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  • New skills, new methods and new information technology approaches
  • Designing new concepts or aligning existing statistical concepts to the concepts in new data sources
  • Measuring, managing and publishing the quality of both the data sources and the statistics produced
  • Governance for data integration projects
  • Managing public perception and communication
  • Avoiding duplication of effort across countries and organisations and using the collective experience of the official statistics community.

5. A survey conducted in 2017 by the Data Integration Project found that public acceptance and trust issues caused more significant/moderate barriers to data integration compared to issues such as methodologies, skills and budget.

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