Global Data Barometer Home Page
  • About
    • Team
    • Partners
  • Research
    • Methodology
    • Countries and Themes
  • Results
    • Report
    • Open Data
  • FAQs
  • Feedback
  • About
    • Team
    • Partners
  • Research
    • Methodology
    • Countries and Themes
  • Results
    • Report
    • Open Data
  • FAQs
  • Feedback

Capability

Capabilities is one of the four pillars, or areas of assessment, of the Global Data Barometer and will be examined as a core module given its foundational importance across all aspects of data activity.

Having data available or having the right rules in place for governing data will not lead to significant public good if a country lacks the capability to create, manage, and use data effectively. Capabilities involve having the opportunity to do something of value and relate to issues of access, skills, infrastructure, institutions, and intermediaries. We also draw upon Gurstein’s notion of effective use.

Many of the capability indicators within the Barometer will draw on secondary data, although a number of primary indicators are also included.

To find out more about the development of this core module, you can consult our research handbook.

Capabilities primary indicators

  • Civil Service Training Data
  • Open Data Initiatives
  • Government Support for Data Reuse
  • Sub-national Data

Civil Service Training Data

To what extent is the government providing training to develop civil servants’ data literacy and data skills?
Existence
  • Is there evidence of government´s actions to train civil servants on data matters?
    • There is no evidence of government supporting civil servants training on data matters.
    • There is isolated evidence of government supporting civil servants training on data matters.
    • There is some evidence of government supporting civil servants training on data matters, as part of a planned and sustainable strategy.
    • There is widespread and regular evidence of government supporting civil servants training on data matters, as part of a planned and sustainable strategy.
Elements
Kinds of capacities:
  • Training delivered covers data frameworks and governance topics.
    • (No, Partially, Yes)
  • Training delivered to public servants covers topics on data gathering.
    • (No, Partially, Yes)
  • Training delivered covers data analysis, visualisations and storytelling techniques. 
    • (No, Partially, Yes)
  • Training delivered covers specific technical topics for data centred roles.
    • (No, Partially, Yes)
User groups:
  • Training on data addresses non-technical public servants.
    • (No, Partially, Yes)
  • Training on data is focused on specific positions already working with data.
    • (No, Partially, Yes)
Specific features:
  • Training is planned by an established training team, department, or agency.
    • (No, Partially, Yes)
  • Public servants receive a certification when taking a training so there is a formal recognition as a professional development.
    • (No, Partially, Yes)
Extent
  • How widespread, in terms of agencies and ministries, are the trainings assessed for this question?
    • The training assessed is available to one or more agencies or ministries, but there are many other agencies or ministries without such training.
    • The training assessed is representative of the kind of training that can be found for all, or most, agencies or ministries.
  • How widespread, in terms of jurisdictions, are trainings assessed for this question?
    • Assessed training involves sub-national or local public servants of one or more localities, but there are many other localities without such trainings.
    • Assessed trainings involve sub-national or local public servants, and are representative examples of the kind of trainings that can be found for all, or most, localities.
    • Assessed trainings involve national public servants.

Open Data Initiatives

To what extent is there a well-resourced open government data initiative in the country?
Existence
  • Has there been any form of government-led open government data initiative during the study period?
    • There is no evidence of any government-led open government data initiative in the country.
    • There has been a government-led open government data initiative, but there is limited evidence of recent activity.
    • There is evidence of an active government-led open government data initiative.
Elements
Specific features:
  • There is a government team in place supporting open data activities.
    • (No, Partially, Yes)
  • There is an allocated budget for open data activities.
    • (No, Partially, Yes)
  • There is a well-maintained open data portal.
    • (No, Partially, Yes)
  • There is guidance and support for government publication of open data.
    • (No, Partially, Yes)
  • Senior political leaders back the open data initiative.
    • (No, Partially, Yes)
Extent
  • How widely does this, or similar, open data initiatives apply?
    • The open data initiative covers only a limited part of the national government, or only covers one or more sub-national governments.
    • The open data initiative covers only a limited part of the national government, but there are similar initiatives for many other parts of government.
    • The open data initiative covers much of the national government, and there are similar initiatives in many sub-national areas.
    • The open data initiatives covers much of both national and sub-national government.

