SlideShare una empresa de Scribd logo
1 de 46
United Nations Development Programme

Open Data

Marc Lepage
Knowledge & Innovation advisor,
UNDP regional center for Africa
• What is open data?
• Benefits of open data

• Open data for …

–Government
–Aid efficiency
–Development
–Crisis information management
• Challenges
• What next?
2
open data is “data that can be freely used, reused and
redistributed by anyone – subject only, at most, to the
requirement to attribute and sharealike”.

3
Open

• data freely available

Accessible

• data easy to use and re-use

Searchable

• data easy to find

4
• 1 star: Available on the web (whatever format) but
with an open licence, to be Open Data

• 2 stars: Available as machine-readable structured
data (e.g. excel instead of image scan of a table)
• 3 stars: as (2) plus non-proprietary format (e.g. CSV
instead of excel)
• 4 stars: All the above plus, Use open standards from
W3C (RDF and SPARQL) to identify things, so that
people can point at your stuff
• 5 stars: All the above, plus: Link your data to other
people‟s data to provide context
5
• Part of a broader move, including new Access to
Information Policy

• Builds on global Open Data initiatives
• Aim is to stimulate use of development data to help solve
development problems:

–economic benefits (growth and job
creation),
–improved public services and
–more transparent and accountable
government
6
Before…

After…

Subscriptions

Free!

Custom query tool

New website, downloads, API

Restrictions on use Minimal restrictions on use
English

+Spanish, French, Arabic,
Chinese

Not searchable

Searchable

Scattered datasets

Data catalog
7
• Users are encouraged to use the data.

–extract, download, and make copies
–Share with third parties.
• Attribution
• No Endorsement
• No Association

• No Warranties

8
9
There are several flavors of open data,
for instance open government data
helps to make data held by
governments accessible to both
applications and end-users.

10
Major examples of open
government data include transport
data (which has given cities like
New York applications to show
fastest routes on any day etc) and
finance data (giving citizens
visibility into how their money is
spent).
11
1. Government should do the least possible and act as a

Facilitator – Build a platform and let others add to it
2. Engage entrepreneurs in developing applications using
government data through workshops and forums
3. Develop Application Programme Interface (API) to support
web developers for your data
4. When more people are working on the data, innovation
happens
12
1. Citizens are becoming data producers as well as data
consumers.
2. Citizens are changing the political landscape by being more
involved in the decision making process
3. Citizens are engaging other citizens to act through social
networking tools

13
14
15
• A client government wants to download and use HDR
data into internal systems

–In real time
–Inexpensively

–Without significant human overheads
• An NGO in Botswana wants to follow UNDP‟s project
portfolio in democratic governance

• A researcher wants to combine UNDP‟s HRD data with
data from a country‟s planning commission to analyze
trends
16
• A blogger wants to substantiate the opinion in her blog
with data based charts (that update in real time) from the
UNDP‟s project database
• A UNDP staff member answers questions about UNDPs
commitment to transparency
• An independent application developer in Georgia wants
to create a mobile application that tracks the flow of donor
money to monitor election and help local civil society
access the grants (case study here)

17
18
19
20
21
22
23
24
25
IATI & UNDP: promotes efficiency and re-use: Worst of all Worlds

26
IATI and UNDP: Promotes efficiency and re-use:
Publish once, use often

27
28
29
30
31
32
33
34
35
36
Lack of overall strategy

The “Top Down” approach / culture
Cultural barriers

Legislation gap
Context gap

37
• Suggested approach: pilot under 3 criteria

–Low cost (under $1000/month)
–Fast

–Low effort
• 2 options:
a) custom development, piggybacking on the
HDR‟s API
b) open data platform
38
• Start with one data set we feel comfortable with

• Test with stakeholders
• Confirm features/functions/scalability
• Learn from the experience

• Identify more potential data sets
• Continue evaluating other options
(custom/platform)

• Get ready for a larger launch
39
• The pilot will only include one data set
• (If needed) the pilot will include some basic design work required to
make the pilot site attractive and user-friendly
• The pilot can be live within a week of final approval to proceed
• The pilot should ideally run for no more than 2-3 months

