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Rajiv RanjanICT Advisor – National Institute of Statistics of Rwanda
Rwanda Open Data Readiness
@rajiv_r_in
OutlineObjective 1. Background
2. Methodology
3. Results
4. Value proposition
Sharing experiences of the Open Data Readiness Assessment and with emerging themes, prompt discussions on ways to manage issues around Open Data initiative in Rwanda through instruments such as Open Data Policy
5. Value chain
6. Milieu
7. Policy implication
Background
• 2013 | At the request of the Government of Rwanda, the World Bank has provided technical support to undertake an “Open Data Readiness Assessment” (ODRA) in Rwanda.
• June 10 – 16 , 2013 | The study was conducted by a join team of experts from the Government of Rwanda and the World Bank.
• A standard methodology applied across countries by the World Bank was used for the assessment.
• August 2013 | A report containing information and recommendations that may be used to implement an Open Data initiative in Rwanda is produced.
ODRA
Methodology
• The approach applied was holistic; comprising the “supply” and “demand” side of Open Data “ecosystem”.
• Eight dimensions of the Open Data ecosystem were evaluated taking into account the Rwandan context.
Ecosystem
1. Leadership
2. Policy/Legal Framework
3. Institutional structures & responsibilities within Govt.
4. Data within Govt. + Availability of key datasets
5. Demand for Open Data/Citizen engagement
6. Data user communities
7. Financing
8. National technology & skills infrastructure
Readiness
• Clear evidence of readiness
• Evidence of readiness is less clear
• Absence of evidence for readiness
• Insufficient information to assess readiness
Results
Public support for Open Data by highest political leaders is key
• Open Data Declaration• Continuous communication
Leadership
Key recommendations
Observations
1
Policy/Legal Framework
2
An effective Access to Information Law, clear policy and safeguards for protecting privacy of personal data and open license for data are key
• Open Data Policy
Observations
Key recommendations
Institutional structures & responsibilities within Govt.
3
Established inter-agency coordination, strong performance management and agencies with data management capacities exist
• Articulate clear roles for Open Data initiative
• A small, full-time team for Open Data initiative
• Initial training and awareness program on Open Data and data management for core officials who will be involved in execution and management of ODI
• Open Data focal points at all ministries and agencies
• Establish performance metrics for Open Data (national level and per ministry) and target milestones for release of key datasets
Observations
Key recommendations
Data within Govt. + Availability of key datasets
4
Greater publication of machine-readable data, less use of restrictive access and greater interoperability among MIS systems are essential.
• Release “data down payment” of high-value data
• Schedule release of high-value datasets (e.g., linked to EDPRS2)
• Ministries inventory their key datasets• Organize inter-agency group to
recommend (a) use of a shared GIS platform or (b) requirement of Open Data + APIs for all GIS systems at agencies
• Development of Open Data portal
Observations
Key recommendations
Data within Govt. + Availability of key datasets
4a
Unique identifiers (codes) for schoolsCompany registryCustoms dataTax revenues and fees collected (all levels of government)Kigali Master PlanGIS data for location of facilities (schools, health facilities, power/electricity infrastructure)GIS boundary dataGIS data on road networks (including feeder roads)GIS data on rice farms/productionGIS data on location of post harvest facilitiesGIS data on soil samples and elevations (plus soil data)Forestry / mineral / mining mapsIndustrial dataCrop productionCrop prices (real time and historical)Livestock production and veterinary dataCivil registryRegistries of cooperative and SACCOs (+ data on expenditures, micro-financing performance and inspections/ closures)Data on mobile usageData on mobile moneyLocation and coverage of mobile phone towersPublic salaries dataUnique identifiers for each province, district, cell and village
