Open data can help solve problems by engaging the broader community and including open components in government and community design. True open data follows eight principles: it is complete, primary, timely, accessible, machine readable, non-discriminatory, non-proprietary, and free to use. Open data has been used for policy making, advocacy, innovation, and more. Examples include funding data for schools, health maps, and medicine price registries. Open data can enable new business models and increase data literacy. It helps redefine development by focusing on solutions and benefits for people.

1. by Sandra Moscoso for St. Lucia Data Literacy Bootcamp
Photo Credit: Hernán Piñera, Flickr
Open Data Opens Doors

2. Intro: By Day…
Institutional Data Pusher

3. Intro: By Night…
Local data consumer

5. Open Data is Not About Data
• It’s about solving problems; it’s about getting help from the broader
community to get to the solutions; it’s about helping ourselves
• Citizen engagement means nothing without transparency; need to
include ‘open’ components as part of design of government, NGO,
community, development, etc.
It’s not about open data…

6. What is Open Data?
8 Principles (December 2007)
• Complete (except when subject to privacy, security, privilege)
• Primary (raw/granular)
• Timely
• Accessible
• Machine readable (re-usable)
• Non-discriminatory
• Non-proprietary
• License Free
A necessary resource with a terrible name

7. NOT Open Data
Data privacy is critical to ALL data efforts….
Student academic
records
Student-level standardized test
records
Individual student health data
Individual student transportation
data (i.e. -DC1 free transportation program)
Student-level attendance data
Student-level discipline data

8. Policy-Making

9. Raw Data
+

10. Evidence-Based Policy
• Build tools and
analyses used by DC
Council, agencies, and
NGOs to provide
services for children
and make policy
decisions
• Organize a team of
volunteers to create
maps and
visualizations that
support advocacy
efforts for NGOs and
community
organizations
http://www.dcactionforc
hildren.org/
DC Action for Children

11. • Citizen and stakeholder
engagement to support city-
wide policy change
• Map by Washington Post
reflects changes to student
assignment
• Our DC Schools
o 50 pages of policy
translated into a 7
question survey
o 400 participants reached
via face to face session;
4000 participants reached
via ourdcschools.org
o All data collected (except
that which compromised
privacy) was published as
open data then analyzed
by others
http://ourdcschools.org/
DC’s Boundary
Review Process
Education Policy Design, Washington

12. Community Advocacy

13. Advocacy for Policy Change
• Map of funds allocated to
schools, updated annually
during budget season
• City has been sharing the
data with local education
advocates since 2014
• http://dcpsbudget.ourdcschoo
ls.org/ /
At-Risk Funds

14. Advocacy for Policy Change… 2.0
• ”Same” funding data
combined with “same”
performance data
• https://twitter.com/betsyjwolf
Same data, with
school-level nuance

15. Follow the Money, Nigeria
http://www.followthemoneyng.org/

16. Media (and the Infomediary)
as a Social Service

17. OpenUp’s Medicine Price Registry
https://mpr.code4sa.org/
Helped identify almost $480M in
price discrepancies across 14
countries

18. HealthMap, Global
http://healthmap.org/en/

19. Infoamazonia, Brazil
(+ Amazon Countries)
http://infoamazonia.org

20. Mutualistas, Uruguay
http://mutualistas.datauy.org/

21. Innovation and Economic Opportunities

22. Open Data Business Models
• Suppliers: publish their data, free -> increase customer
loyalty
• Aggregators: collect data, analyze, charge for the
insights or otherwise
• Developers: design and build apps (web-based, tablet,
smartphone)
• Enrichers: established businesses enhance their
products and services
• Enablers: charge companies to make it easier for them to
use open data
Slide Credit – Alla Morrison, World Bank Group

23. Data Literacy
• Increasing demand for data
scientists (across industries) –
Burtchworks Study
• Projections of US shortage of
140-190K employees w/ deep
analytical skills by – McKinsey
Global Institute
• Enables teachers to bring
relevant and engaging topics
into their classrooms; critical
local and community issues
• Used by hundreds of teachers
(and their students) across 19
countries
• FREE Data Literacy Course:
https://sudanebp.tuvalabs.co
m/
TuvaLabs
https://tuvalabs.com/

24. Re-defining “Development”
• Access to data
• Communities of problem
‘experts’ , data experts,
technologists, and
journalists: ‘Code for’,
Hacks/Hackers chapters,
etc
• Thinking beyond
transparency and
accountability
• How is open data
translating to actual
solutions and benefits for
people? (vs governments,
institutions)
Ecosystem Dependent

25. Public Data “Trusts”
• Philladelphia open data
https://www.opendataphilly.org/
• Swim Guide
https://www.theswimguide.org/
You don’t have to go at it on your own…

27. - Thank you -
smoscoso@worldbank.org
@sandramoscoso

28. Finding the Right School
• Boston (US): http://www.discoverbps.org/
• Washington, DC (US): http://school-chooser.herokuapp.com/
• Tanzania: http://www.shule.info/
• Chicago (US): http://cpstiers.opencityapps.org/
• Spain:
http://www.juntadeandalucia.es/educacion/vscripts/centros/index.asp
UK: http://www.skillsroute.com/
• Moldova: http://afla.md/
• New York City (US): http://nyc-high-schools.findthebest.com/
School-comparison
apps