• One of the goals of the pilot will be to understand what additional
features/tools must be bundled with the service to maximize the value
of the service to clients
• The pilot will also help the team understand the technical parameters
required to fully launch the service
• The pilot will also consider what communication/community
approaches will be most effective during the larger launch
40
• OUTCOMES

– Establish the governance processes and structures to
support the larger launch
– Resolve security, legal, data confidentiality, and other
issues before the larger launch
– Gain client/other stakeholder buy-in for the service
– Establish the full bouquet of services that should be
bundled with the final product
– Work through a variety of „what‟s in it for me‟ client
scenarios
– Select a platform for the final launch
41
Manual
upload

UNDP
applications

Open Data
U
N
D
P

API

Publish API

Mobile
applications
User interface

D
A
T
A

3rd party
applications

Community

In scope (pilot)

Analytics

Visualizatio Downloads
n

Filters/rollups

GIS

42
ISSUES

STEPS

Who is going to take the lead?

KIC group to assist & offer for pilot

What data can be included in this service (immediately, and in the long term)

KIC group to consult internally

What impact will the initiative have on our client relationships? Are there any
pre-launch steps we need to take

This will depend on the data sets we start with

Can all open data services at UNDP be consolidated through the API that is
being developed for HDR?

HRD team and KIC group to consult

What security clearances are required to launch this service

Depends on the data set identified. Could be
none. Double check with legal dept

Who should manage the service? Which parts of UNDP should be involved

KIC group

What data management steps do we need to take to support the data
requirements of the initiative (catalog, metadata, quality, more)

Pilot will clarify

Are there disclosure/copyright issues we should take into account?

Depending on data sets. Consult with legal

What about the quality of our data?

Pilot will shed light into the possibility of
feedback channel to get quality control from
users

Is there a resource constraint in terms of dealing with queries once the data is
released?

Use the pilot to get insights

43
This is just the beginning…….

Availability of
data

Accessibility

Use of data

Engage /
change

44
marc.lepage@undp.org
@marclepage

45
• http://www.od4d.org
• http://openforchange.info

• http://www.slideshare.net/yajitha
• Open data group on Teamworks
• Mark Cardwell, open data evangelist at UNDP
• Giuilio Quaggiotto, all things innovation at UNDP

46

Más contenido relacionado

La actualidad más candente

Analysis and Design of an Application based on Open Data
Analysis and Design of an Application based on Open DataAnalysis and Design of an Application based on Open Data
Analysis and Design of an Application based on Open DataDehbi Sahbi
 
An Open Spatial Systems Framework for Place-Based Decision-Making
An Open Spatial Systems Framework for Place-Based Decision-MakingAn Open Spatial Systems Framework for Place-Based Decision-Making
An Open Spatial Systems Framework for Place-Based Decision-MakingRaed Mansour
 
Workshop Rio de Janeiro Strategies for Web Based Data Dissemination
Workshop Rio de Janeiro Strategies for Web Based Data DisseminationWorkshop Rio de Janeiro Strategies for Web Based Data Dissemination
Workshop Rio de Janeiro Strategies for Web Based Data DisseminationZoltan Nagy
 
FGP Open Group Paris 2016 Presentation FINAL - EN
FGP Open Group Paris 2016 Presentation FINAL - ENFGP Open Group Paris 2016 Presentation FINAL - EN
FGP Open Group Paris 2016 Presentation FINAL - ENBilyana Anicic
 
Smart Columbus Executive Summary Overview
Smart Columbus Executive Summary OverviewSmart Columbus Executive Summary Overview
Smart Columbus Executive Summary OverviewSean Barbeau
 
Community Engagement with Open Government Data
Community Engagement with Open Government DataCommunity Engagement with Open Government Data
Community Engagement with Open Government DataData Portal India
 

La actualidad más candente (7)

Analysis and Design of an Application based on Open Data
Analysis and Design of an Application based on Open DataAnalysis and Design of an Application based on Open Data
Analysis and Design of an Application based on Open Data
 
