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- English
Producers of official statistics face a complicated task in managing users’ access to the data they collect, as they must maintain the confidentiality of the individuals or businesses who have provided their data to them, while being under pressure to release ever more detailed datasets in order to
- English
Machine Learning holds a great potential for statistical organisations. It can make the production of statistics more efficient by automating certain processes or assisting humans to carry out the processes. It also allows statistical organisations to use new types of data such as social media data
- English
Strategic communication is a relatively new concept for most statistical organizations, which have traditionally focused their efforts and resources on dissemination practices and systems. A strategic communication function can guide the development and implementation of a communication strategy.
- English
Metadata are data that define or describe other data. Metadata are essential for interpreting data and making meaningful comparisons over time and between countries. This is particularly so for reporting on Millennium Development Goal (MDG) indicators, which often have multiple data sources and
- English
Making Data Meaningful Part 3 - A guide to communicating with the media. Available in English (475 KB).
- English
Making Data Meaningful Part 2 - A guide to presenting statistics. Available in English (1.9 MB), Russian (2.4 MB),
- Pусский
- English
Making Data Meaningful Part 1 - A guide to writing stories about numbers. Available in English (1.6 MB), Russian (1.8 MB
- Pусский
- English
Common Metadata FrameworkCommon Metadata Framework Part A - Statistical Metadata in a Corporate Context: A guide for managers, available in English (0.9 MB) and