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


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Presented during Uganda Open Data/Open Science National Dialogue 25-26 April 2018.

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

  1. 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. 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. 3. 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
  4. 4. 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
  5. 5. 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
  6. 6. Data Value Chain in Infrastructure
  7. 7. Digital Twin An evolving digital profile of the historical and current behavior of a physical object or process that helps optimize business performance.
  8. 8. Digital Twin Aggregate Example
  9. 9. Digital Twin Construction
  10. 10. 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
  11. 11. 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
  12. 12. 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
  13. 13. 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
  14. 14. 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?
  15. 15. THANK YOU – Q & A