and recommend to those in the official statistics domain? Ja - - PowerPoint PPT Presentation

C2G data partnerships: What can we learn from and recommend to those in the official statistics domain?

Ja Javier vier Car arranza, ranza, Fund ndació ación n Geoce

• censos,

nsos, Septiembre ptiembre 2018 18 ja javier vier.ca carran rranza@geocen za@geocensos.com sos.com @Geocensos Geocensos

about us

what we do values content

about us

what we do values content

about us

content values what we do

about us

content values what we do

Share our experience

We want to Bring Bring more da more data ta to to nat nation ional al stat statist istics ics

Outreach to communities Ru Runn nning ing a re real data ta revo volut lution ion

about us

What we do content

Data Gove vern rnance ance partnership tnerships s with non traditiona itional l act ctors rs Taking ing st stock ck of partnerships tnerships at the st statistical istical sc scene Reco comm mmend endatio ations ns to st streng ngthen then NGO’s capacities in the officia cial l st statis istics tics domain main

values

17 17.19 19 17 17.17 17

Encourage and promote effective public, public- private, and civil society partnerships, building on the experience and resourcing strategies of partnerships , Enhance the global partnership for sustainable development complemented by multi-stakeholder partnerships that mobilize and share knowledge, expertise, technologies and financial resources to support the achievement of sustainable development goals in all countries, particularly developing countries

17 17.18 18 17 17.16 16

By 2030, build on existing initiatives to develop measurements of progress

• n sustainable

development that complement GDP, and support statistical capacity building in developing countries By 2020, enhance capacity building support to developing countries, including for LDCs and SIDS, to increase significantly the availability of high-quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and other characteristics relevant in national contexts.

Partn rtnerin ering g for r the e Global al Devel velopme

• pment.
• nt. SDG17

17: : Buil ild Partn rtnershi erships ps

1 4 3 2

What at is the e Cape pe Tow

• wn

n Gl Global

• bal Ac

Action ion Plan an (CTGAP) GAP)

The e guid idan ance e that t this is Plan n pro ropose ses s is is n not re rest stri ricted cted only to capacit city buil ildin ing g to pro roduce e SDG in indic icators. tors.

Use of new data sources Support Capacity Building 2.3 Identify and remove barriers to the use of new data sources,

including registries and administrative data and other data from new and innovative sources, and coordinate efforts to incorporate them into mainstream statistical programmes through, inter alia, confidence- and trust-building measures, legal reforms, better funding and capacity building.

3.1 Increase the integ

egrat atio ion of data ta from different sources: surveys, administrative data and new source ces.

3.4 Promote the integr

egrat ation ion of moder ern n geospat spatia ial l informati ation

• n

management systems within mainstream statistical production programmes by highlighting synergies between the two systems. Encourage the use and adoptio ption n of techn hnolo

• logies

gies that at promote

• te

integr egrat ation ion of geospat patial al and stat atist istic ical al informatio ation.

Integrate new sources

How w CTGAP AP relates tes to no non n tradition ditional al data

Integrate Geospatial Sources

Source: Own Elaboration based on Cape Town Global Action Plan

Assure quality in new data sources

3.6 .6 Develop a comprehensive dat

ata a qua ualit lity y assuran urance ce frame mewor

• rk to be adopted by data producers, including

for new dat ata a source urces.

4.1 4.1 Develop effective communication and data

diss ssem eminati ation strate ategies gies and guidelines for public and private dialogue oriented to policy-makers, legislators, the media, the general public lic, the economy, etc.

5.1 5.1 Develop the institu

titutiona tional arran angem emen ents ts that are needed for public-private cooperation, including the use of data from non-official icial source ces, in accordance with the UN Fundamental Principles of Official Statistics.

Develop Communication with Public

How w CTGAP AP relates tes to no non n tradition ditional al data (2)

Cooperation with non official sources

Source: Own Elaboration based on Cape Town Global Action Plan

Share re of

• f dif

iffere erent nt kin inds s of

• f pa

partn rtners ers that at pr prov

• vid

ide e NSOs s non

• n tra

raditi ition

• nal

Sourc rces es for r Big ig Data a . 3 . 32 countri tries es 2013/20 /2014 14

0% 100% 0% 100% 0% 100% 0% 100% 0% 100% 0% 100%

13%

ACADEMIA

44%

GOVERNMENT

10,3%

INTERNATIONAL ORGANIZATION

51,7%

COMMERCIAL

10.3%

NGO

3.4%

OTHER

Source: UNSD and UNECE Survey on organizational context and individual projects of Big Data

