DGINS big data day

Questions for interactive voting

Which Dutch cookie do you like best?

Please select only one answer

1 Stroopwafel

2 Sprits

3 Bokkepootje

4 Don’t know

What comes to your mind when you think of the Netherlands?

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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

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

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

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

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

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?

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

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.)

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

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?