Morning: Introduction to data management systems and governance. Overview of existing spatial data management systems/aggregators relevant to participants’ countries. Best practices for designing data governance plans.

Afternoon: Group Exercise: Participants research and evaluate current geospatial data systems in their country (or organisation). Assess data availability, quality, accessibility, and existing governance practices. Begin drafting notes for a data governance plan. 

Afternoon: Group Exercise: Participants research and evaluate current geospatial data systems in their country (or organisation). Assess data availability, quality, accessibility, and existing governance practices. Begin drafting notes for a data governance plan. 

Presentation and discussion
 • Preparing a brief presentation of your findings and analysis
 • Group presentations and feedback
 • Discussion on key technical components and improvement strategies

Morning: Discussion on assessing data needs for energy access (electrification, clean cooking) planning. Principles of database schema design for spatial data.

Afternoon: Hands-on: Identify key data required for participants’ country projects; design a prototype database schema (tables, attributes, relationships) for managing this data. Continue drafting the data governance plan (focusing on data needs and proposed database structure). 

Afternoon: Hands-on: Identify key data required for participants’ country projects; design a prototype database schema (tables, attributes, relationships) for managing this data. Continue drafting the data governance plan (focusing on data needs and proposed database structure). 

Presentation and drafting of a data governance plan
 • Preparing a brief presentation showcasing your analysis and proposed database schema
 • Developing the first draft of a data governance plan for your institution or country
 • Group presentations and feedback session

Morning: Techniques for data validation and quality assessment. Common data errors and how to detect/fix them. Importance of data documentation during validation. 

Afternoon: Hands-on: Validate and clean the collected data for each country project. Identify errors or gaps in datasets (e.g., missing entries, geometric errors, outliers). Apply quality checks and corrections. Document any changes or assumptions. If time permits, begin integrating corrected data into QGIS and performing basic visual analysis.

Afternoon: Hands-on: Validate and clean the collected data for each country project. Identify errors or gaps in datasets (e.g., missing entries, geometric errors, outliers). Apply quality checks and corrections. Document any changes or assumptions. If time permits, begin integrating corrected data into QGIS and performing basic visual analysis.

Developing and enhancing data governance plans
 • Customised plans: Continue developing data governance plans for participants' institutions or countries.
 • Validation and best practices: Emphasise the need for validation processes and best practices for data quality and documentation.
 • Data limitations: Address data limitations to improve energy access planning.
 • Ensure quality: Implement strategies to maintain high data quality.

Morning: Focus on organisational and policy aspects of data management. Discuss establishing data management teams or working groups, defining roles/responsibilities, data licensing issues, data security and privacy, strategies for data sharing and dissemination, and maintenance of data systems.

Afternoon: Hands-on: Participants incorporate these non-technical elements into their data governance plan drafts (e.g., assign roles to hypothetical organisations or units in their country, plan for data security measures and licenses). By the end of the day, a near-complete draft of the data governance plan should be in place for each project.

Afternoon: Hands-on: Participants incorporate these non-technical elements into their data governance plan drafts (e.g., assign roles to hypothetical organisations or units in their country, plan for data security measures and licenses). By the end of the day, a near-complete draft of the data governance plan should be in place for each project.

Continue working on data governance plan for your institution or country.

Morning: Focus on organisational and policy aspects of data management. Discuss establishing data management teams or working groups, defining roles/responsibilities, data licensing issues, data security and privacy, strategies for data sharing and dissemination, and maintenance of data systems.

Afternoon: Hands-on: Participants incorporate these non-technical elements into their data governance plan drafts (e.g., assign roles to hypothetical organisations or units in their country, plan for data security measures and licenses). By the end of the day, a near-complete draft of the data governance plan should be in place for each project.

Afternoon: Hands-on: Participants incorporate these non-technical elements into their data governance plan drafts (e.g., assign roles to hypothetical organisations or units in their country, plan for data security measures and licenses). By the end of the day, a near-complete draft of the data governance plan should be in place for each project.

