Data science.

Research area 02 of 06

Statistics, surveys and methods that turn the national ICT record into figures people can trust.

Join this area Meet the groups

3 groups · 13 members · All six areas

3 groups. One area.

Each group follows one research question, led by a principal investigator, with each member’s part in the work named in the standard contributor roles.

Sample groups, members and contact details, shown while the first groups form.

Active

Survey Methods Unit

Small-area estimates of internet use for all 15 counties

Combining household surveys with administrative data to give every county a reliable figure, with its margin of error beside it.

  • Survey sampling
  • Small-area estimation
  • Official statistics
Field (OECD FORD)
1.1 Mathematics
SDG target
17.18 · High-quality, timely and reliable data
Standards
UN Fundamental Principles · DDI
Members
5, led by Prof. Samuel Tarr

Members

Active

Open Data & FAIR Practice

Making NIIS indicators findable, accessible, interoperable and reusable

Writing the metadata, identifiers and open licences that let anyone reuse the national indicators with confidence.

  • Metadata
  • SDMX
  • Open data
Field (OECD FORD)
1.2 Computer and information sciences
SDG target
17.18 · High-quality, timely and reliable data
Standards
FAIR · ISO 17369 (SDMX)
Members
4, led by Dr. Martha Karpeh

Members

Recruiting

Data Literacy Lab

Helping county officers read and use ICT indicators

Designing short courses and plain charts, then measuring whether officers use the figures in their own planning.

  • Data literacy
  • Visualization
  • Capacity building
Field (OECD FORD)
5.3 Educational sciences
SDG target
4.4 · Relevant skills, including ICT skills, for youth and adults
Standards
UN Fundamental Principles
Members
4, led by Dr. Benedict Tokpa

Members

The standards we work to.

Research in data science follows the published international standards below, so its methods and results can be compared and trusted anywhere.

  • UN Statistical Commission, 1994

    Fundamental Principles of Official Statistics

    Ten principles for impartial, professional official statistics, endorsed by the UN General Assembly in 2014.

  • Wilkinson et al., 2016

    FAIR Guiding Principles

    Data that are findable, accessible, interoperable and reusable.

  • ISO 17369:2013

    SDMX, Statistical Data and Metadata eXchange

    The international format for sharing statistics and their metadata.

  • DDI Alliance

    Data Documentation Initiative

    The metadata standard for documenting surveys and their data.

Across every group

  • ANSI/NISO Z39.104-2022

    CRediT, Contributor Roles Taxonomy

    Each member’s part in the work, named in the fourteen standard roles.

  • OECD, Frascati Manual 2015

    Fields of Research and Development

    The international classification each group is filed under.

  • United Nations, 2015

    Sustainable Development Goals

    Each group names the SDG target its work serves.

  • World Conference on Research Integrity, 2010

    Singapore Statement on Research Integrity

    Honesty, accountability, professional courtesy and good stewardship in research.

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