Academic literature on the topic 'UNICEF Uganda Country Programme'

The slow decrease in child stunting rates in East Africa warrants further research to identify the influence of contributing factors such as water, sanitation, and hygiene (WASH). This study investigated the association between child length and WASH conditions using the recently revised WHO and UNICEF (United Nations Children’s Fund) Joint Monitoring Programme (JMP) indicators. Data from households with infants and young children aged 6–23 months from the Demographic and Health Surveys in Burundi, Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda, and Zambia were used. Associations for each country between WASH conditions and length-for-age z-scores (LAZ) were analyzed using linear regression. Stunting rates were high (>20%) reaching 45% in Burundi. At the time of the most recent Demographic and Health Survey (DHS), more than half of the households in most countries did not have basic or safely managed WASH indicators. Models predicted significantly higher LAZ for children living in households with safely managed drinking water compared to those living in households drinking from surface water in Kenya (β = 0.13, p < 0.01) and Tanzania (β = 0.08, p < 0.05) after adjustment with child, maternal, and household covariates. Children living in households with improved sanitation facilities not shared with other households were also taller than children living in households practicing open defecation in Ethiopia (β = 0.07, p < 0.01) and Tanzania (β = 0.08, p < 0.01) in the adjusted models. All countries need improved WASH conditions to reduce pathogen and helminth contamination. Targeting adherence to the highest JMP indicators would support efforts to reduce child stunting in East Africa.

There has been exhaustive scrutiny of the policies of the Bretton Woods institutions and the United Nations Population Fund. UNICEF, despite a prominent role in agenda setting for children's welfare in developing countries, has not been subject to comparable scrutiny. This paper argues that the Country Programmes promulgated by UNICEF to improve children's welfare reflect ethnocentric conceptualisations of the family. As a case study, Ghana's Country Programme 2001–2005 is considered in detail. Anthropological studies are adduced to highlight underlying ethnocentric assumptions around social organisation. The ramifications of these assumptions are then considered.

ObjectivesRobust data on nutrition are essential to realise the right to nutrition for every child. Created in 2009, UNICEF’s Nutrition Dashboard (NutriDash) collects nutrition programme information from 125 countries. An in-depth review of NutriDash was conducted to understand its strengths and identify key actions to increase its effectiveness and efficiency.MethodsAdapting the Centres for Disease Control and Prevention updated guidelines for evaluating public health surveillance systems, a mixed-methods approach was used. A questionnaire was designed to capture information on key attributes of NutriDash and disseminated to UNICEF country offices for quantitative feedback on user experiences. Structured key informant interviews were held with internal and external stakeholders to gain qualitative perceptions on data generated from NutriDash. Analysis involved producing frequency distributions for the questionnaire data and performing thematic analyses on interview data.ResultsA total of 53 respondents completed the questionnaire (42% response rate), representing 48 countries and good regional geographic representation. Most respondents (96%) worked in UNICEF country offices. The percentages of participants who agreed or strongly agreed with each attribute of the NutriDash system were as follows: acceptability: 71%, stability: 68%, simplicity; 63%, data quality: 60%, flexibility: 58% and usefulness: 43%. Internal and external stakeholders commented on the value of NutriDash; its use ranging from nutrition global trend monitoring for programme planning to producing reports and dashboards. Key themes derived from this review as areas for improvement included communication, access to data and data quality.ConclusionsThis review has identified key themes that will inform improvements to NutriDash and form a baseline for future periodic reviews to continuously enhance the system to improve availability of timely quality nutrition programme data. UNICEF will continue to engage with countries, key partners and governments to improve the NutriDash data value chain and ensure the right to nutrition for every child.

Malnutrition is one of the common problems that afflict the poor in low- and middle-income countries like Uganda. The rate of decline of malnutrition in the country has been very slow for the last 15 years. This problem is of utmost concern in this era of Sustainable Development Goals (SDGs) in which achieving the goals is imperative. The aim of our study was to review literature on the prevalence and socio-economic impacts of malnutrition among children under 5 in Uganda and provide recommendations to address identified gaps. This review assesses available evidences, including journal articles, country reports, the World Health Organization (WHO) reports, the United Nations International Children’s Emergency Funds (UNICEF) reports, and other reports on issues pertaining to malnutrition among children in Uganda. Malnutrition, poverty, and chronic diseases are interconnected in such a way that each of the factors influences the presence and permanence of the other, resulting in a synergistic impact. The prevalence of acute and severe malnutrition among children under 5 is above the World Health Assembly target to reduce and maintain the prevalence under 5% by 2025. There are also limited studies on etiology of anemia as regards its prevalence in Uganda. The study presents a better understanding of the social and economic impact of child malnutrition on the families and the country’s development. The study also strongly suggests that, for Uganda to achieve sustainable development goal 2, financial investments by the government are necessary to address nutrition in the early stages of an individual’s life.

