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1. Foundational Infrastructure Inventory (Foundational Digital and Data Infrastructure)

Section 1:

Develop policy framework conducive to investment and competition

Deploy/extend digital infrastructure

Develop plan to coordinate infrastructural roll-out (electricity and telecoms)

Promote service-based competition through coordinated sectoral, competition, and information (data) regulators

Objectives

Infrastructure development framework in place1

A. Ministerial policy formulation expertise (multidisciplinary - economic, legal, engineering) for digital and data infrastructure

Systems, resources, and processes are at minimum or non-existent

Systems, resources, and processes are in place, yet selected areas have ongoing weaknesses

Systems, adequate resources, and viable programs with room for strengthening

Well-developed and well-functioning systems, adequate resources, and viable programs

B. Statistical expertise (e.g., specialised digital expertise in national statistical office that can be shared with Ministry/regulator)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Technical/engineering expertise in network and services regulation (digital and data markets specialisation)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

D. Infrastructural/regulatory/competition economic regulatory expertise

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

E. Legal expertise to draft regulations, litigation capacity

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

F. Cross-sectoral regulatory capacity to deal with new business models and technologies (Over-the-Top services (OTTs), next-generation networks, platforms)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

1. Foundational Infrastructure Inventory (Foundational Digital and Data Infrastructure)

Section 2: Deploy data infrastructure (assets, technology, people, institutions required to improve operation and consumption) Develop national information infrastructure

This should take into account at least the following factors: % Mobile Coverage (geographic/population); kms of fibre rolled out (backhaul/transmission networks); set up of national and regional IXPs; penetration (percentage of population using/ownership to broadband services/device); national data warehouse capacity (access); pricing/affordability (10MBs < 2% of GNI); platform growth - platforms/number of subscribers. See Digital Transformation Strategy 2020.

Objectives

Regulation of standards in alignment with agreed common continental standards

Contractual standards are created for public organisations and SMEs to access, retrieve, and delete data that is processed by cloud providers

FRAND licensing obligations for platform/cloud provider are in place

A. Legal, technical, engineering, economic capabilities for policy formulation and regulation of data infrastructure

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Economic, business legal technical and engineering capabilities for private provisioning of cloud services, data warehouses, big data analytics

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

1. Foundational Infrastructure Inventory (Foundational Digital and Data Infrastructure)

Section 3: Deploy national digital ID system

Objectives

Operational national digital ID system in line with continental standards

A. Technical, legal, economic capacity to design or commission digital ID in line with continental standards

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Data Markets Inventory)

Section 1:

Define data market

Catalogue data assets

Prioritise data initiatives

Objectives

Data assets well catalogued

Clear data initiatives are adapted

Compliance with data protection requirements

A. Expertise in big data management (i.e., computer data scientists, policy planners, public statistics)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Specialised capacity in data protection and privacy

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Cross-sector Policies Inventory)

Section 2: Competition policy

Objectives

Routine collaboration between regulatory institutions

Updated definitions and terms are used in analyses and findings by regulator

A. Specialised expertise in data competition policy

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Cross-sector Policies Inventory)

Section 3: Innovation policy

Objectives

All data except personal data used in research and publication is open by default with exceptions requiring reporting to national research authorities

Software from universities or written for use by government is open source

Data and innovation policy aligned

A. Expertise on role of data in innovation/intellectual property

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Open data/data sharing expertise

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Open source software capacity particularly in the private sector

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

D. Open source and open data licensing expertise

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

E. To coordinate data and innovation policy aligned to regional objective

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Cross-sector Policies Inventory)

Section 4: Trade Policy

Objectives

African caucus formed representing African interests in trade negotiations on digital and data products and services

A. Understanding of role of data in digital economy embedded in government trade department

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Understanding of the nature and value of data (i.e., how value is created using data)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Cross-sector Policies Inventory)

Section 5: Taxation Policy

Objectives

Substantial tax revenue from digital goods/services and enterprises

Effective Africa Member State participation in an African caucus at international negotiations of taxation regime (e.g., BEPS).

