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Research Ideas and Outcomes 5: e37478
https://doi.org/10.3897/rio.5.e37478 (18 Jun 2019)
https://doi.org/10.3897/rio.5.e37478 (18 Jun 2019)
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Introduction
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Increasing uptake of air quality from lower-cost sensing systems information in policy and society
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Making use of air quality data from multiple sources
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Data quality: coping with varying levels of data quality
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Interoperability: comparing and integrating measurements from multiple sources
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Modelling: analysing and learning from the multitude of air quality measurements available
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Calibration: improving the quality of air quality information
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Data management: sharing data and honouring sources, confidentiality and ownership
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Moving ahead
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Acknowledgements
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References
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