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Displaying Results 1 - 20 of 41

- English
The demand for timely, relevant, and trustworthy statistical insight continues to grow at an unrelenting rate. Similarly, the digital age continues to provide quantities of data which require additional processing, storage, analytical and dissemination capability. The development of Cloud computing services has enabled greater capability in meeting increased customer demand for timely and
- English
In the age of the information deluge, National Statistical Offices (NSOs) and International Statistical Organizations serve as vital sources of independent, reliable, and trusted Official Statistics. Amidst the proliferation of alternative data sources and global misinformation, these organizations need to highlight their contributions and the distinctive qualities that establish Official
- 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 provide greater analytical insight to those who wish to use such data. Traditionally, national
- 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 and imagery. Many national and international statistical organisations are exploring how machine
- 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. This has particular relevance for the world of official statistics, where communication and
- 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 typically attract a wide audience of users who may have limited background in
- 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), Spanish (1.3 MB) - Spanish translation kindly provided by the Instituto Nacional de
- English
Making Data Meaningful Part 1 - A guide to writing stories about numbers. Available in English (1.6 MB), Russian (1.8 MB), Spanish (301 KB
- 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 Russian (4.7 MB) (2009)