The document discusses different ways of organizing data such as taxonomies, ontologies, and schemas. It also discusses challenges with data quality when it is incomplete, late, or backward-looking which prevents its use. When data producers listen to users and see how the data is used, there is an opportunity to improve data quality through a virtuous circle or feedback loop between publishers and users. Standards like IATI and initiatives can help improve data quality and use.

1. Taxonomies,
ontologies
and schemas

2. Taxonomies,
ontologies
and schemas
Data that helps us
lift people out of
Extreme poverty

4. makeaidtransparent.orghttps://vimeo.com/24621998

5. Organisation Activity
sectors
countries
budgets
transactions
locations
partners
title
description
results
iatistandard.org

6. mohinga.info

7. d-portal.org

8. IATI TAG - Ottawa - May 2015
https://atlas.oxfamnovib.nl

9. devtracker.dfid.gov.uk

10. IATI TAG - Ottawa - May 2015

11. https://medium.com/@rolfkleef/examing-structures-in-iati-2-b3a5e8e0e525#.v3aint35n

12. Poor quality data
Incomplete
Late
Backward looking
Can’t use the data
No channels for feedback
Voices aren’t listened to
PRODUCERS USERS
VICIOUS
CIRCLE

13. Good quality data
Improve through listening
See use, therefore invest
Use the data
Are listened to
Clear feedback loop
PUBLISHERS USERS
VIRTUOUS
CIRCLE

15. http://earthquake.opennepal.net

17. http://nepalassessments.github.io/http://simonbjohnson.github.io/

19. Self-aware Data Objects
Business
Context
Micro-
application
Data Envelope
Data
http://www.slideshare.net/RobWorthington1/connected-development-data
http://blog.kwantu.net/an-organic-approach-to-developing-data-standards

20. JUDShttp://juds.joinedupdata.org/

21. IATI TAG - Ottawa - May 2015