Government Support for Data Reuse

To what extent is there evidence that government is providing support for data reuse?
Existence
  • Is there evidence of a government strategy to support and encourage data reuse?
    • There is no evidence of government supporting and encouraging data reuse.
    • There is isolated evidence of government supporting and encouraging data reuse.
    • There is some evidence of government supporting and encouraging data reuse.
    • There is widespread and regular evidence of government supporting and encouraging data reuse, framed by a long-term strategy.
Elements
Kinds of capacities:
  • There is evidence of government efforts to support open government data reuse.
    • (No, Partially, Yes)
  • There is evidence of government efforts to support data reuse in a general sense.
    • (No, Partially, Yes)
  • There is evidence of government efforts to support private sector or NGO data reuse.
    • (No, Partially, Yes)
  • There is evidence of government efforts to support crowdsourced data reuse.
    • (No, Partially, Yes)
  • There is evidence of government efforts to support data reuse from various data topics.
    • (No, Partially, Yes)
User groups:
  • There is evidence of government efforts to support data reuse by civil society organizations.
    • (No, Partially, Yes)
  • There is evidence of government efforts to support data reuse by media.
    • (No, Partially, Yes)
  • There is evidence of government efforts to support data reuse by scholars and academic institutions.
    • (No, Partially, Yes)
  • There is evidence of government efforts to support data reuse by the private sector.
    • (No, Partially, Yes)
Specific features:
  • Government support for data reuse involves data challenges.
    • (No, Partially, Yes)
  • Government support for data reuse involves hackathons.
    • (No, Partially, Yes)
  • Government support for data reuse involves communication and community building efforts.
    • (No, Partially, Yes)
  • Government support for data reuse involves running information sessions on how to use particular datasets, or how to reuse government data in general.
    • (No, Partially, Yes)
  • Government support for data reuse involves the release of funding schemes.
    • (No, Partially, Yes)
Extent
  • How comprehensive, in terms of jurisdiction, is the coverage of the support assessed for this question?
    • Support is given in one or more localities, but there are many other localities without such support, or with support of a lesser quality.
    • Support is given in one or more localities and is a representative example of the kind of support that can be found for all, or most, localities.
    • Support assessed is at national level.

Sub-national Data

To what extent do city, regional, and local governments have the capability to effectively manage data?
Existence
  • To what extent do city, regional, and local governments have the capability to effectively manage data?
    • There is no evidence of capability to effectively manage data.
    • There is evidence of limited or ad-hoc capability to effectively manage data.
    • There is evidence of sustained and institutionalized capability to manage data.
Elements
Kinds of capacities:
  • There is evidence of local governments having open data initiatives.
    • (No, Partially, Yes)
  • There is evidence of local governments having current open data policies in place.
    • (No, Partially, Yes)
  • There is evidence of local governments having rules and or guidance in place to provide a comprehensive framework for data sharing.
    • (No, Partially, Yes)
  • There is evidence of local governments having rules and or guidance in place for consistent data management and publication.
    • (No, Partially, Yes)
  • There is evidence of local governments providing training to civil servants on data literacy and skills.
    • (No, Partially, Yes)
  • There is evidence of local governments providing support for data reuse.
    • (No, Partially, Yes)
Extent
  • How widespread are local capacities to effectively manage data?
    • No cities or regions show capacity to effectively manage data.
    • The examples given are exceptions: the majority of cities and regions do not have the capacity to effectively manage data.
    • The examples given represent common practice: many cities or regions have comparable capacity to effectively manage data.

Explore other modules

Core modules
  • Governance
  • Capability
Thematic modules
  • Climate Action
  • Company Information
  • Health & COVID-19
  • Land
  • Political Integrity
  • Public Finance
  • Public Procurement

Capabilities secondary indicators

  • Data institutions
  • Government online services
  • Use of standards and methods in statistic offices
  • Digital government
  • Digital skills
  • Knowledge-intensive employment
  • Human capital
  • Political freedoms and civil liberties
  • Internet access
  • Business use of digital tools

Data institutions

Capability (C): Data institutions
Source

World Bank – DGSS dataset: https://datacatalog.worldbank.org/dataset/digital-governmentgovtech-systems-and-services-dgss-dataset

Questions:

-Is there a government entity in charge of data governance or data management?

