Data Management Plan for project "Model-Based Methodology for Development of IT Project Management Plan and Scope Using Artificial Intelligence Algorithms"

The project develops a model-driven and AI-assisted methodology for automated generation of IT project scope and project management plan artefacts. The DMP covers conceptual models, transformation outputs, structured artefact pools (JSON), backlog datasets, scope artefacts, project plan documents, and Systematic Literature Review (SLR) datasets associated with the research. The project includes two Systematic Literature Review (SLR) datasets that were developed to analyse existing approaches to artefact transformation, model-driven engineering applications, and AI-assisted techniques in early IT project management phases. These datasets contain structured metadata extracted from peer-reviewed scientific publications, including bibliographic information, methodological classifications, artefact types, transformation relationships, automation levels, and identified research gaps. The SLR datasets were constructed following PRISMA review protocols, including transparent search strategies, inclusion and exclusion criteria, screening procedures, and structured data extraction.