Paul Murphy ICT and e-Knowledge For The Developing World Shanghai, September 2010 Data Without Borders
Data Without Borders <ul><li>Barriers to accessing data </li></ul><ul><li>Open Data </li></ul><ul><li>Tools For Sharing De...
Barriers To Accessing Data <ul><li>Cost </li></ul><ul><ul><li>Publishers charged for access to data </li></ul></ul><ul><li...
ESDS International “ Every policy department looks beyond national boundaries… ESDS International is essential for the dev...
Open Datasets <ul><li>UNdata </li></ul><ul><ul><li>Key Global Indicators </li></ul></ul><ul><ul><li>MDG Indicators </li></...
Wikiprogress
Wikiprogress.Stat
Barriers To Accessing Data <ul><li>Cost </li></ul><ul><ul><li>Publishers charged for access to data </li></ul></ul><ul><li...
Statistical Data and Metadata Exchange (SDMX) <ul><li>Comprised of </li></ul><ul><ul><li>Content oriented guidelines </li>...
Joint External Debt Hub
Joint External Debt Hub SDMX “ Agent” SDMX Registry
SDMX and The MDGs
Blind Data
Blind Data
Mobile Data
The Semantic Web <ul><li>The Raw Data </li></ul><ul><li>Made Openly Available </li></ul><ul><li>In a Standard Format (RDF)...
The Semantic Web locatedIn name name type type name type heldIn Thing 2 Thing 3 City Country China Shanghai Thing 1 Event ...
SDMX vs The Semantic Web
Looking To The Future of Data <ul><li>More data will made openly available </li></ul><ul><li>Shared in standard formats </...
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Data Without Borders

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Large volumes of socio-economic data are collected about the developing world. However, licensing fees charged by publishers, along with a myriad of different ways of exchanging the data mean it is often unavailable to local researchers and citizens.
This presentation looks at ways in which country and regional level data can be made more accessible. It looks at the open data environment, and some of the freely available sources of data on developing countries. It examines some emerging technologies and standards that facilitate the dissemination and exchange of socio-economic data, including Linked Data and the Statistical Data and Metadata Exchange (SDMX) initiative, and mobile devices.

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Data Without Borders

  1. 1. Paul Murphy ICT and e-Knowledge For The Developing World Shanghai, September 2010 Data Without Borders
  2. 2. Data Without Borders <ul><li>Barriers to accessing data </li></ul><ul><li>Open Data </li></ul><ul><li>Tools For Sharing Development Data </li></ul><ul><li>Statistical Data and Metadata Exchange Initiative </li></ul><ul><li>Application Programming Interfaces (APIs) </li></ul><ul><li>Linked Data and The Semantic Web </li></ul>
  3. 3. Barriers To Accessing Data <ul><li>Cost </li></ul><ul><ul><li>Publishers charged for access to data </li></ul></ul><ul><li>Technical </li></ul><ul><ul><li>No standard way of exchanging data </li></ul></ul><ul><ul><li>Metadata often an afterthought </li></ul></ul><ul><ul><li>No way for developers to build on the data </li></ul></ul><ul><ul><li>Infrastructure </li></ul></ul>
  4. 4. ESDS International “ Every policy department looks beyond national boundaries… ESDS International is essential for the development of a cohort of researchers with the skills to undertake comparative analyses.” Siobhan Carey, former Head of Statistics UK Department for International Development
  5. 5. Open Datasets <ul><li>UNdata </li></ul><ul><ul><li>Key Global Indicators </li></ul></ul><ul><ul><li>MDG Indicators </li></ul></ul><ul><li>World Bank </li></ul><ul><ul><li>African Development Indicators </li></ul></ul><ul><ul><li>World Development Indicators </li></ul></ul><ul><ul><li>Global Development Finance </li></ul></ul><ul><li>http://www.esds.ac.uk/international </li></ul>
  6. 6. Wikiprogress
  7. 7. Wikiprogress.Stat
  8. 8. Barriers To Accessing Data <ul><li>Cost </li></ul><ul><ul><li>Publishers charged for access to data </li></ul></ul><ul><li>Technical </li></ul><ul><ul><li>No standard way of exchanging data </li></ul></ul><ul><ul><li>Metadata often an afterthought </li></ul></ul><ul><ul><li>No way for developers to build on the data </li></ul></ul><ul><ul><li>Infrastructure </li></ul></ul>
  9. 9. Statistical Data and Metadata Exchange (SDMX) <ul><li>Comprised of </li></ul><ul><ul><li>Content oriented guidelines </li></ul></ul><ul><ul><li>Standard for the exchange of datasets </li></ul></ul><ul><li>Benefits </li></ul><ul><ul><li>Better for the end users of data </li></ul></ul><ul><ul><li>Efficiency </li></ul></ul><ul><ul><li>Greater interoperability </li></ul></ul>
  10. 10. Joint External Debt Hub
  11. 11. Joint External Debt Hub SDMX “ Agent” SDMX Registry
  12. 12. SDMX and The MDGs
  13. 13. Blind Data
  14. 14. Blind Data
  15. 15. Mobile Data
  16. 16. The Semantic Web <ul><li>The Raw Data </li></ul><ul><li>Made Openly Available </li></ul><ul><li>In a Standard Format (RDF) </li></ul><ul><li>That’s Machine Understandable </li></ul><ul><li>Linked to Other Data </li></ul>
  17. 17. The Semantic Web locatedIn name name type type name type heldIn Thing 2 Thing 3 City Country China Shanghai Thing 1 Event ICT and e-Knowledge for the Developing World
  18. 18. SDMX vs The Semantic Web
  19. 19. Looking To The Future of Data <ul><li>More data will made openly available </li></ul><ul><li>Shared in standard formats </li></ul><ul><li>Linked to other data </li></ul><ul><li>Discovery of data will be easier </li></ul><ul><li>Machine understandable data will allow the application of Artificial Intelligence processes </li></ul>
  20. 20. Thank You
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