Hobbit project overview presented at EBDVF 2017
Hobbit project overview presented at EBDVF 2017Hobbit project overview presented at EBDVF 2017
Hobbit project overview presented at EBDVF 2017
 
An Open Spatial Systems Framework for Place-Based Decision-Making
An Open Spatial Systems Framework for Place-Based Decision-MakingAn Open Spatial Systems Framework for Place-Based Decision-Making
An Open Spatial Systems Framework for Place-Based Decision-Making
 
Workshop Rio de Janeiro Strategies for Web Based Data Dissemination
Workshop Rio de Janeiro Strategies for Web Based Data DisseminationWorkshop Rio de Janeiro Strategies for Web Based Data Dissemination
Workshop Rio de Janeiro Strategies for Web Based Data Dissemination
 
FGP Open Group Paris 2016 Presentation FINAL - EN
FGP Open Group Paris 2016 Presentation FINAL - ENFGP Open Group Paris 2016 Presentation FINAL - EN
FGP Open Group Paris 2016 Presentation FINAL - EN
 
Smart Columbus Executive Summary Overview
Smart Columbus Executive Summary OverviewSmart Columbus Executive Summary Overview
Smart Columbus Executive Summary Overview
 
Community Engagement with Open Government Data
Community Engagement with Open Government DataCommunity Engagement with Open Government Data
Community Engagement with Open Government Data
 

Destacado

Media evaluation
Media evaluationMedia evaluation
Media evaluationflamingdodo
 
Urbanization meeting: a few points on innovation for urbanization for develop...
Urbanization meeting: a few points on innovation for urbanization for develop...Urbanization meeting: a few points on innovation for urbanization for develop...
Urbanization meeting: a few points on innovation for urbanization for develop...mlepage
 
S97 quadric-talk
S97 quadric-talkS97 quadric-talk
S97 quadric-talkkewuc
 
Media evaluation
Media evaluationMedia evaluation
Media evaluationflamingdodo
 
How2research
How2researchHow2research
How2researchkewuc
 
Trabajo de investigación estadistica
Trabajo de investigación estadisticaTrabajo de investigación estadistica
Trabajo de investigación estadisticaninoguz
 

Destacado (8)

Media evaluation
Media evaluationMedia evaluation
Media evaluation
 
Cpt Syllabus
Cpt SyllabusCpt Syllabus
Cpt Syllabus
 
Urbanization meeting: a few points on innovation for urbanization for develop...
Urbanization meeting: a few points on innovation for urbanization for develop...Urbanization meeting: a few points on innovation for urbanization for develop...
Urbanization meeting: a few points on innovation for urbanization for develop...
 
S97 quadric-talk
S97 quadric-talkS97 quadric-talk
S97 quadric-talk
 
Media evaluation
Media evaluationMedia evaluation
Media evaluation
 
How2research
How2researchHow2research
How2research
 
Camp magnètic
Camp magnèticCamp magnètic
Camp magnètic
 
Trabajo de investigación estadistica
Trabajo de investigación estadisticaTrabajo de investigación estadistica
Trabajo de investigación estadistica
 

Similar a Open data for development

Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Citadelh2020
 
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Gayane Sedrakyan
 
From open data to data-driven services
From open data to data-driven servicesFrom open data to data-driven services
From open data to data-driven servicesSlim Turki, Dr.
 
Syracuse open data presentation
Syracuse open data presentationSyracuse open data presentation
Syracuse open data presentationSam Edelstein
 
Opportunities and methodological challenges of Big Data for official statist...
Opportunities and methodological challenges of  Big Data for official statist...Opportunities and methodological challenges of  Big Data for official statist...
Opportunities and methodological challenges of Big Data for official statist...Piet J.H. Daas
 
Assess Your Organization's Digital Capability
Assess Your Organization's Digital CapabilityAssess Your Organization's Digital Capability
Assess Your Organization's Digital CapabilityTechSoup
 
Deployment strategies of Open Data Node focused mainly on pilots (2015-May)
Deployment strategies of Open Data Node focused mainly on pilots (2015-May)Deployment strategies of Open Data Node focused mainly on pilots (2015-May)
Deployment strategies of Open Data Node focused mainly on pilots (2015-May)Comsode - FP7 project
 