Citizen’s Report Cards (disaggregated data used for scoring)Public Procurement / government contract data (especially related to EDPRS2)Public expendituresHealth data (major diseases, maternal health, health infrastructure, registry of health facilities and pharmacies)Health data (performance-based financing; performance of health posts at cell level)Health data (HMIS data disaggregated by facility)Social protection maps for entire populationData on projects, spending and outcomes financed by Vision 2020 Umurenge Program (VUP)Land/property ownership and transactionsInspection data for consumer protectionElectricity production, investments and accessElectricity distributionWeather dataRoad accident data (for each incident)Crime data (per individual incident)Inspections data (telecom, electricity, water)Inventory of data collection supported by DPsInventory of trainings conducted / financed
Quick wins
Medium term
Demand for Open Data/Citizen engagement
5
Stronger evidence of data demand by civil society and media, more automated (less ad hoc) data sharing by agencies, and more public release of data requested are crucial
• Targeted capacity building & outreach activities for infomediaries
• Continuous data demand assessment
Observations
Key recommendations
Data user communities
6
Growth of data journalism, more mobile apps production and engagement by ministries in co-creation are key
• Using available or early release data, organize Apps Challenge/hackathons
• Design thinking exercises and development of initial sectoral dashboards using Open Data
Observations
Key recommendations
Financing
7
Rwanda’s ICT infrastructure is robust, but decisions on funding and technical/ management team for Open Data is also required
• Confirm initial “quick start” activities for Open Data and their expected budgets
• Confirm funding sources for “quick start” Open Data activities
• Confirm funding for small Open Data team (2-3 staff full-time)
• Identify funding for 1st hackathon focused on Open Data
• Identify funding for modest Apps Innovation fund
Observations
Key recommendations
National technology & skills infrastructure
8
Rwanda’s ICT infrastructure is more than adequate for Open Data initiative
• Data skills training for senior officials and district officials
• Data analytics training for data managers + researchers
• Develop training module(s) for specialized skills (emphasize mobile)
Observations
Key recommendations
Overall findings
1. Leadership
2. Policy/Legal Framework
3. Institutional structures & responsibilities within Govt.
4. Data within Govt. + Availability of key datasets
5. Demand for Open Data/Citizen engagement
6. Data user communities
7. Financing
8. National technology & skills infrastructure
The Government of Rwanda has important achievements that provide a strong foundation for building a high-impact Open Data initiative.
Value proposition
19
GOVERNMENT CITIZENS CIVIL SOCIETY PRIVATE SECTOR
Impact
Innovation & efficiency in government services
Empowered civil servants
Citizens participation and engagement
Government accountability & transparency
Value for the wider economy
Beneficiaries
Value chain
21
Generation
Aggregation + Processing
Distribution + Delivery
Use
Data lifecycle
Changing roles
Govt. Pvt. Sector Civil society
Platform
Producer
Interaction
Supplier
Action
Consumer
Producers /Users
Paving the way
Fostering data demand and use by the various actors.
Maintaining data quality in terms of accuracy, consistency, and timeliness
Continue identifying high-value, high-impact data
Generation
Aggregation + Processing
Distribution + Delivery
Use
Information
Services
Data
Knowledge
Understanding
Connectedness
Milieu
24
Rwanda ranked 3rd in Africa - in Open Data Barometer -2013
http://www.opendataresearch.org/content/2013/535/get-data-open-data-barometer-2013
Milieu
http://ombudsman.gov.rw/IMG/pdf/acces_to_information_law.pdf
http://www.minispoc.gov.rw/fileadmin/templates/Documents/cabinet-gor_records_management_policy.dochttp://www.statistics.gov.rw/sites/default/files/user_uploads/files/miscellaneous/Official_Gazette_no_Special_of_16.06.2013.pdf
Legal framework and policy environment
Records and Archives Management Policy
Law governing the organisation of statistical activities
Access to information law
Policy considerations
• Ethos: Unleashing the inherent social and economic value of data/information
• Impact: Transparency & accountability, connected government, innovation in government services, and value for the wider economy (Youth+ Entrepreneurship)
• Value chain: changing roles of actors and data lifecycle management
• Milieu: Legal framework and policy environment
Open Data Policy
- Interim General Manager for the City of Los Angeles, Information Technology Agency.
Thank you!
@rajiv_r_in