| In early 2019, the Office of the UN High Commissioner for Human Rights (OHCHR) needed to develop custom-tailored features in DEEP to allow its Emergency Response Teams to capture, process and analyze human rights data more effectively. For wanted to develop features that enable users to have analytical frameworks and projects in DEEP that supported strict privacy protocols because of the data being handled. Additionally, Natural Language Processing (NLP) technology was needed for OHCHR to efficiently process predictive tagging. | DFS provides a significant update to the DEEP system enabling OHCHR, and all DEEP users, to create private analytical frameworks and projects which would restrict data access to a specific group of people. We utilized data encryption protocols after completing a rigorous security audit and integrated the European Media Monitoring (EMM) model in DEEP. This allows users to pull custom feeds more securely from EMM into global projects to inform trend analysis and risk assessments in specific countries. |