Continue working on data governance plan for your institution or country.

Finalise Data Governance Plan – Participants work on completing the final draft of their data governance plan document. This includes consolidating all sections (data needs, governance framework, roles, data workflows, quality control, security, sustainability). Instructors provide feedback and ensure key elements are addressed.

Finalise Data Governance Plan – Participants work on completing the final draft of their data governance plan document. This includes consolidating all sections (data needs, governance framework, roles, data workflows, quality control, security, sustainability). Instructors provide feedback and ensure key elements are addressed.

Finalise Data Governance Plan – Participants work on completing the final draft of their data governance plan document. This includes consolidating all sections (data needs, governance framework, roles, data workflows, quality control, security, sustainability). Instructors provide feedback and ensure key elements are addressed.

Finalise Data Governance Plan – Participants work on completing the final draft of their data governance plan document. This includes consolidating all sections (data needs, governance framework, roles, data workflows, quality control, security, sustainability). Instructors provide feedback and ensure key elements are addressed.

Presentation & Report Preparation – Participants begin converting their plans and analysis into presentation slides and a written report. Guidance is given on how to effectively communicate findings and recommendations. Participants use a provided report template to document their work comprehensively.

Presentation & Report Preparation – Participants begin converting their plans and analysis into presentation slides and a written report. Guidance is given on how to effectively communicate findings and recommendations. Participants use a provided report template to document their work comprehensively.

Presentation & Report Preparation – Participants begin converting their plans and analysis into presentation slides and a written report. Guidance is given on how to effectively communicate findings and recommendations. Participants use a provided report template to document their work comprehensively.

Presentation & Report Preparation – Participants begin converting their plans and analysis into presentation slides and a written report. Guidance is given on how to effectively communicate findings and recommendations. Participants use a provided report template to document their work comprehensively.

Practice & Peer Review – Internal session where participants present their draft presentations to the group/instructors for critique. Feedback is exchanged between peers. Time is allotted to refine both the presentation and the report based on input received.

Practice & Peer Review – Internal session where participants present their draft presentations to the group/instructors for critique. Feedback is exchanged between peers. Time is allotted to refine both the presentation and the report based on input received.

Final Touches – Participants finalise their reports and presentations. The last questions are addressed. A final rehearsal or discussion is held to ensure everyone is prepared for the joint session. All final documents are completed by the end of the day.

Final Touches – Participants finalise their reports and presentations. The last questions are addressed. A final rehearsal or discussion is held to ensure everyone is prepared for the joint session. All final documents are completed by the end of the day.

13:30 - 14:00	CLEWs (Mai Ehab Ibrahime Hamed Aboelabaas, Marcel Aragah, Lesogo Molapsi, Orapeleng Conrad Ntshese, Pako Lekoko, Kagisho Molalapata)	

14:00 - 14:30	OnSSET (Anita Carola Raharisoa, Tsiriry Ranarison, Stella Mutai, Pecos Kuteesa)

14:30 - 14:50	GeoSpatial Data Management (Inocencio Gujamo, Fernando Mazoio, Irena Stanislavova Shaleva, Lupupa Siulapwa, Katebe Sakala, Michelo Choongo)

14:50 - 15:30	Energy Access Explorer (Michelle Achieng, Nafula Simiyu, Blessing Igbokwe, Gautham, Kundan Majagaiya)

16:00 - 16:30 	OSeMOSYS (Ayesha Sadiqa, Asbina Baral, Alfred Kampira Levison)
	
16:30 - 16:50	OnStove (Rukia Bakari Khamis, Kamil Dino Adem)
	
16:50 - 17:00	EMC and FlatPack (Kane Alexander)

Chair: Carla Cannone (Liaison Officer, CCG/ICTP)

Chair: Alexandros Korkovelos (Se4All)

Chair: Stephen John Nicholls (African Climate Foundation)