Africa Information Highway Live Exchange #Session 7 8 October 2021 The AIH Live Exchange between the Africa Information Highway Team, partners and countries is a free monthly webinar hosted by the African Development Bank to discuss topics related to government data and statistics. This webinar series is the main platform for countries to share their experiences and best practices around open data including using their Open Data Platform of the AIH. This session is co-organized with the Luxembourg Institute of Science and Technology (LIST) which is a mission-driven Research and Technology Organization (RTO) that develops advanced technologies and delivers innovative products and services to industry and society. These innovations can also be used to solve several societal challenges, particularly in the areas of the environment, security, education and culture, sustainable development, as well as the efficient use of resources. Official statistical data are recognized as high-value datasets for the society and economy, to enrich research, inform decision making or develop new products and services. The use of these authoritative data sources contributes to building a society with more empowered people, better policies, more effective and accountable decision-making, greater participation and stronger democratic mechanisms. Official statistics are produced to be used and re-used to make an impact on society through a higher degree of openness and transparency while ensuring confidentiality and, at the same time, providing equal access to information to citizens. The value of data lies in its use and re-use. In this interactive webinar, you will learn new techniques to improve the use and re-use of your statistical data, going beyond the provision logic and adopting the ecosystem mindset. You will: ● Sharpen your capacity at identifying and engaging users and re-users and stakeholders (data ecosystem mapping)? ● Effectively tackle technical and organizational barriers to stimulate data use and re-use? ● Smartly orchestrate a self-sustainable data ecosystem to increase the impact of statistical data. This session is an opportunity for Regional members countries to '' Sharpen their skills in making data used and re-used by developing an ecosystem mindset to effectively build sustainable community of users around their Open Data Platform thus promoting transparency and better decision-making”

1. Slim Turki, Dr.
Open data & Data Ecosystems
slim.turki@list.lu
October 6th, 2021
AIH Live Exchange #Session 7

2. Open Data release and re-use
▪ Data and Metadata quality
▪ Turning Open Data into services and public value
▪ Barriers, incentives, enablers
Data ecosystems orchestration
▪ Ecosystem thinking and modelling: identify and trigger
the uptake of data ecosystems
▪ Organizational and technical Governance
▪ Sustainability: Value creation and distribution, business
models, impact assessment
▪ Data flows: Increasing data-reuse beyond the original
purpose, new modes of data creation and exchange
BE-GOOD (Building an Ecosystem to Generate Opportunities
in Open Data, Interreg NWE, 2016-2022) Support cities, regions
and national authorities for data release, re-users engagement,
PPPs, innovative procurement, impact assessment.
ASTEROID (Data ecosystems for geospatial data, EC - Joint
Research Centre, 2019-2020) Identify and analyse successful
data ecosystems and address recommendations in support of
the implementation of data-driven innovation in line with the
European strategy for data.
Impact of open data in Luxembourg (2017 - 2019) Studies
for the Government of Luxembourg.
Share-PSI 2.0 (ICT-PSP, 2013-2016) Best practices for Public
Sector Information release in Europe.
Open Data for a Smarter Society
ODYSSEY
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3. Introduction
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Official statistical data recognized as high-value datasets for society and economy, to
enrich research, inform decision making or develop new products and services.
Data production and release come at a high cost
Not enough to generate public value
Inadequacy between offer and demand
Value creation from open data remains difficult to assess
Structure
1. Introduction to data ecosystems
2. Stakeholders mapping and engagement (Data ecosystem starter kit)
3. Recommendations for the establishment of sustainable data ecosystem

4. Provider: Provides open data
Enabler: Facilitates the supply or use of
open data
Enricher: Uses open data to enhance
existing products or services
Developer: Uses open data primarily for the
development of applications
Aggregator: Uses Open Data to gather
meaningful insights
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5. “The value of data lies in its use and re-use”
Ecosystem Thinking
Beyond data provision paradigm
Strategic move
Integrate other stakeholders’ perspectives
Starts with creating community around data
Disclaimer: No one-size-fits-all
Localized strategies and action plans
Learning by doing
Data Ecosystem
(or ‘data-driven digital
ecosystem’) is where a number
of actors interact with each
other and their environment for
a specific purpose, generating
value from the network by
producing, exchanging and
consuming data in a collectively
governed and operated way.
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6. NSO
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Public Sector
• Government departments
• Local Authorities
• Policy makers
• Emergency services
Private Sector
• Business and commerce
• Incubators and
accelerators
Journalists & Media
• Data journalism
Civil Society / NGOs
• Open Data communities
• Historically, a driving
force in advancing open
data agendas
Research, academia
and students
• Data users and suppliers
• Open Data research
Multilateral
organisations
• E.g. Development banks.
Citizens / General
public