A. Public sector research capacity on tax and data flows

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Creating Private Value)

Section 6: Create environment for investment in private data creation and curation

Objectives

Open data standards for public data are also used by the private sector A. Data engineers and scientists AU DATA POLICY

Increased number of public-private collaborations

Compliance with data protection requirements

An increase in cross-border data flows

A. Data engineers and scientists

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Economists and statisticians

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Legal/trade specialists

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

D. Enabling environment for entrepreneurial activity, SMEs, start-ups

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Creating Private Value)

Section 7: Ensure the quality and relevance of private data collected

Objectives

Private sector data is relied on and used by businesses institutions and agencies and is of the highest quality

A. Big data analytics expertise (i.e., data engineers and data scientists to inform any regulation that impacts on data ecosystem)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Private technical capacity on data access/quality/ethics

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Creating Private Value)

Section 8: Incentivise private sector to create jobs and build capacity

Objectives

Private sector data stewards are equipped with the necessary tools

Incentives are in place to stimulate job creation and skills development

A. Data stewards, managers, controllers

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Macro economists

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Human resource/education specialists

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Creating Public Value)

Section 9: Curate public data

Objectives

Open data standards policy developed

Open data standards for public data are used by government agencies

A. Data engineers and scientists to develop and implement open standards for public and private sector

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Data policy for public sector to ensure integration, interoperability, and access to quality data

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Creating Public Value)

Section 10: Build public sector capacity

Objectives

Public value creation

Public sector data stewards are wellequipped with the necessary tools

There is adequate human resource capacity

A. Public sector data stewards, manager and controllers

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Clear organisational design, standardisation of processes, and monitoring and evaluation mechanisms

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

2. Data Value Creation and Markets Inventory (Creating Public Value)

Section 11: Ensure quality and relevance of public sector data

Objectives

Public sector data is relied on by external agencies and international intergovernmental organisations as highest quality data available

Data quality assessments periodically carried out

A. Public research capacity on data access, quality, governance

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Data engineers and scientists working in the public sector

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 1: Collaborate with regional and global governance processes

Objective

AU and REC agreements and policies legitimate and trustworthy

A. Access to expertise to enforce rights-preserving data policies

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 2: Create consultative and evidence-based regulations for dynamic and adaptive global systems

Objective

Regulations supported as appropriate by most stakeholders

Consultation and participatory policy and administrative actions by authorities take place

A. Research capacity for evidence-based data policy and regulation

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Impact assessment capacity

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. For developing and testing regulatory sandboxes/testbeds

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 3: Enhance cyber security for data creation, processing, storing, and sharing

Objective

Cyber maturity assessment results are clear, actionable and evidence-based

Cyber security strategy developed through a multistakeholder consultation and is adopted

Cyber security strategy informs roles and responsibilities of institutional arrangement

Institutional arrangement is capacitated

A. Research capacity to conduct a cyber maturity assessment

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Capacity for drafting cybersecurity policy and strategy

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. For coordination and communications

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

D. A cyber incident response team (CIRT) (i.e, for rapid response in case of breaches)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

E. Security agencies with expertise in data policy who are able to integrate data policy in their processes

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

F. Legal capacity to safeguard human rights in cybercrime enforcement

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 4: Prosecute crime against confidentiality, integrity and availability of data and information

Objective

Cybercrime legislation is adopted

Law enforcement and judges are able to investigate and prosecute cybercrime

A. Law enforcement and cybercrime regulator understanding of data policy

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Capacity to respect, protect and fulfil human rights in cybercrime enforcement

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 5: Data protection (personal data protection)

Objective

Up-to-date personal data protection law in force

A. Data expertise in authority/regulator

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Access to data expertise for law-making

