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Empowering National Statistical Offices: Policy Framework for Data Collection in Uganda

The proposed policy document aims to empower the National Statistical Office (NSO) in Uganda to enhance data collection through structural support, training, quality assurance, and data validation. It outlines essential components, including the establishment of designated roles within governance structures, identifying training needs, and emphasizing collective responsibility among stakeholders. The document emphasizes the importance of clear data collection methods, robust tools, and internal checks to maintain data integrity. Collaborative efforts are vital for agreeing on indicators and ensuring effective governance through accurate statistical data.

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Empowering National Statistical Offices: Policy Framework for Data Collection in Uganda

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  1. INTERNAL ORGANIZATION DorcasNabukwasi H Uganda Bureau of Statistics 29th April, 2013 Dakar

  2. POLICY Document There is need for a policy document that empowers NSO to collect Data. This can be in form of a statistical act.

  3. outline • STRUCTURES • TRAINING • BENEFITS • QUALITY ASSURANCE • DATA VALIDATION

  4. Structure • The GPS should fit with the institutional structures to enable its growth • There should be a designated officer directly responsible for this set of statistics

  5. Training • Identify the training needs at institutional level, this was done during the data mapping exercise • The training was conducted using a phased approach • Out source of technical person in various governance themes was done. These presented as Guest speakers during the training

  6. Training benefits • Encourage open ness during the training and the urgent governance needs for the country. • This would form the plat form for prioritizing the indicators • Emphase collective responsibility for all the stakeholders • Ownership and support is emphased during the training

  7. Quality assurance • The method of data collection should be clear • Tools and metadata should be well done • Computing standard errors for primary source data is a good way of checking reliability • The standard for collecting the information should be known with the entire governance group. This can be a module during the training • Establish checks for different indicators. This is usually presented in the manual of instructions

  8. Data validation • This should be a collective effort, all members need to agree on the indicators to be considered. • Develop checks for internal consistencies

  9. THANK YOU!

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