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NITA-U Budget Framework PaperPresentation at the
National Dialogue on Open
Science Data
by
The National Information Technology Authority-Uganda
25th – 26th April 2018
Data sharing for development: a case of
Infrastructural development in Uganda
2
1. Introduction
2. The Infrastructure Data
Landscape
3. Benefits of Data Sharing
4. Barriers to Data Sharing
5. Strategic Realization
6. Questions
Presentation Outline
The Political, Economic, Social, Technological, Environmental and
Legal Transformation & Prosperity of a Nation Is dependant on
a deliberate effort to plan, develop, monitor and evaluate
Critical National Infrastructure (CNI).
Background
Assets that are
essential for the
functioning of a
society and
economy
Infrastructure data is generated by users of infrastructure,
the networks and their assets as well as the wider environment
(e.g. weather conditions) .
Data in the Infrastructure Sector
Types of Data
Infrastructure data sharing is the sharing of data between
organisations that originally created or collected the data
with others that seek to use or re-use it for a variety of purposes.
Data Sharing in the Infrastructure Sector
Data sharing is already well established across pockets of the infrastructure sector,
e.g. infrastructure owners and operators, regulators, retailers, researchers, third
parties
Internal Access Named Access
Group-based
Access
Public Access Open Access
Data Holder or owner
Operational Data
UNRA – Road
Maintenance ProgrammeCustomer Data
Explicitly Assigned
Fibre Network GPS
Coordinates
Via Authentication
Social Media Data
License that Limits use Open License
Closed Shared Open
Data Value Chain in Infrastructure
Digital Twin
An evolving digital profile of the historical and current
behavior of a physical object or process that helps
optimize business performance.
Digital Twin Aggregate Example
Digital Twin Construction
Digital Twin in Action
1. Digital Footprint –
from design, Devpt,
operation to end of
lifecycle of CNI
2. Location of the CNI
3. Health of CNI
4. Central Registry of
the CNI
Share CNI Data & Information BUT on a NEED TO
KNOW BASIS
Data can facilitate efficiencies, competition, innovation,
resilience and better use of networks, which in turn can generate
jobs, support exports and reduce harmful emissions.
Benefits of Infrastructure Data Sharing
Infrastructure Planning
and Resilience
Policy and
Regulatory
Security and
Privacy
Cultural
Commercial
Technical
 Insufficient skills in opening up data
sets
 Insufficient data quality and
Interoperability
 Non-standard Data Formats
 Legacy IT Systems
 Insufficient Legal and Policy
instruments to enforce Data Sharing
 Data Protection and Privacy
 Policy on Open Data
 Policy on Open Government
 Lack of approved and adopted
Guidelines on how to share
 Personal Data Issues
 Risk averse approach to data
security fears
 Systems security challenges
and evolving types of threats
 Consent depends on trust and
understanding benefits
 Siloed thinking
 Reputational concerns
 Lack of Focus on Data and its
benefits
Barriers
Barriers to Infrastructure Data Sharing
 Cost of curating and sharing
data
 Direct and wider benefits are
not understood and internalised
The impact is that data sharing is not occurring at the optimal level in Uganda to take advantage
of synergies, optimization and new technologies in infrastructure
Notwithstanding the significant potential benefits from
increased data sharing, there may be important risks and trade-offs
that any Government policy should consider to avoid harmful or
unintended consequences..
Potential Risks and Trade-offs
Promoting sharing of
data while respecting
privacy
Implementing
wider sharing of
data and
connected
ecosystems while
preserving
security
Maximising the
potential benefits
while avoiding
inefficient
investment
Multi-Institutional
Implementation/
Govt-Wide Approach
Policy and legal
regime put in place
(Policies,
Laws/Regulations,
Guidelines, etc)
Training and
sensitization
Technical
Infrastructure (Data
Sharing Platform –
e.g. National Digital
Twin, Standards, etc)
Smart Partnerships
and collaborations in
the implementation
of
Devt and
implementation of a
deliberate strategy
for Infrastructure
Sharing
What needs to be done?