Mapping presentation THAG big data from space
Mapping presentation THAG big data from spaceMapping presentation THAG big data from space
Mapping presentation THAG big data from spaceBartosz Szkudlarek
 
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
EDF2012  Rufus Pollock - Open Data. Where we are where we are goingEDF2012  Rufus Pollock - Open Data. Where we are where we are going
EDF2012 Rufus Pollock - Open Data. Where we are where we are goingEuropean Data Forum
 
Designing a second generation of open data platforms
Designing a second generation of open data platformsDesigning a second generation of open data platforms
Designing a second generation of open data platformsYannis Charalabidis
 
Digital Government Today: International Perspective and Lessons for the Future
Digital Government Today: International Perspective and Lessons for the FutureDigital Government Today: International Perspective and Lessons for the Future
Digital Government Today: International Perspective and Lessons for the FutureRyan Androsoff
 
India unlocking the potential of Open Data
India unlocking the potential of Open DataIndia unlocking the potential of Open Data
India unlocking the potential of Open DataData Portal India
 
Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...
Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...
Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...dxw digital
 
Feed the Future indicators and the Africa RISING project mapping and monitori...
Feed the Future indicators and the Africa RISING project mapping and monitori...Feed the Future indicators and the Africa RISING project mapping and monitori...
Feed the Future indicators and the Africa RISING project mapping and monitori...africa-rising
 
Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...
Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...
Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...CambridgeshireInsight
 

Similar a Open data for development (20)

Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
 
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...
 
From open data to data-driven services
From open data to data-driven servicesFrom open data to data-driven services
From open data to data-driven services
 
Syracuse open data presentation
Syracuse open data presentationSyracuse open data presentation
Syracuse open data presentation
 
Opportunities and methodological challenges of Big Data for official statist...
Opportunities and methodological challenges of  Big Data for official statist...Opportunities and methodological challenges of  Big Data for official statist...
Opportunities and methodological challenges of Big Data for official statist...
 
Assess Your Organization's Digital Capability
Assess Your Organization's Digital CapabilityAssess Your Organization's Digital Capability
Assess Your Organization's Digital Capability
 
Deployment strategies of Open Data Node focused mainly on pilots (2015-May)
Deployment strategies of Open Data Node focused mainly on pilots (2015-May)Deployment strategies of Open Data Node focused mainly on pilots (2015-May)
Deployment strategies of Open Data Node focused mainly on pilots (2015-May)
 
Mapping presentation THAG big data from space
Mapping presentation THAG big data from spaceMapping presentation THAG big data from space
Mapping presentation THAG big data from space
 
Open Data Initiative India
Open Data Initiative IndiaOpen Data Initiative India
Open Data Initiative India
 
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
EDF2012  Rufus Pollock - Open Data. Where we are where we are goingEDF2012  Rufus Pollock - Open Data. Where we are where we are going
EDF2012 Rufus Pollock - Open Data. Where we are where we are going
 
Designing a second generation of open data platforms
Designing a second generation of open data platformsDesigning a second generation of open data platforms
Designing a second generation of open data platforms
 
Open Data Initiatives
Open Data InitiativesOpen Data Initiatives
Open Data Initiatives
 
Digital Government Today: International Perspective and Lessons for the Future
Digital Government Today: International Perspective and Lessons for the FutureDigital Government Today: International Perspective and Lessons for the Future
Digital Government Today: International Perspective and Lessons for the Future
 
India unlocking the potential of Open Data
India unlocking the potential of Open DataIndia unlocking the potential of Open Data
India unlocking the potential of Open Data
 
Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...
Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...
Ministry of Housing, Communities & Local Government (MHCLG) show + tell - spr...
 
Feed the Future indicators and the Africa RISING project mapping and monitori...
Feed the Future indicators and the Africa RISING project mapping and monitori...Feed the Future indicators and the Africa RISING project mapping and monitori...
Feed the Future indicators and the Africa RISING project mapping and monitori...
 