Share re of dif iffer erent ent kin inds s of partn rtners ers that at pro rovid ide e NSOs s non tra radit itio ional nal Sourc rces es for r Big ig Data a . 3 . 32 countri tries es 2013/20 /2014 14 Type pe of

• f re

reso source rce pr prov

• vided

ided in in pa part rtnership nership

0% 100% 0% 100% 0% 100% 0% 100% 0% 100% 0% 100%

65,5%

DATA

17,2%

DATA AGREGATION

17,2%

DESIGN PARTNER

Source: UNSD and UNECE Survey on organizational context and individual projects of Big Data

17,2%

TECHNOLOGY PARTNER

44,8%

ANALYTICAL PARTNER

6,9%

OTHER

Civil vil Soci ciety ety Organ anizat izations ions or NGOs Busi usine ness ss compa pani nies Governme vernment nt (NSS S or NSO)

Busine iness

• cmpan

panie ies Govern ernmen t (NSS SS or NSO) O) Civil ivil Socie iety y Organizat anizatio ions

• r NGOs

Civic Data Alliance /Civic Apps For Greater Portland / Malaysian CSO- NGO contributed open data site / OpenSchools KG NSOs data on OSM GDB/ / A tu servicio in Uruguay/ NSO Data Portals Microsoft Open Maps team

• pen data on building

footprints in U.S. / Apple internal volunteer programme. Busine iness

• cmpan

panie ies Govern ernmen t (NSS SS or NSO) O) Civil ivil Socie iety y Organiza izatio ion s o

• r NGOs

Busine iness

• cmpan

panie ies Govern ernment (NSS SS or NSO) Civil ivil Socie iety y Organiza izatio ion s o

• r NGOs

Uwezo initia tiativ tive e in Uganda nda / P PEPFAR Popula lation tion-ba base sed d HIV impact ct asses essm sment ents s in CIV / OSM Stats ts Can /

People Budget NO/ Google Maps handicapped survey in Mexico / Mapbox and Mapillary applications (involving openstreetmap contributors) / Local Guides community Urban Dynamics and administrative records project at INE Chile DataMarket - Economic Census Comparison of Experian MKT data to UK ONS census data / Twitter Big Data project at INEGI Linkedin - Facebook - Google - AWS AI / BD / Database Management services

Data ta Gov

• verna

ernance ce pa part rtnersh nerships ips and d examp amples les of

• f initi

tiativ atives es

Uwezo ezo (meani eaning ng 'capabilit pability' y' in Kiswahi ahili li C2G G dp dp) uw uwezo.ne zo.net/ t/assess assessment ment/tools /tools

Ope penstreetmap nstreetmap / Stats ats Can n pa part rtnersh nership ip - Canada nada (C2G C2G dp dp) www.crow .crowdid.osmc id.osmcana anada. da.com com

A tu servi rvicio cio Por

• rtal

tal - Uru ruguay uay (G2C G2C dp dp) atuservi uservicio.uy cio.uy

1

Governments show a certain interest in data partnerships

2

Citizen statistical production is in its first stages and developing valuable experiences

3

Proactivity to support statistical activities goes from citizenry to governments rather than the other way around. Difference between monitoring and complementing data in the public scenario

4

CSO contributing with a broader range of tasks in the statistical production processes

5

NSS parties mostly involved in C2G, little involvement of NSOs.

6

More research is needed

7

Ins nsights ights and nd lesson sons

Our r ow

• wn con
• ntr

tribution: ibution: Stats ats Up p pr proj

• ject

ect

https ps:/ ://www.youtube.com /www.youtube.com/w /watch?v=9cfd atch?v=9cfdYdQH YdQHZVY&authu ZVY&authuser=1 ser=1

Rec ecommenda

• mmendations

tions fo for cap apacit acity buildin lding

OPTIMIZE ORGANIZATIONAL CAPACITY ARRANGEMENTS

1 2

STRENGTHEN FUNDING CAPACITIES

3

BOOTSTRAP TECHNICAL CAPACITIES AND SKILLS

Wha hat t do do NSOs Os thi hink nk abo bout ut all thi his?

• --> Wou
• uld

ld you

• u answer

wer ou

• ur su

r surv rvey? ey? ja javier vier.ca carran rranza@geocen za@geocensos.com sos.com

BIG QUESTION

Thanks!

C2G data partnerships: What can we learn from and recommend to those in the official statistics domain?

Insights and lessons to follow up the Cape Town Global Action Plan

Javi vier er Carranza, ranza, Fund ndac ación ión Geocen censos sos, , Sept ptiemb iembre 2018

Javier. vier.Car Carranza@ nza@Geocenso eocensos.com s.com @Ge Geocenso

• censos