IntroductionEstimates of incident cases of severe wasting among young children are not available for most settings but are needed for optimal planning of treatment programmes and burden estimation. To improve programme planning, global guidance recommends a single ‘incidence correction factor’ of 1.6 be applied to available prevalence estimates to account for incident cases. This study aimed to update estimates of the incidence correction factor to improve programme planning and inform the approach to burden estimation for severe wasting.MethodsA global call was issued for secondary data from severe wasting treatment programmes including prevalence, population size, programme admission and programme coverage through a UNICEF-led effort. Site-specific incidence correction factors were calculated as the number of incident cases (annual programme admissions/programme coverage) divided by the number of prevalent cases (prevalence*population size). Estimates were aggregated by country, region and overall using inverse-variance weighted random-effects meta-analysis.ResultsWe estimated incidence correction factors from 352 sites in 20 countries. Estimates aggregated by country ranged from 1.3 (Nigeria) to 30.1 (Burundi). Excluding implausible values, the overall incidence correction factor was 3.6 (95% CI 3.4 to 3.9).ConclusionOur results suggest that incidence correction factors vary between sites and that the burden of severe wasting will often be underestimated using the currently recommended incidence correction factor of 1.6. Application of updated incidence correction factors represents a simple way to improve programme planning when incidence data are not available and could inform the approach to burden estimation.

Sudan occupies 2 500 000 km2 in East Africa. It has borders with nine countries, two of which are Arab: Egypt, Libya, Kenya, Uganda, Congo, Chad, the Central African Republic, Ethiopia and Eritrea. Sudan is the largest country in Africa. The heart of the country, in terms of population, lies at the confluence of the Blue and White Niles. The complex of the ‘three towns', comprising the three largest cities, Khartoum, Khartoum North and Omdurman, is situated there and contains almost 20% of the population. The total population of Sudan is about 35.4 million (projected from the 2005 census). The urban population was estimated at 33% of the total. About 2.2 million are still entirely nomadic. Sudan's peoples are as diverse as its geography. There are 19 major ethnic groups and 597 subgroups.

The Full Country Evaluations were Gavi-funded real-time evaluations of immunisation programmes in Bangladesh, Mozambique, Uganda and Zambia, from 2013 to 2016. The evaluations focused on providing evidence for improvement of immunisation delivery in these countries and spanned all phases of Gavi support. The process evaluation approach of the evaluations utilised mixed methods to track progress against defined theories-of-change and related milestones during the various stages of implementation of the Gavi support streams. This article highlights complexities of this type of real-time evaluation and shares lessons learnt on conducting such evaluation from the Zambian experience. Real-time process evaluation is a complex evaluation methodology that requires sensitivity to the context of the evaluation, catering for various information needs of stakeholders, and establishment of mutually beneficial relationships between programme implementers and evaluators. When used appropriately, it can be an effective means of informing programme decisions and aiding programme improvement for both donors and local implementers.

Abstract Inadequate hygiene coupled with the conjunctive use of the shallow subsurface as both a source of water and repository of faecal matter pose substantial risks to human health in low-income countries undergoing rapid urbanisation. To evaluate water, sanitation and hygiene (WASH) conditions in a small, rapidly growing town in central Uganda (Lukaya) served primarily by on-site water supply and sanitation facilities, water-point mapping, focus group discussions, sanitary-risk inspections and 386 household surveys were conducted. Household surveys indicate high awareness (82%) of domestic hygiene (e.g. handwashing, boiling water) but limited evidence of practice. WHO Sanitary Risk Surveys and Rapid Participatory Sanitation System Risk Assessments reveal further that community hygiene around water points and sanitation facilities including their maintenance is commonly inadequate. Spot sampling of groundwater quality shows widespread faecal contamination indicated by enumerated thermo-tolerant coliforms (TTCs) (Escherichia coli) ranging from 0 to 104 cfc/100 mL and nitrate concentrations that occasionally exceed 250 mg/L. As defined by the WHO/UNICEF Joint Monitoring programme, there are no safely managed water sources in Lukaya; ∼55% of improved water sources comprising primarily shallow hand-dug wells show gross faecal contamination by E. coli; and 51% of on-site sanitation facilities are unimproved. Despite the critical importance of on-site water supply and sanitation facilities in low-income countries to the realisation of UN Sustainable Goal 6 (access to safe water and sanitation for all by 2030), the analysis highlights the fragility and vulnerability of these systems where current monitoring and maintenance of communal facilities are commonly inadequate.

