1. Access to Big Data for Statistical Purposes
Natalie Rosenski, Federal Statistical Office of Germany (Destatis),
28 June 2018
Session 7

2. NSI
© AdExchanger (2017)

3. Introduction Expectations regarding the use of Big Data:
Faster data production
More precise results
Less burden for respondents
For the production of statistics, access to Big Data needs to be:
Permanent
Independent of the market situation
Unattached by the willing of private data holders

4. Activities of Destatis
Member of ESS and UN Working Groups on Big Data and Official Statistics
Cooperation with the Working Group „New digital data“ of Destatis‘ statistical advisory board
Participation in different European projects on Big Data regarding:
Satellite data (Makswell, Deep Solaris, Smart Statistics)
Mobile phone data (Cooperation with T-Systems, City data and LFS)
Web scraping of online job vacancies

5. Approaches of the statistical offices
Destatis/ IT.NRW plan to commission a comparative law report for Germany
Eurostat has assigned a contract to analyse the legal situation in Europe
Legal benchmarks are France and the United Kingdom
Recommendations by the UN Global Working Group on Big Data
Communication guidelines of the European Commission

6. Possible solutions in Germany
Data should be free of costs
Benchmark: national legislation for administrative data (BStatG, section 5a)
Transmission of metadata and test data on request
For implementation, a specific legal regulation is needed
Maybe pre-processing of data by the private enterprises
Reimbursement of the private enterprises?

7. Additional (legal) questions
Is there a difference between „big“ and „regular“ data?
Is there a specific data protection needed to avoid unfair competition?
Who owns the data?
Does big data affect the professional standards of official statistics?
How do we regulate the combination of big data with survey and administrative data?
How do we guarantee the data availability for science?
How do we ensure the transparency of the data processing?

8. Access to Big Data for Statistical Purposes
Thank you for your attention! Any questions?
Natalie Rosenski, Federal Statistical Office of Germany (Destatis),