THANK YOU – Q & A

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Data sharing for development: a case of Infrastructural development in Uganda/National Information Technology Authority-Uganda

  • 1. NITA-U Budget Framework PaperPresentation at the National Dialogue on Open Science Data by The National Information Technology Authority-Uganda 25th – 26th April 2018 Data sharing for development: a case of Infrastructural development in Uganda
  • 2. 2 1. Introduction 2. The Infrastructure Data Landscape 3. Benefits of Data Sharing 4. Barriers to Data Sharing 5. Strategic Realization 6. Questions Presentation Outline
  • 3.
  • 4. The Political, Economic, Social, Technological, Environmental and Legal Transformation & Prosperity of a Nation Is dependant on a deliberate effort to plan, develop, monitor and evaluate Critical National Infrastructure (CNI). Background Assets that are essential for the functioning of a society and economy
  • 5.
  • 6. Infrastructure data is generated by users of infrastructure, the networks and their assets as well as the wider environment (e.g. weather conditions) . Data in the Infrastructure Sector Types of Data
  • 7. Infrastructure data sharing is the sharing of data between organisations that originally created or collected the data with others that seek to use or re-use it for a variety of purposes. Data Sharing in the Infrastructure Sector Data sharing is already well established across pockets of the infrastructure sector, e.g. infrastructure owners and operators, regulators, retailers, researchers, third parties Internal Access Named Access Group-based Access Public Access Open Access Data Holder or owner Operational Data UNRA – Road Maintenance ProgrammeCustomer Data Explicitly Assigned Fibre Network GPS Coordinates Via Authentication Social Media Data License that Limits use Open License Closed Shared Open
  • 8. Data Value Chain in Infrastructure
  • 9. Digital Twin An evolving digital profile of the historical and current behavior of a physical object or process that helps optimize business performance.
  • 12. Digital Twin in Action 1. Digital Footprint – from design, Devpt, operation to end of lifecycle of CNI 2. Location of the CNI 3. Health of CNI 4. Central Registry of the CNI Share CNI Data & Information BUT on a NEED TO KNOW BASIS
  • 13.
  • 14. Data can facilitate efficiencies, competition, innovation, resilience and better use of networks, which in turn can generate jobs, support exports and reduce harmful emissions. Benefits of Infrastructure Data Sharing Infrastructure Planning and Resilience
  • 15.
  • 16. Policy and Regulatory Security and Privacy Cultural Commercial Technical  Insufficient skills in opening up data sets  Insufficient data quality and Interoperability  Non-standard Data Formats  Legacy IT Systems  Insufficient Legal and Policy instruments to enforce Data Sharing  Data Protection and Privacy  Policy on Open Data  Policy on Open Government  Lack of approved and adopted Guidelines on how to share  Personal Data Issues  Risk averse approach to data security fears  Systems security challenges and evolving types of threats  Consent depends on trust and understanding benefits  Siloed thinking  Reputational concerns  Lack of Focus on Data and its benefits Barriers Barriers to Infrastructure Data Sharing  Cost of curating and sharing data  Direct and wider benefits are not understood and internalised The impact is that data sharing is not occurring at the optimal level in Uganda to take advantage of synergies, optimization and new technologies in infrastructure
  • 17. Notwithstanding the significant potential benefits from increased data sharing, there may be important risks and trade-offs that any Government policy should consider to avoid harmful or unintended consequences.. Potential Risks and Trade-offs Promoting sharing of data while respecting privacy Implementing wider sharing of data and connected ecosystems while preserving security Maximising the potential benefits while avoiding inefficient investment
  • 18.
  • 19. Multi-Institutional Implementation/ Govt-Wide Approach Policy and legal regime put in place (Policies, Laws/Regulations, Guidelines, etc) Training and sensitization Technical Infrastructure (Data Sharing Platform – e.g. National Digital Twin, Standards, etc) Smart Partnerships and collaborations in the implementation of Devt and implementation of a deliberate strategy for Infrastructure Sharing What needs to be done?
  • 20. THANK YOU – Q & A