This document discusses implementing Linked Data in low resource conditions. It begins by outlining goals of providing a high-level view of Linked Data, identifying possible bottlenecks due to limited resources, and offering suggestions to overcome bottlenecks based on experience. It then defines what is meant by "low-resource conditions", including limited IT competencies, software, hardware, electricity, internet access. The document outlines the Linked Data workflow and discusses each step in more detail, including data generation, conversion to RDF, data storage, maintenance, linking, and exposure. It highlights the example of AGRIS, a collaborative Linked Data application, and emphasizes starting small, being strategic, reusing existing resources, and collaborating to maximize resources in low