Open Data Packages
Open Data Packages Open Data Packages
Open Data Packages
 
Inti escem-tours2012-acs
Inti escem-tours2012-acsInti escem-tours2012-acs
Inti escem-tours2012-acs
 
Gift presentation
Gift presentationGift presentation
Gift presentation
 
Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...
Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...
Cambridgeshire Insight Open Data: What we’ve learnt from the unexpected - He...
 

Más de mlepage

Future of technology
Future of technologyFuture of technology
Future of technologymlepage
 
What could bots do for ADB
What could bots do for ADBWhat could bots do for ADB
What could bots do for ADBmlepage
 
Innovation for development in Africa
Innovation for development in AfricaInnovation for development in Africa
Innovation for development in Africamlepage
 
innovation and startups in african cities
innovation and startups in african citiesinnovation and startups in african cities
innovation and startups in african citiesmlepage
 
Youth Connekt presentation
Youth Connekt presentationYouth Connekt presentation
Youth Connekt presentationmlepage
 
Role of technology innovation in accelerating progress towards the UN 2030 ag...
Role of technology innovation in accelerating progress towards the UN 2030 ag...Role of technology innovation in accelerating progress towards the UN 2030 ag...
Role of technology innovation in accelerating progress towards the UN 2030 ag...mlepage
 
YouthConnekt presentation for West Africa youth camp
YouthConnekt presentation for West Africa youth campYouthConnekt presentation for West Africa youth camp
YouthConnekt presentation for West Africa youth campmlepage
 
Innovation for United Nations Ethiopia
Innovation for United Nations EthiopiaInnovation for United Nations Ethiopia
Innovation for United Nations Ethiopiamlepage
 
Technologies pour libérer le potentiel des jeunes
Technologies pour libérer le potentiel des jeunesTechnologies pour libérer le potentiel des jeunes
Technologies pour libérer le potentiel des jeunesmlepage
 
Foresight for UNDP Africa peace and development advisors workshop
Foresight for UNDP Africa peace and development advisors workshopForesight for UNDP Africa peace and development advisors workshop
Foresight for UNDP Africa peace and development advisors workshopmlepage
 
on innovation for/in public sector in Africa
on innovation for/in public sector in Africaon innovation for/in public sector in Africa
on innovation for/in public sector in Africamlepage
 
Innovation for the Public Sector in Africa
Innovation for the Public Sector in AfricaInnovation for the Public Sector in Africa
Innovation for the Public Sector in Africamlepage
 
Promoting entrepreneurship & innovation
Promoting entrepreneurship & innovationPromoting entrepreneurship & innovation
Promoting entrepreneurship & innovationmlepage
 

Más de mlepage (13)

Future of technology
Future of technologyFuture of technology
Future of technology
 
What could bots do for ADB
What could bots do for ADBWhat could bots do for ADB
What could bots do for ADB
 
Innovation for development in Africa
Innovation for development in AfricaInnovation for development in Africa
Innovation for development in Africa
 
innovation and startups in african cities
innovation and startups in african citiesinnovation and startups in african cities
innovation and startups in african cities
 
Youth Connekt presentation
Youth Connekt presentationYouth Connekt presentation
Youth Connekt presentation
 
Role of technology innovation in accelerating progress towards the UN 2030 ag...
Role of technology innovation in accelerating progress towards the UN 2030 ag...Role of technology innovation in accelerating progress towards the UN 2030 ag...
Role of technology innovation in accelerating progress towards the UN 2030 ag...
 
YouthConnekt presentation for West Africa youth camp
YouthConnekt presentation for West Africa youth campYouthConnekt presentation for West Africa youth camp
YouthConnekt presentation for West Africa youth camp
 
Innovation for United Nations Ethiopia
Innovation for United Nations EthiopiaInnovation for United Nations Ethiopia
Innovation for United Nations Ethiopia
 
Technologies pour libérer le potentiel des jeunes
Technologies pour libérer le potentiel des jeunesTechnologies pour libérer le potentiel des jeunes
Technologies pour libérer le potentiel des jeunes
 
