This presentation talks about what Open Data is, how to get it and share for public use. This presentation is made possible by https://websiteghana.com and https://saviour-sanders.com.

1. Developing Open Data
Nehemiah Attigah @attigs

2. Open Development
Open Knowledge
Enable researchers, students, local communities to
collect data, measure results, increase knowledge
Open Data
Share tools and essential information on the global
economy and Bank’s operations
Open Solutions
Work together to find solutions to development
problems

3. • data freely availableOpen
• data easy to use and re-useAccessible
• data easy to findSearchable
Open Data

4. Motivation
 Part of a broader move, including new Access to
Information Policy
 Aim is to stimulate use of development data to
help solve development problems
 Builds on global Open Data initiatives

5. 5 Stars for Open Data by Tim Berners Lee

6. How to I go about it?
• Find the data
• Manage or refine
• Make Valuable – build app , visualize and analyse

7. HOW TO FIND DATA
Scrape - Download - Collect

8. Manage and Refine Data

9. Visualize – Make Valuable

10. Data By Topic

11. Data By Topic

12. See the data
Embed chart,
map, or
graph

13. Chart an indicator
Embed
!

14. Map an indicator
Embed
!

15. Map an indicator
Embed
!

16. Easy to share

17. Google Public Data Explorer

18. Custom charts

19. databank.worldbank.org:
custom queries chart

20. Customized maps

21. Build App- Make Valuable

22. Functions for DATA CREATION APPS
 Identify problem , Find data and make data
accessible
 Create Catalogs
(Raw Datasets, Apps, Tools, Documents, Services)
 Publish Metadata
 Datasets could either be uploaded to the central repository or
could reside at the primary source
 Manage Catalogs
 Configurable workflow for moderation, approval, publishing
and archival – life cycle based

23. Functions for DATA CoNSUMPTION APPS
 Publish Metrics, Charts, dashboards about Data
 Conceptualisation Value added solution for thematic
areas
Development of Apps
 Generic Apps
 Data Specific Apps
Visualisation of Data
Data Mining
Linked Open Data

24. Linked Open data
 The current Web is a Web of Documents intended for human
interpretation. Other applications can not access and process these
data unless...
 Linked Data vision..
 open the data silos and get rid of repository-centric mindset
 publish data of public interest on the Web in a way that other
applications can access and interpret the data using common Web
technologies

25. Linked Open Data
• A set of four principles
• Use URIs as names for things
• Use HTTP URIs so that people can look up those names
• when someone looks up a URI, provide useful
information, using the standards (RDF,
SPARQL)
• include links to other URIs, so that they can
discover more things

26. • Give things an URI!
• Use RDF for Publishing!
• Link your Data to other Data
(as well as the data models)!
• Provide a Standard-API
•Provide an API!
•Organise Data!
•License Data!
•Raw Data now!
From Open Data to Linked
Open Data
26
Publish Data!
Use Web-Technologies
Use Linked Data!
© SWC – http://www.semantic-web.at

27. features
 Developed and Managed Using Open Source
 Highly Configurable
 Look & Feel.. Customizable..themes, icons
 Web based Interface
 Universally Accessible
 Multimedia Help
 Generates Metrics of Various Kind
 Graphical Presentation of Visitor/ Usage Analytics

28. engage with users
Link to social
media
Widgets for blog
posts and sites
Respond to
feedback

29. Get users to the data quickly

30. Create communities around the data

31. Use the tools you give to others

32. Open Data for meaningful data mash-ups
maps.worldbank.org
• Project locations geo-
referenced on a pilot basis
from publicly available
documents
• Basis for displaying projects
on maps
• New “Mapping for Results”
application allows overlay
with other indicators, such as
those for measuring the MDGs

33. Tools
• Spreadsheet
• Google Refine
• Google Fusion Tables
• Tableau
• Data wrapper
• Many Eyes
• Drupal and Wordpress

34. Local Open Data Examples
• Odekro.org
• GODI Portal
• CERGIS Health Facilities Map
• Pulse
Global Open Data Examples
• data.gov
• Data.gov.in
• AID WATCH
• Guardian
• World Bank (data.worldbank.org)
• Data.Nytimes.com

35. Creating a Data Ecosystem
1. Gather data
from many places and give it freely to developers, scientists, and
citizens
2. Connect the community
in finding solutions or maps to make data meaningful to consumers
3. Provide an infrastructure
built on standards and interoperability
4. Encourage technology developers
to create apps, maps, and visualizations of data that empower
people’s choices
5. Gather more data
and connect more people

36. Follow-up
 Email: nehemiah.attigah@hatuasolutions.com
or nehemiah.attigah@gmail.com
 Twitter: @attigs

37. Let’s work together to set the data free!