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 6: Data regulator

Objective

Enforcement of and compliance with data authority rulings are widely followed

Data authority decisions subject to rule of law through legal review

A. Expertise in dispute resolution and enforcement

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Institutional capacity for cross-border cooperation

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Institutional capacity for inter-agency cooperation (powers defined and resources budgeted for)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 7: Data innovation (IP)

Objective

Copyright, patent legislation and trade secret for laws enable free use of data, especially for computer research

A. Expertise on data supportive amendments for lawmakers

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Capacity to align legislation with AfCFTA protocols

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 8: Data justice

Objective

All data regulations and regulatory actions respect, protect human rights and enable socio-economic rights (social and economic justice)

A. Expert capacity for courts to deal with data issues (including friend of court briefs)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Economic regulation capacity to enable data access, flows, control, open data, quality, interoperability

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 9: Data ethics

Objective

Data ethics (ethics-by-design) guidelines approved and implemented and supported by communities affected by data practices

A. Consultative processes to inform the development of ethics in data practice and design

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Consultative processes/mechanisms to receive feedback on the impact of ethical codes and practices

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 10: Competition regulation

Objective

Autonomous, empowered authority with specialised knowledge of globalised data and adjacent markets, anti-competitive impact on national markets, and active in regional and global competition (anti-trust) issues for collaborative enforcement

A. Expertise in data competition issues

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Expertise in dynamically efficient systems (complex, adaptive international data systems)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Institutional capacity for cross-border cooperation

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

D. Institutional capacity for inter-agency cooperation

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

3. Legitimate and Trustworthy Data Systems (Legitimate and Trustworthy Data Systems Inventory)

Section 11: Consumer protection

Objective

Empowered and capacitated protector active on data issues

A. Expertise on data issues in consumer protector

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Institutional capacity for cross-border/global cooperation

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Institutional capacity for inter-agency cooperation

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

4. Data Standards and Data Categorisation Inventory (Data Categorisation)

Section 1: Create framework for regulatory and statutory compliance in accordance with continental/regional frameworks (+ focus on data-related fundamental rights and transparency)

Objective

Integrated data system consistent with continental/regional standards

A. To categorise data to support data stewardship, security and safety, risk management, legal discovery and regulatory compliance

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Set Safety and security standards for specific data categories

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Categorisation -such as communities

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

4. Data Standards and Data Categorisation Inventory (Data Categorisation)

Section 2: Develop technical standards that are consistent with continental/regional frameworks (+ focus on technical characteristic of data)

Objective

Technical standards categories of data aligned with continental/regional technical standards

Standards are in place for safety and security, open data and data sharing for national and cross-border purposes

A. Expertise t-Set technical standards for types of data aligned to continental / Regional technical standards

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Capacity to establish an open data regime for non-personal and personal data in public sector (accessible, quality, manipulatable), including use of open data licensing

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Expertise to develop standards for models, words, identifiers, taxonomies, file formats, schemas, data transfer, data types, codes of practice, units and measures, and data collection

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

4. Data Standards and Data Categorisation Inventory (Data Categorisation)

Section 3: Consider socio-cultural and operational responsibilities (+ focus on non-technical and non-regulatory data-related practices)

Objective

Mass public awareness of data self-management including data protection and cybersecurity (See: Digital Transformation Strategy 2020)

A. To raise awareness of data subject safeguards and system hygiene

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. To enable alternative forms of data stewardship and consent

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. To support privacy enhancing technologies (PETs)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

4. Data Standards and Data Categorisation Inventory (Data Categorisation)

Section 4: Identify risk mitigation standards (+ focus on data security and data access regulatory and non-regulatory aspects)

Objective

Confidential, secret or sensitive data identified by category

Security standards are in place

A. Capacity to develop open data standards and practices

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. To develop standards to ensure safety and security of data subjects and systems

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

4. Data Standards and Data Categorisation Inventory (Data Categorisation)

Section 5: Develop corporate policies or voluntary criteria (+ focus on parameters adopted under company policies and self-adopted constraints or criteria)

