#Tag2015 lighting talk Marten Schoonman Akvo
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This document discusses using IATI data like bees use locations of nectar sources. It suggests IATI data needs direction and flexible tools to be useful for different audiences, providing examples of potential new tools that build on IATI data. It also asks whether the focus should be on carrying all IATI data or collecting only the most useful parts, like bees focus on the best nectar sources.
#Tag2015 lighting talk Marten Schoonman Akvo
- 3. IATI is like a beehive¡
- 4. It can be extended to make it as useful as possible..
- 5. To in the end harvest ¡®honey¡¯..
- 6. Can we make IATI sexy like this project on crowdsourcing platform Indiegogo did? i.e. who does not want a honeytap in their garden? https://www.indiegogo.com/projects/flow-hive-honey-on-tap-directly-from-your-beehive
- 7. Bees fly approximately 3 kilometers from their hive. But this does not mean they go everywhere. That would be pretty inefficient.
- 8. They share the exact locations where at a certain moment the best/most nectar can be found. Like ¡®data intermediaries¡¯.
- 9. In (IATI) data use we also need direction. A certain view, format, channels is useful for certain audiences and users at a certain time. This calls for flexible tools. Some examples:
- 10. A view for a project, building on IATI. Including media and updates we could call it IATI+
- 11. A new tool funded by the Hilton and Cisco foundation:
- 12. A new tool to bring data analysis and views together:
- 13. A new tool which build on IATI data to create a ¡®paperless report¡¯
- 14. http://all-that-is-interesting.com/bee-bearding-new-favorite-hobby So, do you want to carry the data like this guy wears bees as a beard? Officialy called ¡®bee bearding¡¯.
- 16. Or do you focus on collecting the good stuff? Thank you!