SUMMARYSchistosomiasis is widespread in Uganda along large lakes and rivers with approximately 4 million people infected. Hookworm infections also prevalent throughout the country, while infections withAscaris lumbricoidesandTrichuris trichiuraare mainly found in south-western Uganda. A national programme aimed at controlling morbidity due to these infections was launched in 2003. This article describes the perceptions, attitudes, constraints and experiences of those implementing the programme and those receiving the treatment. The study used qualitative data collected largely in two districts but also from 18 other districts implementing the programme. Results showed that mass treatment was perceived to be beneficial because the drugs make people feel better. However, side-effects of praziquantel (PZQ), the smell and size of the tablets and the use of height, not weight, to determine dose were raised as major factors discouraging people from taking the drug. Generally, most of the end-users were appreciative of the programme and were beginning to demand regular treatment. Nevertheless, intensive and sustained health education is still vital for improvement of treatment coverage, especially among the non-compliers. It was repeatedly highlighted that there is a need to stock PZQ in all health facilities in endemic areas. Provision of incentives to drug distributors and to involve as many stakeholders as possible in the planning phase were also raised by respondents. Lessons learned for the development and success of a helminth control programme at a national scale are discussed.

Abstract Vaccination, like most other public health services, relies on a complex package of intervention components, functioning systems and committed actors to achieve universal coverage. Despite significant investment in immunization programmes, national coverage trends have slowed and equity gaps have grown. This paper describes the design and implementation of the Gavi Full Country Evaluations, a multi-country, prospective, mixed-methods approach whose goal was to monitor and evaluate processes, inputs, outputs and outcomes of immunization programmes in Bangladesh, Mozambique, Uganda and Zambia. We implemented the Full Country Evaluations from 2013 to 2018 with the goal of identifying the drivers of immunization programme improvement to support programme implementation and increase equitable immunization coverage. The framework supported methodological and paradigmatic flexibility to respond to a broad range of evaluation and implementation research questions at global, national and cross-country levels, but was primarily underpinned by a focus on evaluating processes and identifying the root causes of implementation breakdowns. Process evaluation was driven by theories of change for each Gavi funding stream (e.g. Health Systems Strengthening) or activity, ranging from global policy development to district-level programme implementation. Mixing of methods increased in relevance and rigour over time as we learned to build multiple methods into increasingly tailored evaluation questions. Evaluation teams in country-based research institutes increasingly strengthened their level of embeddedness with immunization programmes as the emphasis shifted over time to focus more heavily on the use of findings for programme learning and adaptation. Based on our experiences implementing this approach, we recommend it for the evaluation of other complex interventions, health programmes or development assistance.

Employability is a positive and competitive state arising out of psychological capital, career identity, and social capital. Three studies were administered as censuses, (N=205), (N=214), (N=232), from graduates undertaking a skills training programme from Uganda Skills Development Programme (USDP). Quantitative analysis shows that psycap contributed greatly to employability, and social capital contributed less to employability of the unemployed but more to the employed in 2019 and 2020. Career identity showed a negative but significant relationship to employability in 2018 and 2019 while positive and significant relationship with employability in 2020. Social capital partially mediated the relationship between psycap and employability while the same fully mediated the relationship between career identity and employability. These results emphasize the importance of social capital and psycap in enhancing the various graduates' capabilities for positive employability outcomes. The negative career identity results reflect a boundaryless career mindset which is characterized by high physical and psychological mobility.

