KAZNET Web Application User Guide
KAZNET was designed to use citizen science and crowdsourcing techniques to monitor shocks and resilience indicators at markets, rangelands, and household level and to disseminate this information near-real-time to end users for decision support and as a de-risking measure. KAZNET is based on a mobil...
| Main Authors: | , , , , , , , |
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| Format: | Manual |
| Language: | Inglés |
| Published: |
International Livestock Research Institute
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/177980 |
| _version_ | 1855528046362099712 |
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| author | Lepariyo, Watson Shikuku, Kelvin Mashisia Alulu, Vincent Baraza, Meshack Galgallo, Diba Gobu, Wako Godana, Nura Banerjee, Rupsha R. |
| author_browse | Alulu, Vincent Banerjee, Rupsha R. Baraza, Meshack Galgallo, Diba Gobu, Wako Godana, Nura Lepariyo, Watson Shikuku, Kelvin Mashisia |
| author_facet | Lepariyo, Watson Shikuku, Kelvin Mashisia Alulu, Vincent Baraza, Meshack Galgallo, Diba Gobu, Wako Godana, Nura Banerjee, Rupsha R. |
| author_sort | Lepariyo, Watson |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | KAZNET was designed to use citizen science and crowdsourcing techniques to monitor shocks and resilience indicators at markets, rangelands, and household level and to disseminate this information near-real-time to end users for decision support and as a de-risking measure. KAZNET is based on a mobile and web-based application designed for seamless data collection and management. It enables “contributors” to collect field data through assigned tasks and information users to access information. The system supports offline data collection, ensuring flexibility in various field conditions, and provides a structured approval workflow to maintain data accuracy and integrity. With real-time synchronization, KAZNET ensures efficient and secure data management for informed decision-making. |
| format | Manual |
| id | CGSpace177980 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Livestock Research Institute |
| publisherStr | International Livestock Research Institute |
| record_format | dspace |
| spelling | CGSpace1779802025-11-19T02:08:57Z KAZNET Web Application User Guide Lepariyo, Watson Shikuku, Kelvin Mashisia Alulu, Vincent Baraza, Meshack Galgallo, Diba Gobu, Wako Godana, Nura Banerjee, Rupsha R. information decision making data collection mobile data collection e-learning KAZNET was designed to use citizen science and crowdsourcing techniques to monitor shocks and resilience indicators at markets, rangelands, and household level and to disseminate this information near-real-time to end users for decision support and as a de-risking measure. KAZNET is based on a mobile and web-based application designed for seamless data collection and management. It enables “contributors” to collect field data through assigned tasks and information users to access information. The system supports offline data collection, ensuring flexibility in various field conditions, and provides a structured approval workflow to maintain data accuracy and integrity. With real-time synchronization, KAZNET ensures efficient and secure data management for informed decision-making. 2025-11-01 2025-11-18T07:45:55Z 2025-11-18T07:45:55Z Manual https://hdl.handle.net/10568/177980 en Open Access application/pdf International Livestock Research Institute Lepariyo, W., Shikuku, K., Alulu, V., Baraza, M., Galgallo, D., Gobu, W., Godana, N. and Banerjee R. 2025. KAZNET mobile application user guide. ILRI Manual 83. Nairobi, Kenya: ILRI. |
| spellingShingle | information decision making data collection mobile data collection e-learning Lepariyo, Watson Shikuku, Kelvin Mashisia Alulu, Vincent Baraza, Meshack Galgallo, Diba Gobu, Wako Godana, Nura Banerjee, Rupsha R. KAZNET Web Application User Guide |
| title | KAZNET Web Application User Guide |
| title_full | KAZNET Web Application User Guide |
| title_fullStr | KAZNET Web Application User Guide |
| title_full_unstemmed | KAZNET Web Application User Guide |
| title_short | KAZNET Web Application User Guide |
| title_sort | kaznet web application user guide |
| topic | information decision making data collection mobile data collection e-learning |
| url | https://hdl.handle.net/10568/177980 |
| work_keys_str_mv | AT lepariyowatson kaznetwebapplicationuserguide AT shikukukelvinmashisia kaznetwebapplicationuserguide AT aluluvincent kaznetwebapplicationuserguide AT barazameshack kaznetwebapplicationuserguide AT galgallodiba kaznetwebapplicationuserguide AT gobuwako kaznetwebapplicationuserguide AT godananura kaznetwebapplicationuserguide AT banerjeerupshar kaznetwebapplicationuserguide |