JOB DESCRIPTION

The overall objective of the study is to establish existing policies, practices and systems supporting data ecosystem in the country.

The specific objectives are:

Conduct mapping of policies, practices, technologies used in the existing data ecosystem Conduct extensive desk review and analysis of published reports relating to data ecosystem Use the findings to design a prototype Joint data ecosystem Use the findings to cost the Joint programme on Data Ecosystem

1.Scope of work

Gathering and analyzing information from existing published reports and databases.
Conduct analysis of existing data ecosystem (policies, practices, technology, systems) as shown below.
Table 1. Potential Information Factors

Factor Category

Factor Subcategory

Factor Variables

People

Demographics

Age, gender, income, education, location, languages spoken, origin, geographic distribution, ethnicity, religion.

People

Capacity

Adult skill levels for processing information (e.g. literacy, numeracy, problem-solving in technology-rich environments), broken down by geography and demographics.

Tech

Device Ownership

Device ownership (e.g., landlines, mobile phones, gaming consoles, computers, e-readers, televisions, VR consoles, personal assistant devices) by demographic group.

Data

M&E

Data flow pathways, paper based systems, e-reporting systems, interoperability, data sharing culture; data literacy ; M&E diagnosis, M&E system capabilities-Human and institutions; Data quality; data sources; Data analysis tools; Data management applications

Data

Statistics

Statistics Data needs and gaps, Statistics data coordination and flow; Data management, tools, Portals, repository, Websites, Institutional and human capacities; data sharing.

Data

Meta data

Assess existing Metadata from numerous systems across partner institutions, dedicated data repositories, data management planning tools, HR and grant management systems.

Locating and negotiating access to various metadata across the institutional systems. Mapping or cross-walking those metadata. technical solutions to metadata registries. Collection/harvesting of metadata from institutional data repositories and other data aggregator services across a range of data forma.

Tech

Available Services and systems

Communication services available, broken down by: type (e.g. phone, internet, website, application); location (domestic, foreign); infrastructure (e.g. underground cables, fiber optics, satellites, towers, switches, data centers, artificial intelligence); business model (e.g. paid subscription, ad-based); use of customer data (e.g. improve service; increase use; share with third party); pricing per subscription; and usage limits (e.g. time, data, service throttling broken down by type). For applications, broken down by type (e.g. social media, messaging, search, generative AI applications, e-commerce).

Tech

Service Consumption

Number of individual subscriptions to communication services broken down by: name/brand; service type (e.g. phone, internet, website, application); rates of usage; location of subscribers. For social media, influencers over a threshold.

Tech

Infrastructure & Investments

Investments into information ecosystem broken down by: investor origin (foreign, domestic); focus of investment (infrastructure, service provider); type of infrastructure (e.g. undersea cables, fiber optics, satellites, towers, switches); type of services (e.g. cell, internet, online services).

Tech

Outages

Rates of communication outages in the country broken down by the layer affected (electrical, infrastructure, broken down by type), communications services, broken down by type (software, domain, website), and by the cause (government, sabotage, natural disaster) and interoperability of systems.

Outputs

Advertising

Total advertising spending in ecosystem broken down by: type of media (e.g. print, TV, radio, web, social, SMS, email, out-of-home or outdoor); type of advertiser (e.g. retail, media and publishing, political, government, nonprofit, pharma and healthcare); use of AI-based real-time bidding.

Outputs

Content Moderation

Rate of content moderation in an information ecosystem by large online platforms (e.g. number of removals broken down by violation such as copyright infringement, spam, abuse, impersonation, disinformation, CIB; number of downranked content broken down by violation; percentage of fact-checking conducted by humans, algorithms, and AI and rates of false positives broken down by topics; number of trusted partners for fact-checking; number of collaborations with local stakeholders).

Outputs

Interventions

Number of intervention requests received by social media companies (e.g. takedown/data access requests by citizens/government), broken down by response.

Outputs

Surveillance

Number of wiretaps or interceptions of communications by authorities, broken down by reason, and if executed.

Outputs

Website Consumption

Most commonly accessed internet domains, broken down by type (news, social, entertainment, commerce), country of origin, and time spent on site.

Level of Education: Bachelor Degree

Work Hours: 8

Experience in Months: No requirements