Achieving food and nutrition security remains a tall order for developing countries. The FAO, IFPRI, WFP, UNICEF and other international bodies continue to provide active support in order to achieve global food and nutrition security. However, low technological capability, inefficient production, insignificant economic growth, increasing populations and lately climate variability, affect food production, leading to either stagnation or modest gains in food and nutrition security in different regions of the World. For African countries, food and nutrition security continues to improve, albeit at a slow pace, although the recent breakout of COVID-19 is bound to lead to a decline in food production, in the short and mid-term. In the East African Community, political stability, ambitious economic planning, the quest for higher agricultural productivity, improving educational achievement, improving sanitation and health, are contributing to the improving food and nutrition security. To hasten the process, Kenya, Uganda and Tanzania embraced Vision 2030, Vision 2040 and Vision 2025, respectively. These grand, socio-economic plans bore Vision 2050 in the East African Community and Vision 2063 for the African Union. This chapter examines food and nutrition security in Kenya, Uganda and Tanzania, and provides country-specific recommendations for achieving it. These include investing in agriculture, decelerating population growth, using adaptive research to solve farmer-problems, strengthening farmer-organizations and the formation of cooperatives.

This report introduces findings from ten digital rights landscape country reports on Zimbabwe, Zambia, Uganda, Sudan, South Africa, Nigeria, Kenya, Ethiopia, Egypt, and Cameroon. They analyse how the openings and closings of online civic space affect citizens’ digital rights. They show that: (1) when civic space closes offline citizens often respond by opening civic space online; (2) when civic space opens online governments often take measures to close online space; and (3) the resulting reduction in digital rights makes it impossible to achieve the kind of inclusive governance defined in the Sustainable Development Goals (SDGs). We know far more about openings and closings of online civic space in the global North than we do in the global South. What little we do know about Africa is mainly about a single country, a single event, or single technology. For the first time, these reports make possible a comparative analysis of openings and closings of online civic space in Africa. They document 65 examples of the use of digital technologies to open online civic space and 115 examples of techniques used to close online civic space. The five tactics used most often to close online civic space in Africa are digital surveillance, disinformation, internet shutdowns, legislation, and arrests for online speech. The reports show clearly that any comprehensive analysis of digital rights requires consideration of the wider political, civic space, and technological contexts. We argue that countering the threats to democracy and digital rights discussed in the reports requires new evidence, awareness, and capacity. We propose applied research to build capacity in each country to effectively monitor, analyse, and counter the insidious impact of surveillance and disinformation; and a programme to raise awareness and mobilise opinion to open civic space and improve citizens’ ability to exercise, defend, and expand their digital rights.

This brief summarises key considerations concerning cross-border dynamics between Uganda and Kenya in the context of the outbreak of Ebola (Sudan Virus Disease, SVD) in Uganda. It is part of a series focusing on at-risk border areas between Uganda and four high priority neighbouring countries: Kenya; Rwanda; Tanzania, and South Sudan. The outbreak began in Mubende District, Uganda on 19 September 2022, approximately 340km from the Kenyan border. At the time of writing (December 2022), the outbreak had spread to eight Ugandan districts, including two in the Kampala metropolitan area. Kampala is a transport hub, with a population over 3.6 million. While the global risk from SVD remains low according to the World Health Organization (WHO), its presence in the Ugandan capital has significantly heightened the risk to regional neighbours. Kenya is categorised as a priority level 1 country, following a case in Jinja on the road between Kampala and the Kenyan border, on 13 November 2022. A total of 23 suspected cases were tested in Kenya up to 1 December 2022, all with negative results. To date, no case of SVD has been imported into the country from Uganda. This brief provides details about cross-border relations between the two states, the political and economic dynamics likely to influence these, and the specific areas and actors most at risk. The brief is based on a rapid review of existing published and grey literature, news reports, previous ethnographic research in Kenya and Uganda, and informal discussions with colleagues from the International Organisation for Migration, UNICEF, UNDP, Save the Children, the Kenyan Red Cross Society, the Kenyan Ministry of Health (MoH) and Ministry of Livestock, Agriculture and Fisheries in Kenya, and the Safe Water and AIDS project in Kisumu. It was requested by the Collective Service, written by Hugh Lamarque (University of Edinburgh) and Hannah Brown (Durham University) and supported by Olivia Tulloch (Anthrologica). It was further reviewed by colleagues from Anthrologica, the Institute of Development Studies, and the Collective Service. This brief is the responsibility of SSHAP.

