Data Integration
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Information, results and outputs of the 2016 HLG-MOS project on Data Integration in Official statistics are published here.  A separate restricted wiki space exists for those who worked on this Modernstats project.

Data integration provides the potential to produce more timely, more disaggregated statistics at higher frequencies than traditional approaches alone.  In 2015, the HLG-MOS recognised that official statistics organisations were challenged by the capacities needed to incorporate new data sources in their statistical production processes. The 2016 Data Integration project was proposed by the HLG-MOS Modernisation Committee on Products and Sources and was subsequently commissioned by the HLG-MOS to:

  • Gain experience in data integration by pooling resources in joint practical activities.

  • Translate experiences into general recommendations for data integration and provide initial guidance for a quality framework.

Click below to read the chapters of first Draft of the Report of the 2016 HLG Data Integration Project (or click here to open the complete draft report).

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Content:

Chapter 1 and 2:  Introduction and Purpose 

Chapter 3: HLG-MOS Data Integration Project

Chapter 4: WPA: a framework for Data Integration

Chapter 5: WP0: Data sets for common approaches

Chapter 6: WP1: Integrating survey and administrative sources

Chapter 7: WP2: New data sources and traditional sources

Chapter 8: WP3: Integrating geospatial and statistical information

Chapter 9: WP4: Micro-macro integration

Chapter 10: WP5: Validating official statistics

Chapter 11: Next Steps

Annex 1: 2016 Experiment Proposals and Reports

Annex 2: 2016 Project Members 

References: References and futher information 

Experiment Reports: 2016 Experiment Reports

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Data Integration diagram

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