Objective

Develop through multistakeholder process corporate/industry/sector guidelines for data management in place

A. Expertise in management of multistakeholders public processes and in corporate governance to develop facilitate the development of accessible and understandable processes for queries and complaints for customers/data subjects

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

4. Data Standards and Data Categorisation Inventory (Open Data Standards and Data-sharing Initiatives Inventory)

Section 1: Develop standards for what data can be shared and the means by which it can be shared

Objective

Open data regime for non-personal and personal data in public sector (accessible, quality, manipulatable) established

Progress on implementation and use of open data

A. Expertise in understanding global standards of open data practises

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

4. Data Standards and Data Categorisation Inventory (Data Skills Inventory)

Section 1: Increase data skills

Objective

Data literacy integrated into school curricula and widely available

Data analysis skills at tertiary level available to all qualifying graduates

Online e-skills development programme to provide basic knowledge and skills in security and privacy in digital environment to 100 million Africans a year by 2030, and 300 million per year by 2025 (See: Digital Transformation Strategy 2020)

Data policy awareness amongst all policy makers

Adult digital and data literacy campaigns initiated

A. E-skills education policy and implementation capacity

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Data literacy education and training competencies

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Online informal education mechanisms for privacy e-skills

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 1: Data protection (personal /sensitive)

Objective

Institutional arrangements for autonomous and capacitated data/information regulator

Cross-jurisdiction powers and collaboration between national agencies and regional and continental data authorities

Up-to-date personal data protection law in force

Participation in peer networks

Public participatory strategies/frameworks in place

A. Capacity in institutional design, structuring, human resources, finance, corporate governance

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Data protection regulation expertise including monitoring and evaluation and enforcement

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Peoples’ (collective) rights law expertise

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

D. Access to data expertise for law-making and regulation

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

E. International negotiation and coordination skills

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

F. Expertise in managing relationships with multinationals/private sector

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

G. To run awareness, safety, privacy campaigns, facilitate data literacy training programmes and run consultative regulatory/policy processes (citizen/consumer campaigns)

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 2: Data sovereignty

Objective

Regulation protects individual data sovereignty and establishes flexible control over the flow of data within and beyond the border of the country

A. Public sector research expertise on realising data value and protecting citizens in data governance

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. Innovation capacity to innovate new models for data stewardship

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

C. Support for nationals to participate in emerging global, continental and regional data governance

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 3: Data control: data localisation

Objective

Justified and appropriate data localisation rules for special types of data operation

Rules reviewed to ensure no unanticipated consequences

A. Economic and legal expertise

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 4: Data access and interoperability

Objective

Data standards for interoperability and access in force

A. Expertise for data standard selection and standard compliance

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 5: Data security

Objective

Data security standards in operation

State uses secure technologies and creates/supports national or regional market for secure data technologies through procurement practises

A. Capacity to assess technologies for compliance with data security standards

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

B. To facilitate and review code

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 6: Cross-border data flows

Objective

Domestic support by both consumers and entrepreneurs for cross-border data flow

A. Capacity for data collection and assessment of data flows, value chains

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 7: Data demand

Objective

Public sector decisions deploy public data

Public sector data enables civil society and development agency work

A. Data analysis expertise

Systems, resources, and processes are at minimum or non-existent

Les systèmes, les ressources et les processus sont en place, mais certains domaines présentent des faiblesses persistantes

Systems, adequate resources, and viable programs with room for strengthening

B. Data gathering expertise

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening

5. Data Governance (Data Governance Inventory)

Section 8: Open data

Objective

Standards for open data developed

Guidelines created for specified private sector data are made public and contribute to data lakes or data commons or public interest data

A. Access to expertise in open data licensing

Systems, resources, and processes are at minimum or non-existent

Systems, adequate resources, and viable programs with room for strengthening