7. Prioritize stakeholders, users and re-users
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Keep Satisfied
Inform + Consult
Engage Closely
Inform + Consult
+ Collaborate
Low High
High
Stakeholder Interest
Stakeholder
Influence
Minimal Effort
Inform
Show
Consideration
Inform + Consult

8. Stakeholder Engagement Continuum
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Monitor
• Pay attention to the
actions of stakeholders
• Through media scans,
internet searches, and
conversations with other
parties that may have
knowledge of their
actions or positions
• Logs analysis, within the
limits of privacy
protection rules
• Interactions on social
media
Message
• Create and target
messages toward
specific stakeholders.
• An invitation to respond
is typically not implied.
• Newsletters
• Posts on social media
• Press releases
• Publicity campaign
• Dedicated sections on
the portal for specific
stakeholders' groups
(e.g., SMEs)
Advocate
• Participate in activities
intended to enlist support
for a specific effort or
position where there is
an imbalance or
implication of
power/influence affecting
the relationship.
• With internal / external
sponsors: Policy makers,
journalists, supporting
organizations, etc.
Consult
• Solicit explicit feedback
or input on a project or
plan.
• Surveys (satisfaction)
• Published content rating
and commenting
Dialogue
• Initiate or participate in
two-way dialogue
focusses on mutual
learning and solutions.
• Can include co-creation
of new ideas.
• Discussion space on
data portals
• Organising events to
increase awareness and
interactions frequency.
• Data Literacy (lectures in
Universities or
organisations)
Collaborate
• Share work on common
objectives of the
organization and its
stakeholders.
• Can include co-creation
as well as co-
implementation of new
ideas.
• Partnerships,
Procurement, etc.
• Consolidated
relationship
Diagram inspired by https://www.bsr.org/en/our-insights/blog-view/a-guide-to-stakeholder-engagement-for-healthier-communities

9. Stakeholders' engagement
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Hackathons & Competitions
Useful for publicizing datasets, engaging stakeholders, rising awareness
Not for developing long-term collaboration, sustainable services, generating impact.
Problem-solving approach: Incubation, PPPs
Promoting data literacy among all stakeholders
Help users and re-users understand data, how to acquire data and how to apply data to specific needs.
Lectures in Universities / Internships: access to data hungry population, future practitioners, entrepreneurs.
Connect to local interest groups and communities of practice
Tutorials on data portals
Evidence-based decisions and policymaking
Covid-19 Dashboards
Sendai Framework for Disaster Risk Reduction
SDGs reporting

10. Better alignment between data demand
and offer
Identify barriers, incentives, enablers to re-use
released data
New use cases
Demonstrate measurable impacts
Identify and report (re-)use cases
Created services, jobs, business opportunities
Could be promoted on data portal
Enhance country visibility and
classification
Play a leading role
Influence the ecosystem general architecture
Consolidate reputation and trust
Develop formal / informal partnerships and
networks
Secure resources
Attract open data donors and investors
(providing finance, connecting stakeholders
(including the private sector), providing technical
assistance and knowledge transfer)
Motivation
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11. 11

12. Body of rules, procedures and practices that relate to the
way interactions between the actors are framed.
1. Identifying the most relevant actor(s) to embrace the
role of orchestrator depending on the nature and
evolution of the ecosystem.
2. Building a collaborative governance of the ecosystem
3. Clear consideration (roles, benefits, needs, means,
BMs) for all stakeholders ensure the willingness to
make the data ecosystem sustainable.
4. Importance of considering and aligning stakeholders'
different cultures.
5. Importance of stakeholder networks, to share good
practices, to benchmark initiatives, but also to provide
insights
Ecosystem Governance
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13. Technical enablers
Establishment of Sustainable data Ecosystems
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1. Creation of a platform provides a strong incentive to structure the ecosystem.
a. Choosing the platform architecture (tools and capacity) based on the specific features of the
ecosystem.
b. Aligning the data ecosystem with other components such as cloud and software ecosystems.
c. Integrating in the platform not only data but also services and even computational infrastructure.
d. Put the APIs at the core of the approach.
2. Data standardisation is an enabling condition to the emergence of data
ecosystems.
a. Suitable data and metadata models, standardised where possible.
3. Facilitate the access to disaggregated data, real time data and time series.

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Beyond the data provision paradigm, ecosystem thinking is a reliable approach to
understand and to steer the development of data ecosystems and to extract public
value from data
Data ecosystems rely on strategic vision and long-term engagements
Defining and integrating the relevant stakeholders enabling the success of the ecosystem.
Strong political and societal support facilitate the sustainability of the data ecosystem.

15. thank you contact information
For more info, please
contact us at
slim.turki@list.lu
linkedin.com/in/slimturki/