2. Which Dutch cookie do you like best?
Please select only one answer
1 Stroopwafel
2 Sprits
3 Bokkepootje
4 Don’t know
3. What comes to your mind when you think
of the Netherlands?
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4. Q1 What added value of big data do you expect
for your institute?
Please select all options that apply
1 Efficiency gains for existing statistics
2 Quality improvement for existing statistics
3 Developing new products/services for existing user
groups
4 Developing new products/services for new user groups
5 Other gains
5. Q2 What are the main internal challenges for
exploiting big data at your institute?
Please select all options that apply
1 Inappropriate staff skills
2 Insufficient IT infrastructure
3 Other lack of resources
4 Lack of support for the actual use of big data
5 Other internal challenges
6. Q3 What are the main external challenges for
exploiting big data at your institute?
Please select all options that apply
1 Legislation (e.g. prohibiting use of big data sources)
2 Willingness to cooperate from data owners
3 Public opinion (e.g. “big brother” sentiments)
4 Security (e.g. concerning the use of cloud services)
5 Other external challenges
7. Q4 How likely is it in your country that other parties will
produce “official” statistics based on big data within the
next 5 years?
Please select one answer
1 Very likely
2 Likely
3 Unlikely
4 Very unlikely
5 This already happens
8. Q1a Vote: Where do you see a clear need for
supranational collaboration on big data?
Please select all options that apply
1 Methodology and statistical modelling techniques
2 IT-tools for transport, storage and processing
3 Legislative and privacy issues (e.g. getting access to and using
new BD sources)
4 Development of new statistical production processes
5 Other needs for supranational collaboration
9. Q1a Panel
• Does the panel share the view of the audience on the
need for collaboration?
• What areas mentioned deserve the highest priority?
• In particular, is there a need for an initiative concerning
data protection, modifying the European Statistics Code
of Practice in view of big data, or the provision of
supranational facilities?
10. Q1b Vote: Where can we expect important benefits for the
ESS from supranational collaboration on big data?
Please select all options that apply
1 Improved production processes (e.g. efficiency gains)
2 Alternative production processes (e.g. using statistical
modelling)
3 New products / services (possibly with novel presentation)
4 Relevance: new user groups and/or more use of official statistics
5 Other improvements of the quality of existing statistics
6 Other benefits
11. Q1b Panel
• Does the panel share the view of the audience on
expected benefits of collaboration?
• What benefits can be realized first and what benefits will
be most important in the long run?
• Does “big data” make an overhaul of the ESS system
necessary? (E.g. organisation of production, output
regulations, architecture.)
12. Q2 Vote: What should be the next step(s)?
Please select all options that apply
1 Formulate a big data strategy at ESS level
2 Create a Task Force to write an ESS big data
roadmap
3 Coordinate big data efforts at the higher
supranational level (UNECE etc.)
4 Other steps
13. Q2 Panel
• On which elements should a possible ESS big data
strategy or roadmap focus? And how should the ESS
proceed in order to establish this?
• What steps should be taken at the higher supranational
level?
