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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lepariyo, Watson, Shikuku, Kelvin Mashisia, Alulu, Vincent, Baraza, Meshack, Galgallo, Diba, Gobu, Wako, Godana, Nura, Banerjee, Rupsha R.
Formato: Manual
Lenguaje:Inglés
Publicado: International Livestock Research Institute 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/177571
_version_ 1855532613457936384
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 CGSpace177571
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 CGSpace1775712025-11-06T02:11:41Z KAZNET Web Application User Guide Lepariyo, Watson Shikuku, Kelvin Mashisia Alulu, Vincent Baraza, Meshack Galgallo, Diba Gobu, Wako Godana, Nura Banerjee, Rupsha R. pastoralists data management information systems 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. 2025-10-01 2025-11-05T07:48:57Z 2025-11-05T07:48:57Z Manual https://hdl.handle.net/10568/177571 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 web application user guide. ILRI Manual 82. Nairobi, Kenya. ILRI.
spellingShingle pastoralists
data management
information systems
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 pastoralists
data management
information systems
url https://hdl.handle.net/10568/177571
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