Data Governance & Trust
Cross-border Data Flows and Trust
Data Free Flow
Data Localization, Data Residency, and Data Sovereignty
Data Privacy and Protection
Yusuf S Abdul-Qadir, Syracuse University, USA
Jane Appiah-Okyere and Lindsey Ama Benewaah Bonsu
1. No Poverty
2. Zero Hunger
3. Good Health and Well-Being
4. Quality Education
5. Gender Equality
6. Clean Water and Sanitation
7. Affordable and Clean Energy
8. Decent Work and Economic Growth
9. Industry, Innovation and Infrastructure
10. Reduced Inequalities
11. Sustainable Cities and Communities
12. Responsible Production and Consumption
13. Climate Action
14. Life Below Water
17. Partnerships for the Goals
Targets: Decision-makers require data and statistics that are precise, timely, suitably disaggregated, pertinent, available, and simple to use in order to fully implement and track progress on the SDGs. Over time, both the quantity and quality of data have gradually increased. Data literacy needs to be improved at all levels of decision-making, and statistical competence still needs to be strengthened. The data producers and users from various data ecosystems will need to work together on this. In order to handle the many difficulties of sustainable development, it will also necessitate the use of creative methods for the production and application of data and statistics.
In order to engage the audience, we'll use the capacity Peer Exchange methodology. This format will start with a quick introduction of data-related concerns on the continent, followed by conversations between a panel of experts and the audience.
This session will be organise around 3 themes, each of which has several objectives:
Theme 1: Addressing data gaps
- Present the current situation to produce and highlight data gaps.
- Discuss opportunities to strengthen data regimes.
- Discuss opportunities to further develop data system with a view to ensuring harmonization, comparability, and quality of data.
- Present possibilities for using new data/ technology to address identified data gaps and engage new actors.
- To determine how alignment with national and regional agendas will impact data collection and indicator production and reporting.
Theme 2: Encouraging data use
- Have an open dialogue with key users on how data produced can better meet their needs.
- Identify ways to harness the opportunity of the momentum around data for development agendas to strengthen the sharing, accessibility and presentation of data.
- Raise the profile of data production and use with key stakeholders including policy makers to encourage the use of improved data for evidence-based decision-making and accountability
Theme 3: Strengthening the Data Ecosystem
- Solidify the multi-stakeholder approach to achieving and measuring development agendas, and create new data communities.
- Identify and discuss solutions to major funding gaps.
- Identify and discuss solutions to technological and major capacity gaps.
- Provide an opportunity for country-to-country learning.
- Ensure high-level political and policy-maker buy-in for the Roadmap process.
- Identify key issues for the policy and enabling environment for the data ecosystem.
Inspiring and motivating all types of data users and decision-makers to increase their efforts to use data to inform decisions on policies, programmes, strategies, investments, and the design and implementation of programmes is our hope for the session. The session's success stories of data use will give others inspiration and ideas to try cutting-edge methods to increase data use. Information about hurdles encountered and tried-and-true solutions will be invaluable for those encountering similar challenges and assist people in getting over obstacles.
Links with the SDG targets
To properly implement and monitor progress on the SDGs, decision-makers need data and statistics that are accurate, timely, appropriately disaggregated, applicable, available, and easy to use. The amount and calibre of data have gradually improved throughout time. At all decision-making levels, data literacy must be increased, and statistical proficiency must be further developed. On this, the data producers and users from different data ecosystems will need to collaborate. The creation and utilisation of data and statistics will also require the adoption of innovative techniques in order to address the many challenges of sustainable development.
Leave No One Behind: The Importance of Data in Development.
- How data is governed properly and protected.
- Ways of ensuring data governance inclusivity
- Africa being left behind when discussions are going on based on connectivity
- Data is expensive, which prevents people from contributing to the data pull and connectivity
- Trying to close the gap to ensure inclusive internet
- Individuals do not have a digital footprint because they do not have the funds to purchase smart phones or the data to have access to the internet.
- Have generic devices that are cost-effective to enable the less privileged have the means to afford them to connect with the world as well
- The need to know diversity and need for data
- How do we transform people by giving them access to data?
- Transform the ecosystem of less privileged communities to get them connected to the internet.
- Have stronger lead institutions that include communities and women together.
- Having indigenous knowledge to leverage
- Development is a major challenge.
- Identifying the type of data that is needed
- Issue of capacity, knowledge, and skills in using their infrastructure.