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Data for better lives
A solution for Lesotho
Author: T. Monyatsi
Developing data literacy
• Senior government officials training on data use for decision support on
quarterly basis
• Use of data for planning, policy and accountability
• Creating demand for data
• Recruiting strong political champions
• Creating incentives to recognize and reward data practice culture
• Data safeguards for personal and non-personal data
Functional Autonomy
• Establish and strengthen support structures/organizations to focus on
specific areas of data management (governance, policy, statistics, security, etc)
• Improve coordination of functions through openness, access, participation,
and adoption of compatible standardized data services(data pools, data clubs,
data cooperatives and data trusts)
Data Infrastructure Policy
• Development of a reliable national data infrastructure to close the usage and
consumption gaps of data (Internet Exchange Point; colocation data centers;
cloud on ramps; cloud platforms)
• Data policies, laws and regulations for safeguard review on personal and
non-personal data to enable trust
• Finances and intellectual capital
• Ensuring equitable access for the poor people and countries
Benefits of public and private intend data
• Improved service delivery
• Prioritization of scarce resources
• Provide 3G coverage – data usage and consumption
Tools and techniques
• A maturity model
• Statistical development strategy
• Data strategy
• Integrated National Data Systems (INDS)
• National Statistical System (NSS)
• Statistical Performance Indicator (SPI)
Data for Better Lives

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A proposed solution for changing the development landscape

  • 1. Data for better lives A solution for Lesotho Author: T. Monyatsi
  • 2. Developing data literacy • Senior government officials training on data use for decision support on quarterly basis • Use of data for planning, policy and accountability • Creating demand for data • Recruiting strong political champions • Creating incentives to recognize and reward data practice culture • Data safeguards for personal and non-personal data
  • 3. Functional Autonomy • Establish and strengthen support structures/organizations to focus on specific areas of data management (governance, policy, statistics, security, etc) • Improve coordination of functions through openness, access, participation, and adoption of compatible standardized data services(data pools, data clubs, data cooperatives and data trusts)
  • 4. Data Infrastructure Policy • Development of a reliable national data infrastructure to close the usage and consumption gaps of data (Internet Exchange Point; colocation data centers; cloud on ramps; cloud platforms) • Data policies, laws and regulations for safeguard review on personal and non-personal data to enable trust • Finances and intellectual capital • Ensuring equitable access for the poor people and countries
  • 5. Benefits of public and private intend data • Improved service delivery • Prioritization of scarce resources • Provide 3G coverage – data usage and consumption
  • 6. Tools and techniques • A maturity model • Statistical development strategy • Data strategy • Integrated National Data Systems (INDS) • National Statistical System (NSS) • Statistical Performance Indicator (SPI)