"There are 8 conclusions we discuss in this report:
(1) There is justified excitement and proven benefits in the use of new digital data sources, particularly where timeliness of data is important or there are persistent gaps in traditional data sources [...]
(2) In many cases, improvements in and greater access to traditional data sources could be more effective than just new data alone [...]
(3) Decision-making around the use of new data sources should be highly devolved by empowering individual staff and be focused on multiple dimensions of data quality [...]
(4) Most new data sources provide a potential route to helping with the Agenda 2030 goal to ‘leave no-one behind' [...]
(5) New data sources with the highest potential added value for exploitation now, especially when combined with each other or traditional data sources, were found to be: a. data from Earth Observation (EO) platforms (including satellites and drones) b. passive location data from mobile phones [...]
(6) The use of Artificial Intelligence (AI) techniques, such as through machine learning, has high potential to add value to digital datasets in terms of improving aspects of data quality from many different sources [...]
(7) Beyond the current time horizon, the most potential for emerging data sources is likely to come from: the next generation of Artificial Intelligence; the next generation of Earth Observation platforms ; privacy Preserving Data Sharing (PPDS) via the Cloud and the Internet of Things (IoT) [...]
(8) Several other factors are relevant to the optimal use of digital data sources which should be investigated and/or work in these areas maintained." (Pages 4-6)