November 18, 2025Open Access

An introduction to Software Management Plans

Key Points

Software Management Plans improve awareness of good practices in software development, ensuring quality throughout the research lifecycle.
Key elements include data collection and publication processes, crucial for managing research outputs effectively.
Focus on machine-actionable SMPs reveals the alignment of software management with FAIR principles for research software.
Understanding Data Management Plans and software management strategies is vital for successful research outcomes and data preservation.

Abstract

Data Management Plans helps us describe the data lifecycle for those datasets used in our research projects, from data collection to publication and preservation. A Software Management Plan (SMP) plays a similar role but for software. SMPs aim to raise awareness on good practices for research software development, from casual to production software. In this talk we introduce SMPs and machine-actionable SMPs, together with their alignment to FAIR for Research Software. This talk was presented at the Online Event Series: The future of Research Data Management on 2025-11-18, organized by the Humboldt University of Berlin.

An introduction to Software Management Plans

Key Points

Abstract

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