-Is there a data protection authority?

Download source dataset
Data transformation by GDB

-Normalize values to 0-1 scale

-Replace missing values with subregional mean

-Combine metrics (avg)

-Match countries

Explore notebook with data process

Government online services

Capability (C): Government online services
Source

UN E-Government Survey: https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2020-Survey/2020%20UN%20E-Government%20Survey%20(Full%20Report).pdf

UN eGov Online Service Index (2020)

Download source dataset
Data transformation by GDB

-Match countries

-Replace missing values with subregional mean

Explore notebook with data process

Use of standards and methods in statistic offices

Capability (C): Use of standards and methods in statistic offices
Source

Statistical Performance Indicators: https://datanalytics.worldbank.org/SPI/

Dimension 5.2: Standards and Methods

Download source dataset
Data transformation by GDB

-Replace missing values with subregional mean

-Match countries

Explore notebook with data process

Digital government

Capability (C): Digital Government
Source

World Bank – DGSS dataset: https://datacatalog.worldbank.org/dataset/digital-governmentgovtech-systems-and-services-dgss-dataset

Questions:

-Is there a DG/GovTech Strategy?

-Is there a dedicated GovTech institution

-Is there a national strategy on disruptive technologies?

-Is there a government cloud (shared platform)?

-Is there a government service bus / interoperability platform in place?

Download source dataset
Data transformation by GDB

-Normalize values of 5 metrics to 0-1 scale

-Combine metrics (avg)

-Replace missing values with subregional mean

-Match countries

Explore notebook with data process

Digital skills

Capability (C): Digital skills
Source

WE Forum: http://reports.weforum.org/global-competitiveness-report-2019/executive-summary-2/

Digital skills among active population (score)

Download source dataset
Data transformation by GDB

-Normalize into 0-1 scale

-Replace missing values with subregional mean

-Match countries

Explore notebook with data process

Knowledge-intensive employment

Capability (C): Knowledge-intensive employment
Source

Global Innovation Index: https://www.globalinnovationindex.org/analysis-indicator

ILO: https://www.ilo.org/shinyapps/bulkexplorer55/?lang=en&segment=indicator&id=EMP_TEMP_SEX_OCU_NB_A

Employment in knowledge-intensive occupations (% of workforce)

Download source dataset
Data transformation by GDB

-Normalize 0-100 scale to 0-1 scale

-Replace missing values with subregional mean

-Match countries

Explore notebook with data process

Human capital

Capability (C): Human capital
Source

UN E-Government Survey: https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2020-Survey/2020%20UN%20E-Government%20Survey%20(Full%20Report).pdf

UN eGov Human Capital Index (2020)

Download source dataset
Data transformation by GDB

-Replace missing values with subregional mean

-Match countries

Explore notebook with data process

Political freedoms and civil liberties

Capability (C): Political freedoms and civil liberties
Source

Freedom House: https://freedomhouse.org/report/freedom-world

Download source dataset
Data transformation by GDB

-Sum metrics scores

-Normalize values from 0-100 scale to 0-1

-Replace missing values with subregional mean

-Match countries

Explore notebook with data process

Internet access

Capability (C): Internet access
Source

ITU: https://www.itu.int/en/ITU-D/Statistics/Pages/publications/wtid.aspx

Metrics used:

-Fixed broadband basket as a % of GNI p.c.

-Individuals using the Internet, total (%)

Download source dataset
Data transformation by GDB

-Replace outliers

-Normalize values into 0-1 range

-Match countries

-Replace missing values with last available data from period 2016-2020, if no date with subregional mean

-Compute metric as average of normalized values

Explore notebook with data process

Business use of digital tools

Capability (C): Business use of digital tools
Source

WE Forum: http://reports.weforum.org/global-competitiveness-report-2019/executive-summary-2/

Bussiness use of digital tools

Download source dataset
Data transformation by GDB

-Rescale data from 0-100 to 0-1 range

-Match countries

-Replace missing values with subregional mean.

Explore notebook with data process
Explore the results for this module

Copyright 2025. All rights reserved.