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Overall Objective

  • The Overall Objective of the Data Science Division is to use programming skills, Cyber Security, statistics knowledge, and machine-learning techniques to mine data sets for patterns used to analyze the past or even predict the future and develop visualizations to present conclusions from a modelling exercise.

Specific Objectives

  • Use Census  / Survey instrument to Design a template for data capture
  • Train staff on data capture using the designed template and capture data
  • Strengthen the traditional systems of data collection – including censuses, surveys and
  • Administrative records – as they remain essential in the national statistical system; make them more efficient by using new technologies and methods.
  • To process data from censuses and surveys emanating from both primary and secondary sources
  • Data cleaning and produce preliminary tables for data analysis
  • Deliver reproducible data analysis
  • Undertake preliminary analyses of data & discuss with report writers on variable outputs
  • Provide specifications for the procurement of IT equipment
  • Installation / Networking / Maintenance of all computers through Stats SL LAN
  • Discuss IT improvement with management to ensure timely delivery of results from censuses/surveys
  • To facilitate the provision of internet facility, management of Statistics Sierra Leone’s Website, Library and Printing sections are also key functions of DSD.
  • Develop and implement computer programs that allow computer applications and software programs to function properly.
  • Create and maintain Institutional Databases
  • Confirm program operation by conducting tests, modifying program sequence and/or codes.
  • Provide reference point by writing and maintaining user documentation or maintaining code comments or a help desk.
  • Protect institutional information confidentiality.
  • Ensure that programs designed are tested and thus produces the required or expected results by checking and fixing any coding or sequence errors (validation and verification) in the program.
  • Visualize indicators/outputs to enhance an understanding of key results
  • Embrace the data revolution by using new sources of data, adopting innovative methods for producing and using statistics, and forging partnerships with other data producer and user communities.
  • Support open data policies and the use of non-traditional sources of data, including through legal and regulatory reform; official data belong to everyone and should be open by default.
  • Promote data dissemination and statistical literacy programmes to spur the use of statistics; promote active user communities.

The division has three (3) sections and six (6) units as follows;

  1. Data Processing and Analysis Section
    1.  Data Capture /Entry Unit
    2.  Data Mining /Exploration & Analysis Unit
  2.  Information System Technology Section
    1.  Data Programming Unit
    2. Information Technology Unit
  3. Open Data / Data Revolution and Visualization Section
    1. Open Data Revolution Unit
    2. Data Visualization unit

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Theophilus Blaudfust

Director, Data Science Division

  Related Information

Divisional Organogram
Divisional Staff