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Big data will transform official statistics, shifting focus from data production to utilizing existing data. Addressing data quality, privacy, and availability are key challenges for future statisticians and educational systems.

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Area of Science:

  • Statistics
  • Data Science
  • Official Statistics

Background:

  • Big data presents a paradigm shift for official statistics.
  • The role of statisticians is evolving towards data utilization rather than pure data production.
  • Significant challenges remain in integrating big data into official statistics.

Purpose of the Study:

  • To explore the implications of big data on official statistics.
  • To identify challenges and necessary skill shifts for statisticians.
  • To outline strategies for big data adoption in statistical offices.

Main Methods:

  • Analysis of the impact of big data on statistical processes.
  • Review of challenges including data quality, protection, privacy, and availability.
  • Examination of strategic initiatives like the EU's Big Data Roadmap and Action Plan 1.0.

Main Results:

  • Official statistics will increasingly rely on existing data sources.
  • Key concerns include data quality, privacy, and sustainable availability.
  • Statistical education and offices require adaptation to new skill demands.

Conclusions:

  • Big data necessitates a fundamental change in the field of official statistics.
  • Proactive strategies and educational reforms are crucial for successful integration.
  • The German statistical offices are influenced by the EU's Big Data Roadmap.