Welcome to the SUSADICA Data Reuse Tutoring Modules!

SUSADICA Data Reuse addresses the limited availability and use of high-quality survey data for research on sustainable agricultural development in Central Asia. It builds on a unique two-wave farm survey dataset collected in Kazakhstan and Uzbekistan in 2019 and 2022 in the framework of the Structured doctoral programme on Sustainable Agricultural Development in Central Asia (SUSADICA). The dataset covers various topics of farm business and decision-making.

Here we present a set of fully asynchronous video tutoring modules to promote the use of the dataset and demonstrate analytical use cases in a Stata environment. The training content covers data management principles, analytical techniques, and practical guidance for using the SUSADICA datasets in research and policy work, with special attention to users in Central Asia.

The original data and a full data documentation package is available in the Harvard Dataverse repository at https://doi.org/10.7910/DVN/DJWILN.

Created in August 2026. This tutorial is an output of the project “Data Reuse on Sustainable Agricultural Development in Central Asia (SUSADICA Data Reuse)”. The authors gratefully acknowledge the financial support by the Volkswagen Foundation under the “Data Reuse – Additional Funding for the Preparation and Storage of Research Data (Open Science)” initiative (project Nr. 0072395-00). The original farm survey data collection was carried within the Structured Doctoral Programme on Sustainable Agricultural Development in Central Asia (SUSADICA), funded by the Volkswagen Foundation (Grant Number 96 264) under the initiative ‘‘Between Europe and the Orient – A Focus on Research and Higher Education in/on Central Asia and the Caucasus”.