Foresight for UNDP Africa peace and development advisors workshop
Foresight for UNDP Africa peace and development advisors workshopForesight for UNDP Africa peace and development advisors workshop
Foresight for UNDP Africa peace and development advisors workshop
 
on innovation for/in public sector in Africa
on innovation for/in public sector in Africaon innovation for/in public sector in Africa
on innovation for/in public sector in Africa
 
Innovation for the Public Sector in Africa
Innovation for the Public Sector in AfricaInnovation for the Public Sector in Africa
Innovation for the Public Sector in Africa
 
Promoting entrepreneurship & innovation
Promoting entrepreneurship & innovationPromoting entrepreneurship & innovation
Promoting entrepreneurship & innovation
 

Último

The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 

Último (20)

The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 

Open data for development

  • 1. United Nations Development Programme Open Data Marc Lepage Knowledge & Innovation advisor, UNDP regional center for Africa
  • 2. • What is open data? • Benefits of open data • Open data for … –Government –Aid efficiency –Development –Crisis information management • Challenges • What next? 2
  • 3. open data is “data that can be freely used, reused and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike”. 3
  • 4. Open • data freely available Accessible • data easy to use and re-use Searchable • data easy to find 4
  • 5. • 1 star: Available on the web (whatever format) but with an open licence, to be Open Data • 2 stars: Available as machine-readable structured data (e.g. excel instead of image scan of a table) • 3 stars: as (2) plus non-proprietary format (e.g. CSV instead of excel) • 4 stars: All the above plus, Use open standards from W3C (RDF and SPARQL) to identify things, so that people can point at your stuff • 5 stars: All the above, plus: Link your data to other people‟s data to provide context 5
  • 6. • Part of a broader move, including new Access to Information Policy • Builds on global Open Data initiatives • Aim is to stimulate use of development data to help solve development problems: –economic benefits (growth and job creation), –improved public services and –more transparent and accountable government 6
  • 7. Before… After… Subscriptions Free! Custom query tool New website, downloads, API Restrictions on use Minimal restrictions on use English +Spanish, French, Arabic, Chinese Not searchable Searchable Scattered datasets Data catalog 7
  • 8. • Users are encouraged to use the data. –extract, download, and make copies –Share with third parties. • Attribution • No Endorsement • No Association • No Warranties 8
  • 9. 9
  • 10. There are several flavors of open data, for instance open government data helps to make data held by governments accessible to both applications and end-users. 10
  • 11. Major examples of open government data include transport data (which has given cities like New York applications to show fastest routes on any day etc) and finance data (giving citizens visibility into how their money is spent). 11
  • 12. 1. Government should do the least possible and act as a Facilitator – Build a platform and let others add to it 2. Engage entrepreneurs in developing applications using government data through workshops and forums 3. Develop Application Programme Interface (API) to support web developers for your data 4. When more people are working on the data, innovation happens 12
  • 13. 1. Citizens are becoming data producers as well as data consumers. 2. Citizens are changing the political landscape by being more involved in the decision making process 3. Citizens are engaging other citizens to act through social networking tools 13
  • 14. 14
  • 15. 15
  • 16. • A client government wants to download and use HDR data into internal systems –In real time –Inexpensively –Without significant human overheads • An NGO in Botswana wants to follow UNDP‟s project portfolio in democratic governance • A researcher wants to combine UNDP‟s HRD data with data from a country‟s planning commission to analyze trends 16
  • 17. • A blogger wants to substantiate the opinion in her blog with data based charts (that update in real time) from the UNDP‟s project database • A UNDP staff member answers questions about UNDPs commitment to transparency • An independent application developer in Georgia wants to create a mobile application that tracks the flow of donor money to monitor election and help local civil society access the grants (case study here) 17
  • 18. 18
  • 19. 19
  • 20. 20
  • 21. 21
  • 22. 22
  • 23. 23
  • 24. 24
  • 25. 25
  • 26. IATI & UNDP: promotes efficiency and re-use: Worst of all Worlds 26
  • 27. IATI and UNDP: Promotes efficiency and re-use: Publish once, use often 27
  • 28. 28
  • 29. 29
  • 30. 30
  • 31. 31
  • 32. 32
  • 33. 33
  • 34. 34
  • 35. 35
  • 36. 36
