Emerging Trends in Data Visualization and Dissemination discusses providing statistical data through application programming interfaces (APIs) and as a service rather than goods. It describes how mashups combine data from multiple sources into new applications and services. The document outlines benefits of mashups, how they work by retrieving data through APIs from different websites, and factors to consider when planning a mashup like data sources and programming languages. It provides examples of the United Nations' UNData and Comtrade initiatives that make international statistical databases freely available through APIs and web services.

1. Emerging Trends in Data Visualization and Dissemination Internet mashups and Statistical Data as a Service 7 October 2010

5. How a mashup works? User Mashup website User Request Website 1 Website 2 API Call Data API Call Data Data presentation Data Manipulation

8. Providing Data as a Service Dynamic content providers, mashup creators Analysts, researchers, data enthusiasts Storage is provided Need for storage Always latest update Dated with the time of download Dynamic access Bulk onetime download Data as Service Data as Goods

10. Data dissemination – UNData

11. Data dissemination – UNData

12. Data dissemination – UNData

13. Global Data Dissemination Framework UNDATA API project – an API version of the great data made available by the United Nations on the UNDATA site. The aim is to make this data accessible and reusable in a variety or ways so it can be easily mashed up and recombined into new applications or analysis.

14. Mashups with UNdata

15. Mashups with UNdata

17. Data dissemination – Comtrade API