation at Statistics Netherlands Hank HermansPrepared by Barteld Braaksma, Maarten Emons, Nico Heerschap, Marko Roos and Marleen Verbruggen The Innovation programme and the Innovation Lab Two examples in the area of data collection

  2. Why an innovation programme? External pressure(new output channels. cooperation) Technological challenges(big data, social media) Internal ideas (empowerment; synergies)

  3. Rough idea Enriched idea Find sponsor Concrete proposal Proof of Concept Implementation How does the programme work(1/2)? Road map for innovation tracks Not starting from methodology (theory) But from idea for application (practice) The best way of having a good idea is having a lot of ideas

  4. How does the programme work(2/2)? Innovation program supports and facilitates tracks Survival of the fittest (accept failure)# ideas > # PoCs > # implementations Resources from initiator, sponsor, methodology, IT Collaboration with external partners Strong support from top management Light management and limited paperwork (‘just do it’)

  5. The Innovation lab Heerlen Opening May2012 • Elaborating ideas • Brainstorming • Workshops • Open IT-environment • Communication facilities The Hague

  6. % 45 40 35 30 25 20 15 10 5 0 Elementary Primary Secondary Higher University Unknown Internet CBS Internet as a Data Source (example 1/2) • Many opportunities • Price statistics • Job vacancies • C2C (EBay) • But important issues • Quality • Methodology • Legal aspects Job vacancies from internet robots and quarterly statistics compared

  7. Promising applications Tracking smartphone use Combination with GPS data Short pop-up questionnaires Challenges Recruitment of participants (privacy!) Power consumption Methodological issues Smartphones (example 2/2)

  8. Innovation programme works(30 ideas first half of 2012) Many non-statistical issues show up(legal aspects, IT requirements) New sources come with new challenges(methodology, recruitment, robustness) What are our experiences so far?

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