  • 37. Lack of overall strategy The “Top Down” approach / culture Cultural barriers Legislation gap Context gap 37
  • 38. • Suggested approach: pilot under 3 criteria –Low cost (under $1000/month) –Fast –Low effort • 2 options: a) custom development, piggybacking on the HDR‟s API b) open data platform 38
  • 39. • Start with one data set we feel comfortable with • Test with stakeholders • Confirm features/functions/scalability • Learn from the experience • Identify more potential data sets • Continue evaluating other options (custom/platform) • Get ready for a larger launch 39
  • 40. • The pilot will only include one data set • (If needed) the pilot will include some basic design work required to make the pilot site attractive and user-friendly • The pilot can be live within a week of final approval to proceed • The pilot should ideally run for no more than 2-3 months • One of the goals of the pilot will be to understand what additional features/tools must be bundled with the service to maximize the value of the service to clients • The pilot will also help the team understand the technical parameters required to fully launch the service • The pilot will also consider what communication/community approaches will be most effective during the larger launch 40
  • 41. • OUTCOMES – Establish the governance processes and structures to support the larger launch – Resolve security, legal, data confidentiality, and other issues before the larger launch – Gain client/other stakeholder buy-in for the service – Establish the full bouquet of services that should be bundled with the final product – Work through a variety of „what‟s in it for me‟ client scenarios – Select a platform for the final launch 41
  • 42. Manual upload UNDP applications Open Data U N D P API Publish API Mobile applications User interface D A T A 3rd party applications Community In scope (pilot) Analytics Visualizatio Downloads n Filters/rollups GIS 42
  • 43. ISSUES STEPS Who is going to take the lead? KIC group to assist & offer for pilot What data can be included in this service (immediately, and in the long term) KIC group to consult internally What impact will the initiative have on our client relationships? Are there any pre-launch steps we need to take This will depend on the data sets we start with Can all open data services at UNDP be consolidated through the API that is being developed for HDR? HRD team and KIC group to consult What security clearances are required to launch this service Depends on the data set identified. Could be none. Double check with legal dept Who should manage the service? Which parts of UNDP should be involved KIC group What data management steps do we need to take to support the data requirements of the initiative (catalog, metadata, quality, more) Pilot will clarify Are there disclosure/copyright issues we should take into account? Depending on data sets. Consult with legal What about the quality of our data? Pilot will shed light into the possibility of feedback channel to get quality control from users Is there a resource constraint in terms of dealing with queries once the data is released? Use the pilot to get insights 43
  • 44. This is just the beginning……. Availability of data Accessibility Use of data Engage / change 44
  • 46. • http://www.od4d.org • http://openforchange.info • http://www.slideshare.net/yajitha • Open data group on Teamworks • Mark Cardwell, open data evangelist at UNDP • Giuilio Quaggiotto, all things innovation at UNDP 46

Notas del editor

  1. UN 2.0 – A transparent, open organization
  2. Data reuse means using data for purposes other than those it was collected for, including combining the data with other datasets. Redistribution means making the data available to other people. The data should be available in a machine-readable format, and available either free or at minimal cost (to cover the costs of reproduction etc if needed). Attribute means to acknowledge the original provider of the data, and sharealike means that any copy or adaptation of the data must be provided under the same or similar license as the original.
  3. Open data is also released in different formats, some of which are more difficult to use than others (believe me, scraping pdfs is *hard*). Tim Berners-Lee created the 5-star system for open data, to encourage data providers to release easier-to-use data:
  4. Here is USAID’s presentation of funding flows, not as current or as well-presented, but quite detailed.
  5. Our key partners are pushing hard for open reporting of financial information. Here is the UK’s aid agency showing where the money is going. Notice the reporting is delayed weeks, not months or years.
  6. Here is a visualization of UK development assistance. Notice the U.N. agencies.
  7. Notice where UNDP is on the scale 55m of a 5.6 billion spend.
  8. The MDTF has made a great step in showing funding flows….
  9. Call on donors to fund, CSO to do it. Virtuous circle better access, better data…….pretty soon we will have 80% of ODA