Recognising the importance of integrated health service management and delivery to accelerate Universal Health Care (UHC) and tackle the Human Immunodeficiency Viruses (HIV), tuberculosis (TB), and malaria epidemics, the UK’s Foreign, Commonwealth and Development Office (FCDO) commissioned the Knowledge, Evidence and Learning for Development (K4D) Programme to undertake an evidence synthesis exercise of a set of BACKUP Health1 and K4D Helpdesk reports across six countries: Uganda, the Democratic Republic of Congo (DRC), Tanzania, Mozambique, Nigeria, and Zimbabwe (Ozano, 2022). The K4D reports highlight country-specific epidemiology, disease control programmes, and key interventions for each disease, including those likely to strengthen health systems and promote integration. The BACKUP reports focus more on integration and add country-specific details with recommendations.

This qualitative study was undertaken as part of the work of the Foreign, Commonwealth and Development Office (FCDO) funded Inclusion Works programme which aims to improve inclusive employment for people with disabilities in four countries: Uganda, Kenya, Nigeria, Bangladesh. When the COVID-19 pandemic emerged early in 2020 the work of this consortium programme was adapted to focus on pandemic relief and research activities, while some other planned work was not possible. The Institute of Development Studies (IDS) led a piece of qualitative research to explore the experiences and perceptions of the pandemic and related lockdowns in each country, using a narrative interview approach, which asks people to tell their stories, following up with some further questions once they have identified their priorities to talk about. 10 people with disabilities who were involved in Inclusion Works in each country were purposively selected to take part, each being invited to have two interviews with an interval of one or two months in between, in order to capture changes in their situation over time. The 10 interviewees had a range of impairments, were gender balanced and were various ages, as well as having differing living and working situations.

In November 2020, UNICEF requested support from EdTech Hub to help the Government of Bangladesh improve the reach, effectiveness, and inclusiveness of the programme of activities proposed in the government’s Covid-19 Response and Recovery Plan: Education Sector (⇡Ministry of Primary and Mass Education, 2020). At that time, this plan led to a wide and diverse range of programmes initiated by the government and other stakeholders. As a result, EdTech Hub worked with the government and other stakeholders to rapidly create A Theory of Change (TOC) for a technology-enhanced education system (⇡Clark-Wilson et al., 2021). While acknowledging that parents, caregivers, teachers, school, and community leaders are also key stakeholders, the first TOC focused on learners as, ultimately, the desired impacts of a technology-enhanced education system are directed towards learners’ educational outcomes. One recommendation of the earlier working paper was that a TOC should also be developed that focused on teachers as key agents in the development of a technology-enhanced education system for the country. The process to develop this second TOC comprised a desktop review, interviews, and two stakeholder consultation workshops. The resulting teacher-centred TOC draws on existing theory and practice as well as stakeholders’ assumptions of how the evolving technology-enhanced teacher professional development offer might achieve its goals — and what conditions need to be in place to achieve this. This working paper documents and explains the teacher-centred TOC. An output of the EdTech Hub, https://edtechhub.org

In November 2020, UNICEF requested support from EdTech Hub to help the Government of Bangladesh improve the reach, effectiveness, and inclusiveness of the programme of activities proposed in the government’s Covid-19 Response and Recovery Plan: Education Sector (⇡Ministry of Primary and Mass Education, 2020). At that time, this plan led to a wide and diverse range of programmes initiated by the government and other stakeholders. As a result, EdTech Hub worked with the government and other stakeholders to rapidly create A Theory of Change (TOC) for a technology-enhanced education system (⇡Clark-Wilson et al., 2021). While acknowledging that parents, caregivers, teachers, school, and community leaders are also key stakeholders, the first TOC focused on learners as, ultimately, the desired impacts of a technology-enhanced education system are directed towards learners’ educational outcomes. One recommendation of the earlier working paper was that a TOC should also be developed that focused on teachers as key agents in the development of a technology-enhanced education system for the country. The process to develop this second TOC comprised a desktop review, interviews, and two stakeholder consultation workshops. The resulting teacher-centred TOC draws on existing theory and practice as well as stakeholders’ assumptions of how the evolving technology-enhanced teacher professional development offer might achieve its goals — and what conditions need to be in place to achieve this. This working paper documents and explains the teacher-centred TOC. An output of the EdTech Hub, https://edtechhub.org

This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.