DEEP is an intelligent web-based platform offering a suite of collaborative tools tailored towards humanitarian crisis responses. It includes common analysis workflows and frameworks for thinking using both structured and unstructured, quantitative and qualitative data. By using a customizable analysis frameworks, users can easily catalog information contained in large amounts of documents and export it to a variety of formats. Supporting this, DEEP has a long term vision of using text analysis techniques in order to streamline the process of sourcing information from online sources and semi-automating document information extraction. Although the platform is meant to be a collaborative space, it is open-source and available to be deployed in private server environments. Data in DEEP is visible only to users granted access to a project space and is stored using modern web technology standards.
Development of DEEP began in early 2016 and it is a collaborative project governed by ACAPS, IDMC, IFRC, JIPS, UNHCR, UNICEF, UN OCHA, OHCHR and Okular-Analytics.
The platform can support a variety of field or headquarters-based institutional workstreams requiring solutions for managing unstructured data such as:
- Secondary Data Review for informing specific research, context, sector or situational analysis or in support to needs assessments.
- Protection Monitoring, designed to identify violations of rights and protection risks for populations of concern.
- Participatory Assessments, informing country operations planning and programming.
- Risk Analysis, using media monitoring and collaborative analysis as a basis for detection of changes and early warning, early action.
- Assessment Registry, cataloguing existing assessments reports for easy retrieval and understanding of where needs related information is available.
Please sign in to leave a comment.